FEDERAL DEMOCRATIC REPUBLIC OF ETHIOPIA
MINISTRY OF WATER RESOURCES
•- r - • . » ■-
• .
• •<* •
BAROAKOBO RIVER BASIN
INTEGRATED DEVELOPMENT
MASTER PLAN STUDY
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* 4 ’ 1 •
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FINAL REPOR r
ANNEX 1 PT. ?
V
WATER RESOURCESFFPFRA1 DFM(HR\ri( RFPI Rl l( OF F FHTOP1 \ MIXRTm O’ w \ HR RFSOI Hr FS
B \R()- \K( )BO RIVER B ASIN (NTEGR A FED DE VEL( ’PM I N7
MASTER PI AN STUDY
ANNEX I
U \TFR RESOl R< ES
P’irf ’
1H Hydrology
f *'** t I <
tV- Aymrr r Motf- r" »nINDEX OF VOLUMES AND ANNEXES
Volume
I:EXECUTIVE
SUMMARY
Volume n: ________ __________ ______ RESOURCE RaSE AW DEVELOPMENT OPTION-, Volume HI:_________ ____________ Master PLAN DEVELOPMENT
Volume IV:—---------------------- -------------PROJECT AREA MAPS
Volume V................................... —..... i*RE FEASIBILITY siLDIE5
ANNEXES
/, RM TER RESOURCES
.Annex 1 A Climatology
Annex 1B ............................................. Hydrology
Annex IC Annex ID Annex IE Annex IF Annex IG Annex IH Annex II Annex 1J 
Flood Studies
Ground Water
.... Reservoir Operation Studies
Sediment Studies
Water Resources Cost Estimating Irrigation Projects
Water Supply Projects Hydropower Projects
2 NATURAL RESOURCES
Annex 2A
Annex 2B
Annex 2C
Annex 2D Mineral Resources Annex 2E Forestry Annex 2F Wildlife
Annex 2G Tourism
Land Evaluation
Soils and Soil Conservation Geology
Annex 2H Apiculture
Annex 21.
■Annex 2J 
........ Agriculture
Renewable Energy
.Annex 2K Fisheries
Annex 2L ............................... . Livestock
J. SOCIO-ECONOMICS
.Annex 3 A Population .Aspects
Annex 3B
Annex 3C
Socio-Ethnic Groups Analysis, Economic Infrastructures
.Annex 3D ............................... — Social Infrastructures
Annex 3E Economic and Financial Analysis
Annex 3F.. /
Annex 4
ENVfltaVMEAT
Institutional Support Environment
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T.YMS-L LG BinhAkflbo twated Do dement Muter PlanWATER RESOURCES
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CONTENTS
1. DRAINAGE NETWORK
1.1 Location
...............................................................................*
1.2 Climate -........................................................................................................................
13 Morphology.......................................................................................................... .....................
14 River System
2. INFILLED DATA PROCEDURE—•............................—•••••***
2 I Correlation Coefficients of the Observed Monthly Data Flow
2 2 Gambela Rainfall and Runoff Stations 
3. 23 INTPEaGtchRiAngTMIOodNe O) .F R .......A..I..N...FA.....L...L.. O.....V...E..R... T....H...E.. C....A...T...C...H...M....E..N...T...S..10..................................................
4. STOCHASTIC GENERATION MODEL11
4 1 Zucchini Hiemstra Stochastic Model ...................................................................................... 1 I 4 2 Results of the Stochastic Model ............................................................. . ... .11
5 TRANSFER FLOW SEQUENCES TO THE DAM SITES16
APPENDICES
Appendix 1
Appendix 2
Appendix 3
Appendix 4. Appendix 5
Appendix 6:
Appendix 7:
Appendix 8: Appendix 9
Rainfall & Runoff Long-Term Data at Gambela.
Example of the Output Analysis from the Patch Program (Station 1, 8 &. 6) Monthly Observed and Infilled Flow by Station
Monthly Observed and Infilled Flow by Year
Standardised Time Series
Histogram of the Monthly Flow by Station
Results of the Stochastic Model
Generated Monthly Tune Series Flows at the Hydrometric Stations Generated Monthly Time Series Flows at the Dam Sites
TABLES
T able 1
Table 2:
Table 3: Table 4.
Table 5
Table 6
Table 7
Table 8
Table 9; Table 10: T able 11 Table 12. Table 13
Hydrometric Network
Number of Observed Monthly Flow Data during a Year
Number of Observed Infilled Flow Data during a Year
Number of Observed and Infilled Monthly Flow Data during a Year
Correlation coefficient of the Observed Monthly How between stations 
Statistics of the Observed Monthly Flow by Station
Number of the Long Term Observed Monthly Data at Gambela
Correlation coefficient of the Observed and Infilled Flow between stations Average Monthly Flow by Station
Yearly Flow by Station
Yearly Observed Flow & Infilled Flow by Station
Comparison of Monthly Average Runoff
Comparison with Previous Studies of the Mean Annual Runoff FAMS-(LG bar O-A kobo Intcuratert Development Muter Flan
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FIGURES
Figure 1
Standardised Series at Gambella
Figure 2
Scancred Long Term Flow versus Rainfall at
Gambella
Figure 3.
Scattered Long Term Flow versus Rainfall at
Gambella without Outliers
Figure 4
Figure 5
Regression Flow versus Rainfall at Gambella, Rainfall Time Lag 1 Month Regression Flow versus Rainfall at Gambella, Rainfall Time Lag 2 Month
Figure 6 Scattered Specific Flow versus Elevation
Figure 7
Figure 8
Scattered Mean .Annual Runoff versus Catchment Area Scattered Log-Mean Annual Runoff Versus Log-Catchment Area
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I, DRAIN AGE NETWORK
1.1 Location
The Baro-Akobo basin is the 4th largest basin in the country, after the Wabi Shebeli, Abbay and Tekeze river basins It is located in the south west of the country; between latitudes 5’ 31' and 16° 54' North and longitude 33° and 36° 17' East and covers an area of some 76.000 km1 The western, north western and south western side of the basin borders with the Sudan, while in the north and north east it is bordered by the Abbay River basin and in the east and south east it is bordeted by the Omo-Gibe rivet basin
1.2 Climate
Climatically, the entire area is characterised by a single monsoon wet season that runs from late May or early June to the end of Septcmber/early October The wet season is followed by a long drv season Rainfall is highest at altitudes of 2000 masl and over, where it reaches 2,400 mm but is only 900 to 1500 mm in the lower areas 80 to 90% of this rainfall occurs in the wet season Mean annual air temperatures also vary with altitude from a high of28°C in the low land to a low of 17°C in the mountains December is usually ihe coldest month and March. April and May are the hottest months, but the variability over the year is not large
1.3 Morphology
The river basin area elevation varies from 395 masi m the west to as high as 3000 mas! in the Eastern Highlands The eastern part of the Project area consists of the upland area of the FitawTari Mekonnen Plateau and the Masongo Range. These areas form the eastern boundaries of the catchment of the Baro-Akobo River system The upland area covers around 70 percent of the total project area Moving west, one comes to the high IUubabor plain which descends westward from 2500-500 mas I to around 400 mail This then becomes the low IUubabor plain, which inclines gently westwards from around 440 m to 395 masl. The low' IUubabor plain is prone to inundation and water logging during the wet season of June to September
1.4 River System
The major rivers within the Baro-Akobo Basin are Baro and its tributaries (Birbir, Geba. Sor and Baro), Alwcro, Gilo and Akobo. The general flow direction of the rivers is from east co west originating from the highlands and falling to the Gambela Plain. The river flow regime is closely connected to the monsoon climate with stream flows increasing through May to September, where they reach a maximum, mostly in the month of September When the wet season ceases, the river levels decline and the flows are smallest from December
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water resources
are perenmal ahhough some smaller courses dry „ b
most vears
wrth Sudan at Twjo^ village called Mad g
flows down tQ west |t reaches jlkawo a
thc west it joins the Pib<M
XTaX Sudan
-
a*
°**
Bas'"'s 
,0
th£
Thc Mean Annual Flow of the rivers in the basin, at the border, is estimated to be 23 billion nJ. as shown below This figure does not include the water lost through evaporation and other means by inundating the larger area of the western coastal lowlands
Basin
Bare
Akobo, Lower Akobo Upper Gilo
Alwero Serkole Tirmatid Pibor Total
Catchment area (km )
2
30,004 7,209 6,036 12,815
8,019 7,702 2,690 1,435
75,910
Mean annual runoff (MAR)
(Mcm/year)
12,784 2,118 1,774 3.224 1,375 1,320 419 224
23,238
The Basin is one of the major tributaries to the Nile basin The contribution of the Baro- Akobo River Basin to the Nile system at .Aswan High Dam is 8 % of the total yield of the Nile system.
The hydrology studies of the river basins of the area have been studied extensively by Selkhozpromexpon in 1990 for the Lowlands and by ARDCO-GEOSERV in 1995 for the Highlands
All the major rivers are gauged except the Akobo where it flows on the border with Sudan and all its tributaries The surface area of the portion of the river catchment fully in Ethiopia
is estimated to 6,036 km’ The hydrometric network is presented below in Table 1. Unfortunately the data collection is not very consistent Although the flow at Gambela is available from 1906, all others stations’ monthly data have been recorded relatively recently It seems that some stations have been eliminated from the analysis because their period of record is too short These stations are No.4 Ouwa, No 7AJwero; and No. 1 IBaro
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Table I Hydrometric Network
Number
Station
Latitude
Longitude
Elevation
Catchment
area (km*>
1
Ketto near Chanka
35 02
8 46
1350
1006
—
2
Baro at Gambella
34 34
8 14
450
23461
3
Gumero near Gore
35 29
8 09
1750
--
r
106
4
Ouwa near Guliso
35 32
9 09
1500
288
5
Alwero at Abobo
34 33
751
450
2800
6
Uka at Lika
35 21
8 10
1650
53
7
Alwero near Dam Site
34 40
7 45
500
1043
8
Metti near Dembidolo
34 50
8 35
1550
144
Sor at Mettu
35 36
8 18
1700
1622
1 10
Baro at Itang
34 16
8 11
425
24636
Hi
Baro near B.Kella
34 25
8 14
425
4937
i 12
Kuni near Chanka
35 05
8 51
1500
88
13
Gilo near Pugnido
34 15
7 37
450
10137
14
Gecheb near M Teferi
35 33
700
1300
79
15
Birun Wuha near Tcpi
35 28
7 12
1150
220
16
Beg Wuha near Tepi
35 26
7 12
1150
125
17
Birbir near Yubdo
35 28
8 57
1500
1563
Moreover the data is not continuous and there are many data gaps Table 2 presents the number of monthly observed data flow per year during the period of observation 1967- 1993 The total number of records during this period is 1,930 The total daia during the period should have been 4,212. (13 stations per 27 year per 12 months ) So the available data represents only 54% of the supposed total data Consequently the number of infilled data, (46%), cannot be estimated from the 54% existing data Only stations with gaps during a period where records were taken will be infilled With this condition the number of infilled data will be only 542, (see Table 3) and the total number of continuous data, observed and infilled is 2,472 (see Table 4) Then the observed data represents 78% of the total data and only 22% of the data have to be estimated The difficulty with this approach is that the length of record depends on the different stations and has to be considered in the model to generate the monthly record
In summary the proposed methodology for data processing is:
1.
Infill the data gaps by linear regression and Patch Programs from the neighbouring
stations.
2.
3.
Correlation between monthly flows at the gauging stations and monthly rainfall
stations will be analysed to select a set of representative rainfall for each catchment
A Stochastic Desegregated Model will be used to generate the long-term monthly 
ou senes for each gauging stations This stochastic model provides some test of acceptance of the results Where this is not suitable, the long term time series of the Gambela ramfall and/or hydrometric station expressed in percentage terms wilt be used as a control record for the stochastic model
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2. LNFILLED DATA PROCEDURE
2.1 Correlation Coefficients of the Observed Monthly Data Flow
Table 5 presents the correlation coefficients of the observed monthly data flow by stations It can be noted that the coefficient of correlation of Station 13 at Gilo is very low with the two stations in the tributary Beg Wuha, station 16, correlation of 0.1744 and Gecheb. Station 14, correlation of 0 5543. Even the coefficient of correlation of these two stations (14 and 16) is very low (0 4164) The data from these two stations will be treated with caution
The lev el of significance is low, with a probability less than 1.2 %, for most of the stations except for the stations 15 and 5 where the coefficient of correlation is 0.9011. With a probability of 28 5%, it is not possible to reject the hypothesis that the coefficient of correlation is nil. Similarly, for stations 13 and 16,where the probability is 47 5% The length of the record of station 16 is the shortest, and it seems that some inconsistency occurred in this station
These coefficients of correlation will provide the information for grouping the stations for infilling the missing data.
Table 6 presents the statistics of the Observed Monthly Data Flow
Table 6: Statistics of the Observed Monthly How by Station
169
For all the stations, the runoff is expressed in million
Gambela (02) and Itang (10) where the runoff is expressed in 10 x MCM^^ °'Cept for TAMS-ULC Urtcgnied DeYclopmfQt MMterTLTWATER RESOURCES
ANNEX IB HYDROLOGY
The fluctuations of the Observed Monthly Data Flow are high: the coefficient of variation (std/mean) is close to one.
2.2 Gambela Rainfall and Runoff Stations
Two long-term stations, 104 for rainfall and 102 for flow, are located at Gambela Unfortunately the records of these stations are not continuous and many data gaps occurred during the period of data collection, from 1906 to 1990 for the rainfall station and from
1906 to 1993 for the hydrometric station
During the period from 1906 to 1989, for the 2 stations, rainfall 104 and flow 102, the number of monthly data should have been 2,016 (89 years by 12 by 2) if no data are missing In fact only 1,802 records were observed (see Table 7) 89% of the total (86% of the monthly hydrometric data 102 is available and 93% of the monthly rainfall data 104 is available ) Unfortunately 9 foil years (1958-1966) of hydrometric data are missing
A graph of the annual time series of these two stations is presented in Figure 1 In order to be able to compare these two time series, the standardised time series of the two stations are considered The fluctuation of the annual precipitation is much higher than the annual
Figure 1: Standardised Series at Gambela
o
Standardized Time Series
v @ G am b ella
E 3 0 1------------------------------------------
YEAR
flow Very often hgh fluctuations of rainfall have not been identified in the hydrometric station Since the catchment is relatively small, there is not a big inertia of the response flow from the rain Indeed a plot of monthly flow versus monthly rainfall shows a very' iarge scatter of data, (see Figure 2) Rejecting some obvious outliers has slightly improved the scatter (see Figure 3).
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Figure I'
4000'-
□ 3000'
RjioWI »'G,n'b'1*
Rainfall @ Gambella
--------------------- r ^
-
I
2000'
u-
1000
I0
Monthly Rainfall (mm)
Figure 3:
Scattered long-term Flow vs. Rainfall at Gambela without Outliers
Flow vs Rainfall @ Gambella
£
40001
ri
Q
U-
1
u-
5
3000'
2000
1000
Monthly Rainfall R104 (mm)
A regression of the hydrometnc station 102 as a dependent, with the rainfall station IO4. infilled the missing data of the hydrometnc data, especially the 9 years of gaps A sum Lar regression of the rainfall station 104 as a dependent with the hydrometric station 10A infilled the missing data of the rainfall data The coefficient of the regression is 0.59. which IS low A regression of the flow with a time lag of one month for the rain was considered
see Figure 4). The coefficient of correlation is 0 73. which is a net improvement A new regression with 2 months lag on the rainfall was checked (see Figure 5). The coefficient of this regression is 0 36, so this regression does not improve on the previous one. Consequently the one month time lag is retained to infill the missing data [t is possible to conclude that the average time of response from the rain of the catchment at Gambela is about one month.
TAMS-ULG Biro-Akobo integrated Development Master Plan
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The data tables used in this analysis are presented in Appendix I
M onthly Rainfall
Monthly Rainfall (mm)
2.3 Patching Model
This program has been developed by Prof G G S Pegram (1985) from the University of
Natal (Republic of South Africa) who has briefly described its characteristics as follows
The method is used to infill missing data in records of rainfall and stream flow and to exten short records to match rhe lengths ot the longer ones in a climatic region.
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• The program uses a well-defined method of multiple linear regression in a stepwise fashion in combination with the EM algorithm. The gaps in a set of ten stations with record lengths of 80 years can be patched in an operation using the iterative calculation The records are deseasonalised and uncorrelated to enhance the regression between independent and normal residuals
• The EM algorithm is based on the idea of recursively substituting the regressed data for that which is missing and then re-estimate the regression The algorithm has been proven to maximise the conditional likelihood function and to converge monotonically.
Three main operations to use the Patch are:
• to pre-screen the standardised data to detect gross outliers.
• to patch the data by using the multiple linear regression and the EM algorithm
• to analyse the residuals in order to identify outliers that have large influence regression.
on the
The hydrometric station 102 at Gambela was considered from 1967 and was the basis for infilling the hydrometric stations S. 10 and 13 during 3 different iterations (2 and 5, 2 and 10, 2 and 13). The other groupings were for the stations I, 8 and 6, for the stations 14 and 3 and for the stations 15 and 16.
An example of the analysis of the output is presented in Appendix 2 for the grouping of the stations 1,8 and 6.
In order to check the quality of the infilled procedure the correlation of the observed monthly flow by station (See Table 5) which was the basis of grouping the stations, is compared with the total observed and infilled monthly flow correlation by stations, (see Table 8), Since the infilled procedure does not add new information, it is expected that the correlation between the observed and infilled flow is slightly higher than the correlation between the observed monthly flow by station, which is verified The level of significance in Table 8 is improved from Table 5 because of the increased length of the time senes. For all the stations this level of significance is nil, so the hypothesis that the coefficients of correlation are nil between all the stations can be rejected
The results of the Patch Data Model, Observed and Infilled Monthly Flow by Station are presented in Appendix 3.
The results of the Patch Data Model, Observed and Infilled Monthly Flow by Year are presented in Appendix 4.
The average monthly flows by station are presented in Table 9, and those of the yearly flows in Table 10. In order to assess the part of the infilled flow on the total vearly flow. Table 11 presents tor each year, the observed flow and the infilled flow The graphs of the yearly flow' by station will be presented latter in Appendix 7
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Table 9:
Average Monthly Flow by Station
• The mean of Sun on [tang r 10) A Crt&fceh (2) bi 10 Mcki
The maximum flow occurred generally in August-Sept ember and the minimum flow in February-March for all the stations The graphs of the monthly flow by station is presented in Appendix 7
The histogram of the observed and infilled time series of the monthly Bow is presented for all the stations in .Appendix 5
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INTEGRATION OF RAINFALL OVER THE CATCHMENTS
Rainfall gradients in the Highlands are often steep, and the rainfall monitoring network is too sparse to cover the topography adequately. Since the Thiessen Polygon Method gives a comparatively large weight to one rainfall station which can be biased due to the orographic effect or unreliable data, it is therefore not very suitable It is therefore proposed to use a method based on correlation weighting In summary this method involves:
(a) selecting a number of monthly rainfall stalions records on the basis of their proximity to the catchment under consideration.
(b) calculating the correlation of each rainfall record with the river flow record to be used for the calibration of the Extension Model (deterministic like Pitman Model or stochastic like Zucchini and Hlemstra Model )
(c) discarding rainfall records having low correlation with river flow.
(d) using remaining correlation as weight to establish weighted total rainfall sequence and convert this sequence to a monthly sequence of percentages of its annual value
(e) using the isohyet map to estimate by planimetry annual average catchment rainfall
Monthly catchment rainfall is then obtained by multiplying this annual value by the
sequence of percentage values
The above method is more general in that some stations which would have been excluded by the Thiessen polygon are included with this method Equally some stations that have a considerable influence with the Thiessen polygon are excluded by this method since the correlation of the rainfall with the flow record is very low.
Since the rainfall data record is very often too short, only few rainfall stations have been successfully used for the extension of the flow record
The results of the integration rainfall percentage over the different catchments are presented in Appendix 6.
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STOCHASTIC GENERATION MODEL
4.1 Zucchini Hiemstra Stochastic Model
The proposed model has been developed by Professors Zucchini and Hiemstra of the University ofCape Town (Republic of South Artica) The characteristics of this model are presented below
1 The seasonal cycle must be preserved in any extension
2 The annual serial correlation is assumed to be negligible. (The annual time series is supposed ta be fully randomised, which means no trend occurred. If a trend exists, it has to be eliminated before the extension.) This assumption is not tenable for shorter time series based for instance on a month time basis
3. Since the number of parameters of the seasonal data is very high, a method based of desegregation is considered Indeed for the monthly time series, the number of parameters is 12 means, 12 standard deviation and 12 yearly serial correlation which bring a total of 36 parameters
4 A certain number of statistical tests will check the fitness of the observed and simulated time scries before the extension
4.2 Results of the Stochastic Model
The results are presented in Appendix 7 For all the simulations a printout of a statistical analysis is presented as well as a certain number of graphs
The printout includes
• The control time senes as well the target If the control time series has
An extension * TNT, which means that the control time scries is the standardised rainfall over the catchment
An extension • PER, which means that the control time series is the standardised flow of a neighbouring hydrometric station.
• The monthly statistics of the simulated and observed rime series.
• The generated monthly flow
• The comparison by year of the generated and observed monthly flow
The critical period of analysis for the generated and observed time series function of the demand as a percentage of the Mean Annual Runoff.
TAMS-ULG Banj-Aknbo tntefcrateii Development Mister Plan
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. The
critical period of analysis for the generated and generated time series function
of the demand as a percentage of the Mean Annual Runoff.
•
Observed and simulated period and volume of the deficit Cow.
•
Comparison of statistical parameters of the observed and simulated time series
■
Listing of the observed and simulated flow duration
•
Listing of the observed and simulated auto-serial correlation
The graphs include:
• The observed and simulated yearly flow
• The observed and simulated average monthly flow
• The observed and simulated flow' duration curve
• The observed and simulated yield function of storage
Two simulations are presented for the extension of the hydrometric record at Itang One based on the control record of the standardised hydrometric 102 time series at Gambela and one based on the control record of the standardised rainfall 104 time series at Gambela The error of the mean based on the rainfall time series as a control is -3 .446% when the error based on the hydrometric station as a control is .216% All others statistical tests confirm the choice to consider the generation of Itang based on the control of the hydrometric station at Gambela. Due to some limitation of the format of the model, the flow record in Itang is presented in l/l0 ofMCM
Because of the very short record of the hydrometric station 16 at Beg Wuha, (see Table 5 of the observed coefficient of correlation of this station with the other stations) many simulations have been tried. None was very satisfactory It is proposed to consider the standardised generated time series 13 at Gilo as the control time series, even if the annual time series does not fit well
The output of the Stochastic Model for the extension of the monthly flow is presented in Appendix 8 for all the Hydrometric Stations
Table 12 presents the Mean .Annual Runoff, (MAR) as a function of the catchment area and elevation
Generally all the stations in the highlands have a specific discharge higher than rhe stations in the lowlands, except for Bitun (15) where, during the 6 years of data, only one observed data year occurred. Caution is required with this station. Some consistency can be noted between the Alwero and the Gilo where the Specific Discharge is low 197,93 mm and 297.33 respectively
A comparison of the MAR with rhe previous studies shows very clearlv that the Russian study tends to overestimate the MAR whilst the ARDCO-GEOSERV underestimates the MAR This is manly due to the fact that the Russian based their methodology on an emprneal formula assuming that the Specific Discharge is linear with the mean elevation of
TAMS-ULG BsroAkulx, Intend Developmcm Mailer Plan
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lhe catchment at the power of I 75 Indeed no such correlation (see Figure 6) seems to have occurred
Table 12: Comparison of Monthly Average Runoff
Name
Elevation
(m)
Catchment
Area (km’)
Mean Annual Runoff (MAR)
(MCM)
Russian
A RD C O-
GEOSERV
TAMS
Specific
Discharge
(mm)
I
Ketlo
13500
10060
6160
512.7
580.3
579 95
2
Bare
450 0
23461 0
12685 0
11640.3
11.952 6
509.47
3
Gumero
1750 0
106.0
51.18
72.7
685.85
5
Al were
833 8
2800 0
6300
519.4
554.2
197 93
6
Uka
650 0
53 0
38.7
37 1
700 00
8
Dembi
15500
144.0
98.0 I
78.8
547.22
9
Sor
1700.0
1648.0
1596.0
1699 4
1659 6
1007 04
10
liant;
425 0
246360
13173.0
11.983 0
12231,0
496.47
13
Gilo
4500
10137.0
3980.0
28267
3014 3
297.33
14
Gechcb
1300 0
79.0
600
759 49
IS
Bitun
11500
220 0
33 0
150 00
16
Beg
1150.0
125 0
104 7
837 60
17
Birbir
1500 0
1563.0
920 1
588 68
The coefficient of correlation is very low (R square *= 0.0887), The different stations are labelled by their number (Figure 6).
Scattered Specific Flow versus Elevation
Specific Flow Function of the Elevation
r • !A
1R
. ------------ fr------- -
i? *7
1 ¥ * . —
13
----- —
--------- •-----
15
•
V
Elevation (m)
TAMS-ULG Baro-Akobo Integrated Development Master PlanV MTR RFSCH RCFS
A5XEX HJ HYDROLOGY
Ftgnre ft: Scattered Log MAR ve. Log Catchment Area
M A R. Function of the Catchment AreaWATER RESOURCES
ANNEX IB HYDROLOQy
s TRANSFER FLOW SEQUENCES TO THE DAM SITES
The methodology proposed for transferring the observed monthly flows provided hydrometric stations to the dam sites considers a weighting factor for the observ ed monthly flow records of the hydrometric stations based on the ratio of catchment areas and corresponding rainfall In theory, a non-linear relationship between Mean .Annual Runoff MAR) and Mean Annual Precipitation (MAP) occurred Indeed MAR increases at a greater rate than MAP However the uncertainties of MAP estimates prev ent the estimation of the true relationship
For instance the computation of the Beko monthly flow sequences is based on the two upstream stations Beg Wulia (16) and Bitun (15). The following table presents the statistics of these 2 stations
MAR (MCM)
2
.Area (km )
.MAP (mm)
Bitun (15)
33 1
220.0
2120.0
Beg Wulia (16)
105.5
125.0
2040.0
Beko Dam Site
1815.0
1920 0
The Integrated MAP for the two observed flow catchment is 
(220*2120+125*2040)/(220+125) - 2091.0 mm
The weight factor for Beko Dam will then be
1815.0/(220+125)*1920/209l 0 = 4 83
Consequently the Mean Annual Runoff at Beko Dam will be
4 83 * (33.1 + 105.5)- 669 2 MCM
This methodology of the weighting factor is used for computation of the monthly flows at all the dam sites
The monthly flow sequences at the dam sites are presented in Appendix 9 for all the dam sites considered
The following table (Table 13) presents a summary of the simulation of Appendix 9 for ail the dam sites
As noted for the gauging stations the Mean .Annual Runoff estimated by the Russian study tends to be overestimated while the MAR. estimated by ARDCO-GEOSERV is underestimated
TAMS-ULG B*n>-AJtoj>o Integrated
IB-icWATER RESOURCES
ANNEX IB HYDROLOGY
Table 13: Comparison with Previous Studies of the .Menn Annual Runoff
Si umber
I
Name
Elevation Catch men
NRL (m)
Arei (km)
Rainfall (mm)
RUSSIAN
Runoff
(mJ A
ARPCO Runoff
(mJ/
TAMS
Runoff
(m3 A
TAMS
Runoff
(MCM)
1
Itang
431 6
24,420 0
1.410 0
413.0
3899
(12,296.0
2
Gam be la
5480
32.7400
1.660.0
390.0
371.6
11,7184
3
jBonga
573.6
(22490-0
1.680.0
386 0
368.6
11.625.1
FT AMS
760 0
20,970 0
1/710.0
376.0
353.0
lil.131.9
‘Abeba
454.5
2.790.0
r 1,270.0
200
17,7
556.9
6
Chun
5170
739.0
1.480 0
117
5.5
172.5
‘------------- ---------
7
Mey
504.9
353.0
1.550 0
1.2
2-7
86 3
8
Durnbong
5135
1,100.0
1.410 0
58
7.8
244 6
9
Gilo-1
606 8
7.573.0
1.360.0
115 0
74.1
2,337.6
10 j
Gilo-2
474.0
9.640.0
1.330.0
126 0
92.3
2.910 0
11 Gilo 3
460 0
■
9.820.0
1.305 0
125.0
92,2
2,908 6
12
Birbir
1,430.0
3.579.0
1.680.0
48.0
57.9
1,824.7
13
Gcba (R)
1,1150
6.222.0
1.670 0
132.0
143.2
4,515.1
14
Geba
2.170.0
1,086.0
2.320 0
32.0
35.9
1,132 4
15
Sese
1,848 5
367 0
2.060 0
7.1
7.4
234.7 “
16
Sor
1.538.0
1.777.0
2.120 0
53.5
53.5
53,7
1,693.2
17
Gumero
443 0
1.860 0
7.7
87
274 7
IX
Bare
1.720.0
1.620 0
2.160.0
43.0
499
1,572.7
19
3cko
1,128 0
1.815 0
1.920.0
34.5
21.2
669,2
20
<ashti
1,565 5
449 0
1.910,0
7.G
11.7
168 9
21 Saku
378.0
1.590.0
5.9
186 6
22 Biribir (R)
1,530 0
6.840 0
1.6100
110.0
106,0
3,342 0
TAMS-ULG B^Akobo Integrated Development Master pFw
IB- 17WATER RESOURCES
ANNEX IB HYDROLOGY
TABLES
Table 2 Number of Observed Monthly Flow Data during a Year
Table 3 Number of Observed Infilled Flow Data during a Year
Table 4: Number of Observed and Infilled Monthly Flow Data during a Year
Table 5: Correlation coefficient of the Observed Monthly Flow between
Table 7: Number of the Long Term Observed Mom hl y Data at Gambella
stations
Table 8: Correlation coefficient of the Observed and Infilled Flow between stations Table 10 Yearly Flow by Station
Table 11: Yearly Observed Flow & Infilled Flow by Station
TAMS-ULC
Mlrter P|anI
II
IS-.X3E?. OF OBffEaTCD MOTTHLY FITS 2A7* DURING *
—
casts ved
STATION
TOT
Valid
N
KET70 GANSEL GUMER& XLMOC
LA
xrrri SCR ZTAWC GILO GICHEa BITUN BEG aiaaiR
Valid. Valid Valid Valid valid valid Valid Valid valid Valid Valid Valid Valid JC N S N M nr K n JI N N N
Year
1517
i
194H 12
1559 12
|1570
11
tin 12
1972 12
157 J
1374
1974
1577
197f
1979
12
12
12
13 9
12 12
12 12
12
12
1HC 12 12 13 T
m: 12 12 11 12 10
11 12 12 12 11 12
19U — 12 12 7 12 12
1914 53 12 12 3 10 12
13»5 11 12 12 11 12 12
llll
11 12 12 12 12 11
1987 12 12 5
12 12
190 f 11
3 5 12 12
1969 13 12 13 12 12 5
12
12
12
9
13
12
12
to
10
•
12
9
2
Ifl
12
12
12
12 9
7
199Q 12 11 12
19»1 12
45
12 9
4 12
1992
IQ 13
IQ
12
i 1991 &
5•
It 5
,TUT 197 305 112 13d las 1J7
1
s
13
13
12
12
12
12
11 « 12 12
12 12
12 12
12 12
12 12
12 10
12 12
12 12
12
12
12
12
12
12
11
12
12
IQ
1
3.3 102
13
12
11
12
IL
11
9
12
10
13
19
&
lfi
24
24
24
24
24
24
31
3S
45
10 70
10 70
12 72
12 IS 12 155
0 115 12 111 12 107 12 127 12 11 fi 12 119 12 111 12 101
5
111
9 10
ill
-■
51
12 37
11
5 47 174 1530
Table 2: Number of Observ ed Monthly Flow Data during a Year.# 
«rrrtp
• rw
▼♦.;* *•. * V4S!
t
1 ‘
>
u
:
>
tk:
*<«
-MS
1
•
«
•>
u
»*
II
»
»» • 1
w
u4
»
’*** 5 11 i 9 4
11
(
U»t
»
it
»» • u 1
u It 19 u J
* 11 u
U
1;
p
n
31
U
It
1*,
41
It
t«n
i‘.«4
ittl
TT j
•tu
•
1
It
>u
;»
■•
U ft!
« 13
w uj
3 •3 u I
4|
a
l
U'
•
i: u
»
3
t
13
U1
’ t ••
**1
»» !• 33 t«
u • • Hl
’> i “ 1 M 1 3« 39 Ml
Table J: 5umber of Obacncd InfUkd Flow Dau during a Yearrrw •* xtoto iWtZ&flT r./
-'*** s=»lM * «
•r
•JVM t%
•-»
*r■’
« — K-?
9?_w M
j------ - 3
’fwiU
t
rwiiJ V&Lht
!»
vtUd v»LU
**
'rtlU
*
_________
•/* I 1 1 *W»4
<*
r-
'/liH
*• i i. 4
4*<4
t-----------
vw?
IK* Ls
[«■ L2
.Mi
1*
**
u
in 13
tr*3 13
Lfi L2
LVl
I*
fcr*t U
UM 13
u
13
u
13
U
u
11
13 14
11 u
u 13 n
!•**
U
u
u
u
u
u
» II U
U 13 u
u H 13
nw u i j u 13 u 13 13 W
imi u 14
u U If M U w
1
■■* .
?♦
;*
■’
j* j
M
4*
*■
fr#
U *3
iV *>
0
14 0*
14 i» .
u
U If u
u 11 ii
u il 13 13
’. •«-« u u u
13
13
11
»>
If
11
im u u w U u
1W u 19 u U i>
u
»*
11 u
u 13
It 13
14 it u If
W 13
IM * u IJ
If u
»■«« U u u n
u
kl
U
l>
U
l>
U
u Vi
13 13
L> 13
U 14
VI U
U
u
u
u
iJ
14
IM
VM
vi IM
14 w
-■J' bM
1* 13 *«
Ll«t U t j U
13
k»l >
I»1
,
1J vi U
14 u u
U 13
b> U
13
M
U
13
U
HU
Uu
>♦ 1J
u»3 u
i irt 1J
W
u
i)
UUU
uuuuu
U VX4
u 14*
u Lt4 r
13 ♦ -< '
«
13 U U u U 13 13 13 kJ u iiti
U 13 13 u n u
If
l,&fr ’
U* LM
i
!♦•
|fl« »«« J4 0 Mi
I** M
T>bk 4: Number „f Ob,.„„| afllf l„nUea Mo»lh|, F|ew
1I
Table 5 :
Correlation Coefficients of the ..(Continuation)
R01 R02 R03
Observed Monthly Flow between
R05 R06
R01
R02
R03
R05
R06 R08
( p=
86<
127
.00
•9l«
i
RIO
R13
1.0000
( 1571 P- .
.8950 ( 145)
p« .000
.8395 ( 107)
P= .000 .7707
( 83) ?= .000
.7232 ( 139) ?= .000
. 8640 ( 127) P= .000
.8356 ( 34) P= .000
.7987 ( 92)
P- .000
.5998 ( 93) P= .000
.5923 ( 52)
P- .000 .5926
( 57)
.8950 ( 145) ?- .000
1.0000 { 305) P» .
.9318 ( 105) P= .000
. 8988 ( 129) P= .000
.8682 ( 140) P= .000
.9169 ( 126) P- .000
.9669 ( 102) P= .000
.8020 ( 131) P= .000
. 6481 ( 90) P= .000
.7864 ( 47) P« .000
.6204
( 52)
.8395 ( 107) ?= .000
.9318 ( 105) P- .000
1.0000 ( 112) P= .
.8241 ( 60) P= .000
.8330 ( 106) P= .000
.8888 ( 95) P= .000
. 9800 ( 12) P= .000
.7785 ( 66)
P= .000 .5358
( 74) P- .000
.6145 ( 32) P= .000
.6235
( 39)
.7707 ( 83) P= .000
. 8988 ( 129) P= .000
.8241 ( 60) P= .000
1.0000 ( 130) P= .
.7266 ( 77) P= .000
.8015 ( 64) P= .000
.8720 ( 78) P= .000
.7774 ( 100)
P= .000 .6990
( 33) P= .000
.9011 ( 3) P= .285
.8301
( 15)
.7232 ( 139) P« .000
.8682 ( 140) P= .000
.8330 ( 106) P= .000
.7266 ( 77) P- .000
1.0000 ( 149) P- .
.7900 ( 124) P= .000
.7833 ( 30) P= .000
. 6822
( 88) P= .000
.5653
( 91) P= .000
.7251
( 52) P- .000
.6405
( 51)
< 12?
p= .00
• 88c 
( 95
P= .00
.801 ( 61
P= .00
.790 { 121
P= .00
1.000
( 137
P= .
.909
( 22
P= .001
. 852!
R14
R15
I
R16
P=
R17
.000
.8868
P= .000
P=
P=
.9341
.000
.8617
.000
.8025
P= .000
.8004
(
134)
( 162)
(
97)
(
113)
( 121)
P=
.000
P= .000
P=
.000
P=
.000
P= .000RIO
R13 R14
R15 R16
R17
.2356 { 34)
P= .000
.9669 t 102) P= .000
.9800 ( 12}
P= .000
.0720 ( 13; P= .000
.7833 ( 30}
P= .000
.9091 ( 221
P- .000
1.0000 ( 102}
P= .
.7444 ( 63)
P= .000
.7907 ( 92) P= .000
.5999 ( 93)
.000
.5923 ( 52) P= .000
.5926 ( 57) P» .000
(
P=
.8868 134)
.000
.8020 ( 131)
P= .000
.7795 ( 66)
?= .000
.7774 ( 100) P= .000
.6481 { 90)
?= .000 .5359
( 74) P= .000
. 6990 ( 33)
P= .000
.7064 { 47} P= .000
.6204 ( 52) P- .000
( r=
. 9341
162)
.000
.6145 ( 32) P= .000
.9011 1 3) P= .285
.6235 ( 39) P- .000
( ?=
.8617 97)
.000
.3301 ( 15) P- .000
{
P-
.8025
113)
.000
.6022 ( SB)
P= .000 .8529
( 93) P= .000
.7444 ( 68)
P» .000
.5653 { 91) P- .000
.6707 ( 95) P= .000
.7251 ( 52) P- .000
.6405 ( 51) P» .000
< (
p=
.3004 121)
.000
.0112 ( 52) ?= .000
. 6016 ( 50) P= .000
» {
p=
8528
113)
.000
( 0) p« .
( 0)
P= .
.7984 ( 14) P= .001
(
p-
9013
62}
.000
1.0000 ( 131) P- .
.5543 ( 50)
P= .000
• (
?= ■
( p-
7773
123)
.000
*
( C) P- .
( 0) ?= .
.5543 ( 50)
P- .000
.7984 ( 14)
?= .001
. 1744 ( 19) P= .475
1.0000 ( 102)
P- .
. 6104 ( 52)
P= .000
.6104 ( 52} P- .000
1.0000 ( 60}
P= .
.6710 ( 43) P= .000
( 0)
p- .
. 1744 ( 19)
P- .475
.4164 ( 36)
P= .012
.6710 ( 43)
P= .000 1.oooo
< 58) P= .
5249
79)
.000
( p=
6679
36)
.000
{ 0) p- .
. 9013 ( 62)
P= .000
.4164 ( 36}
P= .012
( p=
4990
50)
.000
.7773 ( 123)
P=* .000
-5249 ( 79)
P- .000
.6679 36)
P- .000
.4990 ( 50) P- .000
1-
(
p=.
0000
169)
•
Correlation Coefficients of the Observed Monthly Flow Coefficient / fCasas) / 7-tailed Siynijficaneej
" . " is printed if a coefficient cannot be contoured
between stationsNUMBER Or OBSERVED DATA DURING A YEAR AT GAMBELLA
OBSERVED
STATION
FLW RAIN
-
Valid N
Valid N
-
Year
I
1906
1907
1908
1909
1910
1911
1912
1913
1914
1915
1916
1917
1918
1919
192C
1921
1922
1923
1924
1925
1926
1927
1928
1929
1930
1931
1932
1933
1934
1935
1936
1937
1938
1939
1940
1941
1942
1943
1944
1945
1946
1947
1948
1949
1950
1951
1952
1953
1954
1955
1956
1957
1958
1959
11
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
11
12
12
6
12
5
8
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12 
12
12
12
12
12
11
12
11
6
12
9 
11
12 
12
12
12
12
12
12
12
12 
12
12
10
12
12
12
12 
12
12
12
12
12
12
12
12
12
12
12
12
12
12
5
12
5
8
12 
12
12
12 
12
12
12
12
12
12
12
12
12
12
12
12
12
12
20
23
24
24
24
24
24
24
24 24 24 24 24 22
24 
24 
24
24 
24
24
23
24
24
18
24
17 
20
24
24 
24 
24
24
17
24 
17
20
24
24
24
24
24
24 24
24
24 24 24
23
24
23
10
24 
12
12NUMBER OF OBSERVED DATA DURING A YEAR AT GAMBELLA
OBSERVED
STAT
ION
TOT
Valid N
FLW
Valid N
RAIN
V
1960
1961
1962
1963
1964
1965
1966
1967
I960
1969
1970
1971
1972
1973
1974
1975
1976
1977 
1970
1979
1980
1981
1902
1983
1984
1995
1986
1987
1988
1989
TOT
8 
12
12
12
12
12 
12 
12
12 
12 
12 
12
12
12 
12
12
12 
12 
12 
12
12 
11
12
068
alid N
12
12
12
12 
12
12 
12
2
12 
12 
12
12 
12 
12
12
12
8
12
12 
12
12
12
10
6 
10 
12 
12
ID
934
12
12
12
12
12
12
12
10
12
24
24
24
24
24
24
24
24
20
24
24
24
24
24
22
18
22
24
24
21
12 1802
Table 7:
Number of the Long Term Observed Mo
nthly
 Data at GambellaShwn
R07
RC1 1
ROf *05
P- 003
0677
-1M
Pm OOP
]
IM
iM
P« 000
0 0049
■324
3 6679
IM
P» ooo
06315 0 6035
-64
P- 000
-204
P- .000
05421
144
P».000
I
0.7567 | Q
i -168
P- 000
ROJ C6423
■144
P- ooo
RO 5 I 08091
■ 144______-_2_16 j_____ :166
p« 000 P- .000 1
I P - 000 P= 000
OW
-144
i P* 000
1
0
0 6517 0 8553 I 0 0891 0.9246 1_ 0 6376 j
144
>144
• 144
144
.144
P- ooo P» 000 P» ooo
P= OOO P« ooo
0 809*
•144
1 P-000
Ps OOO P«- ooo
0 676 0 7464
144
'
0 7719
-216
P- .OOO pg .000
1
0
P- , P= OK
I
16ft 0
07909 0 6417 0 6585
-144
.IM
■ 164 >2t6
0 9057
-216
0 8453
-204
1
-144
P. OOC P- OOC P- 000 P= -OOQ
I
-144
0 6242
■168
P« OOO
IM
P» 000 p- OOC p- 000
I
I 0 5546 0 7434 0 6257
-144
P> ooo
0 7633
166
P- ooo
IM
P- 030 P-000
■1M
■144
IM
-166
-168
P- 000
-*M
P- 000
06652
.144
P- OOC P= ooo P- OOO P= 000
Pm OOO P-000
P- 000 P- ooc
0.7265 0 6266
P= 000 p- 000
IM
P» DOO
-324 -144 ■216
P- .000 P> 000 P- .000
OH 79 1 0 6276
-1M -240
P- DOC
-144
1M -240 0
0 6229 0 6676
-144
I P- 000____ P- ooo p^ ooo
I 06455 0 7567 0.66U
•144
D9016 | 0 7851
168
P= ooo
-240 -204
p- ooo
0 8091 0M$3 0 7472
-144 -204
’M 204
P- ooo
0 4315
-144
P^ 000J p-000
p= 000
1
P« OOO
1
P-
p« ooo p- ooo P= .QQQ
-144
P= OOO P= 000________ P ■ OOP
0.6421 0.870 0.66570 5546
-144 144
0.6455 ! 0 647
0 5576
144
0.1652
-144
0 6229
-144
-144
P- 000 P- .000
-144
1
0
P- OOP P- ooo P- 000 P- ooo P» OOC
Pm 000 p-000
P= ODO
I P= .000
I_____
I 0.5505
P- 000 P- OOP P, ooo
0.625
0 7265 o 75607 606774664 0 7719 0.7434
P= 000 P-.000
07432
pw ooo
0 6257 |
0.6266 0619
0 6512 0 6876
0.5576
0 7432
DOO
P* OOO
P- ooo
P* DOO p» oo
o
p- ooo
p- ooo
p= 000
P-000
P» ooo
R17______ 0.8632
06274
01
0.6707
C 7241
__________ -156
-192
0 6005
-192
156
-156
I P» DOO
I
•1t2
-132
•72
P- 000 P- .000
P- 000
i
P- 000
P- ooo
P- OOO
T^6/e a .* CQCTtotfon Co^fficientj of Otue/vod and Infilled Monthly Ffa ~
Table 8: Correlation coefficient of the Observed and Infilled Flow between
13XW
Y«ar
1967
1968
1959
;r?o
1911
irra
1973
1974
1975
in<
1977
L97i
1979
198Q
8
1251 5
1X33.0
7«7 GO
1321 a
1126 a
917.co
1115.0
1254,oi
I2l2.fi
1133.fi
1211 0
1173.fi
. 1069.0
593.3C. 1220.0
4
■
*1 :l
1911 558.00 1070.3
1912 42102 1051. 0
1983 441.30 1139.0
1984 4T9.&C 1X19.3
fil -00
577.DC,
526 00
424 00
477.OC
922.00
540-00
444.OC
81.00
79.20
92.00
1564.C
1319.0
1172,0
1990.D
2155.0
1511.0
LB46.0
3423.0
1547.0
1524.0
1492,0
1920.5
1174 Q
1737.0
1419.0
127| $
T
8
T
*
’|
1417,3
125* :
1242.0
1220.0
UB2.fi
1043.0
Uli.a
906.00
1107.0
•I
3149.0
4427 0
3132.3
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Table 10; Table of the Yearly Flow by Stationf<DL£HVTH ANI> IHPILU-U ANNUAL
FIJCM
liTKTIOW
■
---------
4LTTO
CAMILLA
ano
FLO
arcinrn
FLG
l»l T’JW
wn
412 1
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rui
0
1
0
1
FLO
a1
0
1
•
3
0
X
0
1
•
1741
me
1369
1770
1971
1372
1»71
1171 ' 4
1775 *
1976
1977 4 1374 * 1973 . 1740 5 90
•
•
♦
4
*
»
f
<6
■5
1011
uei
1947 1 674
193J 443
1114 479 1945 442 1116 571 1347 437 1933 530 1939 513
1930 476
1931 539
1992 761
199 3
S$ *
1149 U
I1H
747
1123
1124
33?
1 H4
1254
1212
1131
1231
073
1069
1220
1070
1056
1139
1139
1205
494
1221
1226 352 1217 • 1375 11
405 340
1416
557 ISO
1 105
1343
4627
3112
176 7
2313
274 3
1156
3659
2136
2074
2317
1091
111
•
-
1 IS
1675
15
21
97
67
70
4
50
47
35
53
6
-
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2
72
61
19
(6
25
14
»
42
35
30
3
17
31
4
2
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201
93
353
2004
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3112
1405
1234
2391
,
1
3
51
49
139
74
117
32
24
•
•
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14
14
17
70
106
1016
9 95
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1119
1124
1*3
7n
672
all
511
360
1002
361
726
1102
*
913
78
1031
230
s
Table
Tabic of the Yearly Observed Flow A Infilled Mow by Sen lionWATER RESOURCES
APPENDICES
Appendix 1: Rainfall & Runoff Long-Term Data at Gambela
ANNEX IB HYDROLOGY
Appendix 2. Example of the Output .Analysis from the Patch Program (Station 1.8 &. f>) Appendix 3 Monthly Observed and Infilled Flow by Station
Appendix 4 Monthly Observed and Infilled Flow by Year
Appendix 5 Standardised Time Series
Appendix 6 Histogram of the Monthly Flow by Station
Appendix 7 Results of the Stochastic Model
Appendix 8 Generated Monthly Time Series Flows at the Hydrometnc Stations Appendix 9 Generated Monthly Time Series Flows at the Dam Sites
TAMS-ULG B^AkobuWATER RESOURCES
ANNEX IB HYDROLOGY
APPENDIX I:
RAINFALL A RUNOFF LONG-TERM DATA AT
GAMBELA.
IAMS-CLC Baru-Akobo Integrated Development M ter Plan
ai
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APPENDIX 2: EXAMPLE OF THE OUTPUT ANALYSIS FROM THE PATCH PROGRAM. (STATION 1,8 & 6)
TAMS-ULG B»n>Akoba Integrated Development MajrtrPhn
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ANNEX IB HYDROLOGY
APPENDIX 4: MONTHLY OBSERVED AND INFILLED FLOW BY YEAR
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APPENDIX 5:
STANDARDISED TIME SERIES
Tables
Table 86-1; Monthly Flow Data at Gambella (102)
Table B6-2 Monthly Rainfall Data at Gambella (104}
Table B6-3 onthly Flow Data at Gillo (13)
Table B6-4 Monthly Flow Data at Bitun (15)
Table B6-5 Monthly Flow Data at Beg Wuha (16)
Table B6-6 Monthly Rainfall Catchment Data at Ketto Chanka (1) Table B6-7: Monthly Rainfall Catchment Data at Gore (3) Table B6-8: Monthly Rainfall Catchment Data at Uka (6) Table B6-9: Monthly Rainfall Catchment Data at Bibir (17)
TAMS-ULG Biro-Akobo Integrated Development Muter Plan
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s
B6-4
2 H15. PEN 5-1Q-96 B:34»
P*®e 1 of 1
i-8VAI ION 10 1CFI GtHU-i; AMO outlaw |H ngm
HMAO-.ltA TtAM SVMTIve 9CT0M1
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1*04 nt MI Ml 1901 1911 All IHl 1101 1921 •21 711 «*l IO« 1 1*0*
i*t 111 in Ml 111 241 2*1 >•1 mi 101 Ml 111 41.0 1*00 Ml 4>| •it 1941 1121 mi IHI 1191 1391 43! HI 4*1 IM O
IH«
1*1 111 111 151 191 *41 r*i Mr 7*r >■1 301 HI
It.9
10*0 44* 4*1 <11 1041 kill 7001 u<t mi ini 431 903 477 119.1
mi
i*U
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*41 311 741 !■• Ml STI ••I •41 *OI 4*1 •31 *11 4* t
1072 311 431 *11 *11 ill! IMI IMt 1411 ion 1011 ■Ol All
IM.•
14*4 131 Ml 101 1411 1531 • 11 IMI 1431 1991 Ml *31 4O< 104.7
1*10 4*1 311 3*4 301 341 9*1 431 441 *or 4*1 *ii *11 4*.O
1*11 911 411 *71 nt 1211 1041 imi MH 192! 10*1 Ml 431 110.4
irp» All 411 >•1 501 • *l let •21 04! Ml •VI ini Ml
■43
14*5 33! 1*1 Ml mi 1511 •or 1141 IMI 1911 •n Ml ••I
103.7
M7O 411 •It 1*1 hi ♦•1 XII •JI <131 •SI Mt Ull •*r M 4
till 121 1*1 lot 1914 1991 All ii*i Uli 113* Ml Ml Ml
M*» 111 IM HI mi 1111 431 HOI Ull 1991 •41 T7I
IM.3
104 *
1*11 Ul 1*1 MI 1001 1911 •01 1141 11*1 1*1! •II *01 301 101 »
1 WO Ml • Ol Ml **i tilt 14*1 un 1921 1431 IMI Ml •XI U* 1
»*l« 411 <31 Ml 311 •*l *14 oil •41 •31 ♦CI 111! Ml
•O •
1**4 991 101 Ml <41 431 •Of ■31 701 Ml NT ll»l Mi I4M 321 Ml *or IOOI 1511 • If Ikfl IM! 1431 • It *11 3*1
M•
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1*11 111 1*1 301 1*11 IMt Oil 1101 mi 1131 HI 711 •Ol IM.9
i«t« 991 4*| *01 Ml 1131 1**1 mi 1311 ion 114! 041 4*1 110.1
IMt 951 101 391 <41 412 Mil •1* *41 Ml Ml im Ml M 4
IHJ 941 1*1 Ml 431 •11 <*r ■ Il *31 ■71 ♦ ■* mi •41 7W.1
Mil
331 Ml Ml 491 All •01 Oil *01 •51 our 110! •01 00 4
(Ml 491 41Z 401 511 •01 *01 Ml 041
Oil U9I tool
mio 111 1*1 101 1301 1911 Oil n*i UOI 1921 • 31 713 9*1 IM -0
IM4
• •I 431 Ml 911 4*1 *91 Ml 041 HI • Il 1X91 1M|
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Hl* Ml 301 nr 441 411 •or on *41 041 oot 1103 Ml
1*10 141 3*1 104 411 •it •41 ■13 *11 01! *•* 1VM Ml
1*11 All 414 401 ill 4*1 *B* ♦41 Oil •or • 11 1*11 IOOI 1*11 44| 414 •01 III 4*2 *01 MX Ml Ml Oil 1391 IOOI
00.4
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•I5
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IMO 14! nr *11 3*1 1*1 ••* OH ••r 341 •It »0* 571 91 .7 IM* 410 ♦!• 1*0 90 4* 74 •X ■4 ■ 4 no 112 M 04.1
IMO 144 104 44 114 HO *1 144 113 133 104 M n
IM.9
1*1 J 111 111 104 14*1 mi Ml mi 1101 13*1 • Il 004 37| 103.1
l*M 2* 1* 2* 34 A* 0* IH 104 111 LOO • 10 A40 M •
1*14 341 nt 414 Ml i*i 44| 931 4*1 *41 Oil »o* 9*1
•l.X
l*M Ul i*r Ml 1911 I9TT All 11*1 ■ 111 1931 on 711 941 109.1
nw 44 40 10 *» 17* Ml 1*0 l<» 14Q Ul M 44
mi 11 |9 !• 151 191 410 I1*« Ul 151 03 71 1*
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ill.*
1*0 4*1 441 • If IMI 17V! IMI Ull mi 1122 • 01 •M 441 110.0
11*1
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«tr 4*1 OU >•! Oil *•1 IMI 042
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ion «u <01 *11 *34 lira 1041 1131 K1I 1*31 imi ■11 • 41 Ul .5
mi IO 23 M •1 IM 444 I3M 1440 1140 21X0 ■40 440 110.4 ml 430 •30 410 *04 1230 IO*« IIM 1 IM 1140 SM *10 4M H3.0
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MOM M IM W M M M »• •• w W ■■ no
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nil
9*1 4»f 00J • If ■ 3*1 1041 14*1 1301 14*1 IMI Ml *01 134.1
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•0 *
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wun IN iimim er I or anwuai
AVS4AC1 4AIMFALL
l*M 441 <11 431 IMt 1311 mr 1141 IMI 1191 411 Ml 4*1
1*30 Oil 441 1*1 301 4*1 >04 »n Ml •II Mt lilt Ml
II*.0
■ 4, 1
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1*30 m 411 ftl *31 1X31 1041 IM! 1411 1911 10X3 BOI 431 120.4
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10*1
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1931
1431
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1252
1001
01.9
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IMO
111
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211
Ml
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441
931
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793
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1911
1931
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kill
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Ml
103 1
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Ml
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1041
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1331
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121.3
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mi Ml 341 Ul 411 •at 441 *01 Ml Mt *•1 1021 •31 *9 1 1 IMl Ml 401 021 931 1401 30*1 13*1 IMI IT31 mi • Il *U 134 *
1 IMO 1*1 141 >•1 331 4*1 Mt 10*1 mt 1343 IMI 0*1 • I 1 •4.3
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Ml 11AI UH 1141 1131 ■IX 041 1 10.4
uu Ml All Ml <11 w 7V1 Ml VII m 431
MM 'Mil IMI Ml 'Ul MM 111 IA4I Illi MH IMI Ml 111
1M1 Ul Ml Ml MU MM MH Ml* M*» MM Ml •*! Ml 410.1
n*1 *013
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MM MM Mil • •••
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mi 11 ■1 MJ L4D Pl 120 IP 111 It. J 57 41 N LL1.4
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1*44
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1144 54 3? 13 14 PI Pr> P4 HI LM HO 47 M 150.1
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1**7 E> a 3fl XS l»* iJf JOJ 147 1KI H 7 M IM 4
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Table B6-6
Table B6-7
B6-6
MIB.1NT 5-16-96 10;J2a
B6-7
?W 1 of 2renin.! *ji off va.um uvrl/i»
•"■IKltBlCM. T(A»j 01M1IM jMMft
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It nt j a* •1 •* m Jt 10 H
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IBI.I
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314 1*7 JI* It* in It
Ilf k»a IH 1*1 T4 13
HIP 3 n 11 *3 23 IM 414 1« 130 44 *fl « 101 3
111* 13 ♦
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mi U 71 11 • J ♦J 423 IH HT IM 14 n tl
ir>» h M 1 11 l» I* ■ fl HI ITO *• 70 1*
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101.4
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Toble B6
-9WATER RESOURCES
APPENDIX 6:
annex IB hydrology HISTOGRAM OF THE MONTHLY FLOW BY STATION
TAMS-ULG Baro-Akobo integrated Development Master Plan
IB - Appcnd/x6Histogram Ketto 1
R01 MCM
Histogram Gambella 2
100-
80’
60<
40 ■
Std, Dev = 97.49 Mean - 100.1 N = 324.00
0
R02 in MCM/10
Histogram Gumero 3
R03 MCMHistogram Alwero-Abobo 5
R05 MCM
Histogram Uka 6
S(d, Dev = 14.38 Mean = 8.4
N = 168.00
R06 MCM
. Histogram Metti 8
*08 MCMHistogram Itang 10
RIO MCM/10
Histogram Gilo 13
R13 MCM
Histogram Gercheb 14
R14 MCMuistogram Bitun 15
S(d. Dev = 1.45 Mean - 2.3
N = 84.00
R I 5 MCM
Histogram Beg 16
20 ------------- -----------------------------------------
R16 MCM
Birbir 17
Std. Dev = 66.70
Mean = 77.7 
N «= 1 92.00
Rl 7Iwater
jjESOVRCES
ANNEX IB HYDROLOGY
^ppfDJX 7: RESIILTS OF THE STOCHASTIC MODEL
APPENDIX B7-1 : Hydrometric Station Chanka at Ketto (1) APPENDIX B7-2 : Hydrometric Station Gore at Gumero (3) APPENDIX B7-3 : Hydrometric Station Alwero at Abobo (5)
APPENDIX B7-4 : Hydrometric Station L'ka at Uka (6)
appendix B7-5 : Hydrometric Station Dembi Dollo (8)
appendix B7-6 : Hydrometric Station Sor at Mettu (9)
APPENDIX B7-7 : Hydrometric Station Baro at Itang (10) APPENDIX B7-8 : Hydrometric Station Gilo at Pugnido (B) APPENDIX B7-9 : Hydrometric Station Mizan Teferi Gacheb(14) APPENDIX B7-10 : Hydrometric Station Biten Wuha Tepi (15) APPENDIX B7-11: Hydrometric Station Beg Wuha Tepi (16) (1st Sim) APPENDIX B7-12 : Hydrometric Station Beg Wuha Tepi (16)(2nd Sim) APPENDIX B7-11 : Hydrometric Station Birbir Yubdo (17)
TAMS-LLG Baro-Akofco Uncled Do<'oP“en‘ ***" IB-Aniwndis 7hydrology
Annex 1-B
APPENDIX B7-1
Hydrometric Station Chanka at Ketto (1)
Table of the output:
. Monthly Statistics
. Generated Monthly Flows
• Generated and Observed Monthly Flows
. critical Period Analysis
• Demand as Percent of Generated Mean Annual Runoff
■ Statistical Evaluation
• Comparison of Simulated and Observed Parameters of the Runoff
• Seasonal Distribution of Runoff ( Express as percent of the Mean Annual Runoff)
• Seasonal Standard Deviation
• Statistical Measures of Corresepondcnce
• Listing of the Flow Duration Curves ( Observed and Simulated)
• Listing of the Auto Serial Correlation (Observed and Simulated)
Figures of the output:
• Yearly Observed and Simulated Runoff
• Monthly Average Observed and Simulated Runoff
Flow Duration Curve of the Observed and Simulated Runoff
• Observed and Simulated Yield ( Demand function of the Storage at 100% reliability)•fl 41 wvir IMl M 4 ■*bb Ulf
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Annex 1-B
B7-2
Hydrometric Station Gore at Gumero (3)
Table of the output:
, Monthly Statistics
, Generated Monthly Flows
• Generated and Observed Monthly Flows
« Critical Period Analysis
• Demand as Percent of Generated Mean .Annual Runoff
• Statistical Evaluation
. Comparison of Simulated and Observed Parameters of the Runoff
: “SXST'Expras -
• Statistical Measures of CorTesepondence
• Listing of the Flow Duration Curves ( Observed and Simulated)
• Listing of the Auto Serial Correlation ( Observed and Simulated)
Figures of the output:
• Yearly Observed and Simulated Runoff
• Monthly Average Observed and Simulated Runoff
• Flow Duration Curve of the Observed and Simulated Runoff
• Observed and Simulated Yield ( Demand function of the Storage at 100% reliability)
R »om
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Annex 1-B
Table of the outPut:
, Monthly Statistics
. Generated Monthly Flows
. Generated and Observed Monthly Flows
• Critical Period Analysis
• Demand as Percent of Generated Mean -Annual Runoff
. Statistical Evaluation
« Comparison of Simulated and Observed Parameters of the Runoff
« Seasonal Distribution of Runoff ( Express as percent of the iMean Annual Runoff)
< Seasonal Standard Deviation
• Statistical Measures of Corresepondence
• Listing of the Flow Duration Curves (Observed and Simulated)
• Listing of the Auto Serial Correlation ( Observed and Simulated)
figures of the output :
• Yearly Observed and Simulated Runoff
• Monthly Average Observed and Simulated Runoff
• Flow Duration Curve of the Observed and Simulated Runoff
Observed and Simulated Yield ( Demand function of the Storage at 100% reliability)
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APPENDIX B7~4
Hydrometric Uka Uka ( 6)
Table of the output:
, Monthly Statistics
. Generated Monthly Flows
• Generated and Observed Monthly Flows
• Critical Period Analysis
• Demand as Percent of Generated Mean Annual Runoff
■ Statistical Evaluation
Annex 1-B
• Comparison of Simulated and Observed Parameters of the Runoff
. Seasonal Distribution of Runoff ( Express as percent of the Mean .Annual Runoff!
• Seasonal Standard Deviation
• Statistical Measures of Corresepondence
• Listing of the Flow Duration Curves ( Observed and Simulated)
• Listing of the Auto Serial Correlation ( Observed and Simulated)
Figures of the output:
■ Yearly Observed and Simulated Runoff
• Monthly Average Observed and Simulated Runoff
• Flow Duration Curve of the Observed and Simulated Runoff
• Observed and Simulated Yield ( Demand function of the Storage at 100% reliability)
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• Generated and Observed Monthly Flows
• Cntkal Period Analysis
. Demand as Percent of Generated Mean Annual Runoff
• Statistical Evaluation
. Comparison of Simulated and Observed Parameters of the Runoff
. Seasonal Distribution of Runoff ( Express as percent of the Mean Annual Runoff.
• SmsomI Standard Deviation
• Measures of t <irresepondence
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I istmu of the Auto Serial Correlwtion I Observed tnd simulated)
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tlOO 8.00 12.00 16.00 20.00
MONTHLY MEAN RUNOFF^
STATION 6 DEMBI O0LLO 0 METT I
MONTHLY RUN OFF VOLUME (MMAR) Graph 1 y Observed Graph 2 * Generated
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MONTH
Graph 1 > flbeerued
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Annex 1-B
^ENPIX
B7 6
-
^.metric Station Sor nt Mett. ( 9)
To bi< of the output;
. Monthly Statistics
, Generated Monthly Flows
. Generated and Observed Monthly Flows
• Critical Period Analysis
, Demand as Percent of Generated Mean Annual Runoff
• Statistical Evaluation
• Comparison of Simulated and Observed Parameters of the Runoff
• Seasonal Distribution of Runoff ( Express as percent of the Mean Annual Runoff)
• Seasonal Standard Deviation
• Statistical Measures of Correscpondence
• Listing of the Flow Duration Curves ( Observed and Simulated)
• Listing of the Auto Serial Correlation ( Observed and Simulated)
figures of the output: I
Yearly Observed and Simulated Runoff
• Monthly Average Observed and Simulated Runoff
Flow Duration Curve of the Observed and Simulated Runoff
Observ ed and Simulated Yield ( Demand function of the Storage at 100% reliability)I
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15.00
om-n i-ukic.
j cr. uuAnnex 1-B
}n
DKOL<>CV
B7-7
Hydrometric Station Itang Baro ( 10 )
Table oftl,e output:
. Monthly Statistics
. Generated Monthly Flows
. Generated and Observed Monthly Flows
. Critical Period Analysis
• Demand as Percent of Generated Mean Annual Runoff
. Statistical Evaluation
» Comparison of Simulated and Observed Parameters of the Runoff
. Seasonal Distribution of Runoff ( Express as percent of the Mean Annual Runoff)
• Seasonal Standard Deviation
• Statistical Measures of Corresepondence
• Listing of the Flow Duration Curves ( Observed and Simulated)
• Listing of the Auto Serial Correlation ( Observed and Simulated)
Figures of the output:
• Yearly Observed and Simulated Runoff
t Average Observed and Simulated Runoff
• Oh^Ura^on Curve of the Observ ed and Simulated Runoff
served and Simulated Yield ( Demand function of the Storage at 100% reliability)
^kobo Integrated Development Master Plan1 — •
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H drometric Staton Pugnido Gilo (13 )
Table of the output :
. Monthly Statistics
. Generated Monthly Flows
• Generated and Observed Monthly Flows
• Critical Period Analysis
» Demand as Percent of Generated Mean Annual Runoff
• Statistical Evaluation
• Comparison of Simulated and Observed Parameters of the Runoff
. Seasonal Distribution of Runoff ( Express as percent of the Mean Annual Runoff)
• Seasonal Standard Deviation 
'
• Statistical Measures of Corresepondence
• Listing of the Flow Duration Curves ( Observed and Simulated!
• Listing of the Auto Serial Correlation ( Observed and Simulated)
figwrer of the output:
• Yearly Observed and Simulated Runoff
• Monthly Average Observed and Simulated Runoff
• Flow Duration Curve of the Observed and Simulated Runoff
• Observed and Simulated Yield ( Demand function of the Storage at 100% reliability )
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iAnnex 1-B
-
aPFEndW
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-
Station Mizan Teferi Gacheb (14)
gydrometric
ftble of the output:
♦
V
Monthly Statistics
Generated Monthly Flows
Generated and Observed Monthly Flows
Critical Period Analysis
Demand as Percent of Generated Mean Annual Runoff
Statistical Evaluation
Comparison of Simulated and Observed Parameters of the Runoff
s (ExprcM -
Statistical Measures of Corresepondence
Listing of the Flow Duration Curves ( Observed and Simulated ! Listing of the Auto Serial Correlation ( Observed and Simulated)
fijura of the output:
• Yearly Observed and Simulated Runoff
Monthly Average Observed and Simulated Runoff
• Flow Duration Curv e of the Observed and Simulated Runoff
Observed and Simulated Yield ( Demand function of the Storage at 100% reliability)
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S5Z14.PRN 5-10 96 0:11a
Papa 5 af 5MCMper Month
50.00 60.00 70.00 80.00 90.00
Yearly Flow Curves
STATION m MIZAN TEFERI 0 GACHEB
MONTHLY RUN OFF VOLUME Graph 1 > Observed Graph 2 > Generated I
1'IH 7. on T..~.
i jhu. onHERNRUNOFF(O
0.00 U.OO 8.00
12.00 16.00 2qiQ0
I
I
1.00416.00 211.00 32.00 40.00 
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72.00
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_
Generated and Observed Monthly Flows
, Critical Period Analysis
, Demand as Percent of Generated Mean Annual Runoff
, Statistical Evaluation
, Comparison of Simulated and Observed Parameters of the Runoff
. Seasonal Distribution of Runoff ( Express as percent of the Mean .Annual Runoff)
■ Seasonal Standard Deviation
• Statistical Measures of Corresepondence
• Listing of the Flow Duration Curves ( Observ ed and Simulated)
• Listing of the Auto Serial Correlation ( Observed and Simulated)
Figures of the output :
• V early Observ ed and Simulated Runoff
• F|OriI^rv Avera6 Observed and Simulated Runoff
c
now Duration Curv e of the Observed and Simulated Runoff
----- ■ -W 
L V WM. LUIU ULIUUIUIWU IKU-UU BI
served and Simulated Yield ( Demand function of the Storage at 100% reliability)F
-
i
ii/••I215.PRM 5-10-9* Ba»bI
◄___________
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£8 5COAFMlSftM OF SIMULATED **O OlSERUEO RUNOFF
LISTING OF THE FLOU DURAllON CURVES
OBSERVED
RUNOFF
5THULATI0
OUNOFF
PRCCNT.
ERROR
MONTHLY DISCHARGE LEVEL
PERCENT TIHE EQUALLED OR EICEEDCD OBSERVED SIHULATCO
error
TO!AL RUNOFF
MAM ANNUAL RUNOFF
ANNUAL STANOMD DEVIATION
AVERAGE HONK* RUNOFF
230 900
12 9H
4.103
2.740
UM 1 AMCC OF rONTM.9 VALUES 1 909
Hi 302
31.041
2.472
2.754
I 099
RANGE Of RESIDUAL HASS CMVE
MAN OF RESIDUAL HASS CURVE
14.M7 12 379
0 174
0.174
•35 80S
0.174
0 700
-25.371
50.350
•4 IM
•7.143
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100.000
too. 000
100.000
100.000
IM) OCO 100.000
-2.035
I MOE I OF SEASONAL VARIABILITY 10 540
ntAN 0EF1CICNT FLOW Pf RlOOlHONTHU
run HUH DEFICIENT FLOW PER 100 <W! ws»
SEASONAL DISTRIBUTION OF RUMOFr Itimsiti *$ PERCH* or rt.A.R.i.
* 000
-4 409
17.724
5.571
90.010
94.429
91 447
100 DOO
97.419
95.231
■7
05 714 ■9.204
HONTM 1 2 3 4 5 4
f 0 9 10 II 12
OOSERvIO 5 33 9 10 1045 12 30 11.17 12 43 11.45 0 49 5.09 4.37 2.04 3.90
51HU.4TL0 5.74 10.10 12.41 12.44 V 50 11 94 11.92 ■ 41 5.04 4 49 1.01 3.73
SEASONAL 5! AN0AR9 » IVIAT10W5
»
HONTN 1 2 3 4 5 4 7 0 9 10 It 12
OBSERVED 0.73 1.19 1.42 0.44 1.34 1.02 1 14 0.14 0.10 0 is 0.50 0.41 51HULAIEQ 0 40 1.00 1.59 0 72 1.41 1.19 I 05 0 27 0 04 0.24 OU 0.19 STATISTICAL MEASURES OF CORRCffONOtNCT
SIHULATIO RUNOFF IS MFfNOEWf VARIABLE
CORRELATION COEFFICIENT
51 UM NT 5 T VALUE
• REGRESSION COEFFICIENT
SAW COWltMl OF RtOMSnOR EOuAllON
REGRESSION SUH OF SQUARES
RES!DUAL SUH OT SQUARES
1 TOTAL SUH OF SQUARES
1 STANDARD ERROR OF 1ST IRATE
| HAtlHUH EQUIVALENT CONSTANT IRRMlll
| RELATIVE ARSOLUII IMMItl 10 911
COftFIClLNT QF OfTSNHINA!ION
1 stahomr coefficient of tmciuci
1 M M BUM HASS CURVE CDCMK1UH j trtClAL (CRFFICIENT CT IFFICIlMCT
I t« FT IL It Ml Q* tCNtlSTCNCt
' MtMlW FXM MHIIUMnV
0 414
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0 411
1 054
40.519
90.901
150.519
1.099
41.400
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0 779
0 053
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1 411
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0.201
0.407
0.410
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1.017
i.no
1.421
1.427
1.030
2.033
1.237
2.440
1 443
2.047
1 050
3 253
3.457
1.440
3 043
4.047
4.270
4.471
4.472
4 >00
5.OC1
5.207
0.490
5.491
5.097
4.100
77 Ml
75.000
71.429
40.714
50.333
53.571
40.010
41.447
35.714
12-143
30.952
20.571
25.000
14.447
14.204
13.095
9.524
• . 311
2.143
7 141
4.742
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57.141
57.143
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32.143
29.742
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24.190
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10.714
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3.571
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1.190
2.301
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DOurvfD run nun not* kt value SIHULATtD run nun MO I ML T VALUE I Hll
4 tooLMI- I. UCM»1 J-W
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Page 5 of 5
kMCM per Month
30.00 32.00 34.00 36.00 38.00 40.00
Yearly Flow Curves
STATION 15 BITEN WUHA © TEPI
MONTHLY BUN OFF V0LU1E
Graph 1 > Observed Graph 2 > Generated
r-»r\ . o«-»
i ono. • '.<-»
• ■ 1 . Ul> 1 WMA - «^O ■ *- • •• •
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A*MEAN RUNOFF CMCM!
0.00 2.00 6- 00 0.’ 00l 1°- 00 12.00a...Demand
Stor'ajj
i 'J ►'aj <. 11 in
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4.00 U.80 5.60 6.U0 7.20 8.00 8.80 S-tor ape MCMI
LAFP eN DIXB7-11
Hydrometric Station Beg Wuha Tepi (16) ( First Simulation)
Table of the output :
, Monthly Statistics
. Generated Monthly Flows
. Generated and Observed Monthly Flows
• Cntical Period Analysis
• Demand as Percent of Generated Mean Annual Runoff
• Statistical Evaluation
• Comparison of Simulated and Observed Parameters of the Runoff
• Seasonal Distribution of Runoff ( Express as percent of the Mean Annual Runoff)
• Seasonal Standard Deviation
• Statistical Measures of Corresepondence
• Listing of the Flow Duration Curves ( Observed and Simulated)
• Listing of the Auto Serial Correlation ( Observed and Simulated)
Figures of the output :
• Y early Observed and Simulated Runoff
Monthly Average Observed and Simulated Runoff
• Flow Duration Curve of the Observed and Simulated Runoff
J served and Simulated Yield ( Demand function of the Storage at 100% reliability)J ra¥
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1947 S. 4. 7. 7. 12.
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II. 14.
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II. 0. 4. 120.
1948 3. 2. 2. 14. 14. 4. 11.
II. 14. 9. 7. 5. 97
CRITICAL PEAIOC ANALYSIS i
1949 3. 2. 2. 3. 3. 4. 0. s. 5. s. 7. 5 40.
1970 5. 4. 7. 7. 12. 10. 11. 14.
IS. 11. 0 4. 119.
197! 3. 2. 2. 14. 14. 4. 11.
II. 14. 0. 0. S 94.
1971 9. 4. 3. 4. 4. 7. 0. 7. 0. 0.
II. 9. 7B
1971 5. 4. 7. 7. 12.
1974 4. 4. 4. 10. 12.
to.
II. 14.
IS.
II 0 4. 120.
IB. 11. 12. 12. 4 9. 4. no.
1975 4. 4. 4. 9. 12. 10. 11.
it.
II. 4. 9. 4. 107.
1974 3. 2. 2. 14. 14. 4.
II.
II. 14. 9. 7. S. 97.
MNANO AS PERCENT C* QlSIAVfO RAP
DC HA NO STQAMC CRITICAL PERIOD
tlAR NCR NCMTHS START EMO
10. SIN 0.0 0 SEP 1907 UP 1907
□as 0.0 0 UP I9R7 SEP 1987
1977 IS. 9. 4. 12.
II. 7. 13. 21. 12. 19. 0. 3. 134.
1970 to II. S.
IS. 13. 1. 14. 25. 14. 22. 10. 141.
1979 4. 4. 4. 9. 12. 10. 11. 11.
II. 4. 9. 109.
?O. sin 0.0
□OS 0.1
1900 3. 2. 2. 14. 14. 4. 11. 11. 14. 9 7, S. 97.
1901 4. 4. 4. 4. 4. 7. 0. 0. 9.
fl.
II.
01.
1902 3. 2. 2. 14. 14. 4.
II.
II. 14. 0. 4. S. 95.
30. SIN
DOS
04
1.S
2 NOV 1993 DEC 1991
2 MOU 1991 DEC 1991
I9BJ 4. 4. 4.
to. 12.
to.
II. 12. 12. 4. 9
1904 3. 2. 1, 14. 14. 4.
1905 4. 4, 4. 9. 11. 17.
It.
II.
II. 14. 9. 7.
ItO.
100.
40. sin 2.9 3 OCT 1993 OEC 1991
II. 11. S, 0. 104. 005 4.2 4 SEP 1909 DEC 1909
199*
4. 4. 4. 5. 4. 7. 9. 0. 9. 0.
IH7 4. 4. 3. 4. 4. 7. 0. 1900 4. 4. 4» 9. 12 to. II. 1909 4. 4. 4. 0. 12. 10. 11.
• 0 0.
II.
II.
1990 4. 4 4. 0. 12.
I*. 11.
II.
II.
II.
II. 4. 9.
II. 4. 9.
04.
■0
too.
100.
II. 4. 9, 4. too.
1991 S. 4. 7. 1. 12. 10.
199 J 9. 4. 7. 7. 12. 17.
II. 14.
IS.
II. 0.
II. 13. 14. 10. 7.
no.
113.
199 J 3. 2. 3. 4. 12.
S. 12.
IS. 12. 20. ■ 101.
JAM PEI RM API NAV JUN JUL AUC UP OCT H0V dec TOTAL
4, 4. 4.
S. 4 7. 0. a. 9. 0.
4. 4. 3. 4. 4
7. a 0.
fl. 0.
II.
II.
14. 14. 4. 13. 1
1
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I. 4. 4. 9. 11. 10. 11. 11.
tl. A 9.
03.
00
l»
too.
2. 1. 2. 9.
4. a to 19. 12.
to.
o. 92
4. 4. 4. 9. 12. 10.
II.
II. 11. A. 9.
•- IM
9. 4. 7. 7.
2. 10.
11. 14. 19. to a 117.
4. 4, 4. » 12. 19.
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II. A. 9.
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3. 7. a. 14.
S. 4. 7 7.
1. 7. 1. 4
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4. 4. 4. 9.
14. 4.
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11. IB. n. 14. 19.
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a.
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11. 9.
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IX 20. ■. 192.
SO. SIN 0.1 4 OCT 1991 JAM 1994
005 7.7 4 UP 1909 DEC 1909
40. SIH 9 S 4 OCT 1993 JAN 1994
005 11.3 S UP 1909 JAN 1990
70. Sin 13.3 5 SEP I99J JAN 1994
OK 10.7 5 SEP 1909 JAN 1990
•0 Sin 17 7 S UP 1991 JAN 1994
DIS 20.0 A SEP 1909 FEB 1990
♦0. sin 23.3 15 OCT 1907 MC I9M
oas 24 | 4 UP 19*9 FEO 1990
91. sin 19.9 IS OCT 1907 MC 19*0
099 29.0 a AUG 1909 NAN 1990
DCAANO At Pt SCENT OF CENEMATIB RAP
MnANA UQAAtt CRITICAL PtNIOO
THAN NCR nonlws BTANT 1*0
10. tin 0.0 0 UP IMP u* 1907
20. tin 0.0 0 up 1997 UP INI
10 tin 0.4 1 MOW 1991 DEC 1991
40. tin 2.9 1 OCT 1991 otc 199 J
SO. tin 0.1 4 OCT |9„ MH 1994
40. tin ♦ • 4 Wl 1991 JAM 1994
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ICWMItON or XPEADLMCE 5 TBU CT UM <M>rO-5WI*L COMEUirtOMI
nONTHir 0I5CK4BGE LEVEL
FEWCUH TINE EQUALLED 00 EICEEOED OBSERVED 51NULATE0
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LUG IN
nONTHS
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observes nuMorr
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100.000
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•1.170
0B1C4VE0 RM1HUN 00* T ML I wMUt II
%|nui MIO HAIlhUfl COM HL T VALUE 17.702
\ \0.00 20.00 40.00 60.00 80.00
Graph 1 >
Graph 2 > Generated
A
♦I
i,»Flow Duration Curve
STATION 16 TEPI 8 BEG-WUHA
Graph 1 > Observed Graph 2 > Generated
r-
■u “U So 0 o
8
• o o sMONTHLY MEAN RUNOFF
STATION 16 TEPI © BEG-WUHR
MONTHLY RUN OFF VOLU
Graph 1 > Observed
Graph 2 > Generatedjopkology
APPENDIX 7-12
Hydrometric Station Beg Wuha Tent , , .
} (S ^”d
Table of the output:
, Monthly Statistics
, Generated Monthly Flows
* Generated and Observed Monthly Flows
* Critical Period Analysis
. Demand as Percent of Generated Mean Annual o «■
. Statistical Evaluation
Runoff
*
4
*
*
Comparison of Simulated and Observed Parameters of the Runoff
Seasonal Distribution of Runoff ( Express as percent of the Mean Annual Runoff) Seasonal Standard Deviation
Statistical Measures of Corresepondence
Listing of the Flow Duration Curves ( Observed and Simulated) Listing of the Auto Serial Correlation ( Observed and Simulated)
Figures of the output:
I
i
•
<
Yearly Observed and Simulated Runoff
Monthly Average Observed and Simulated Runoff
Flow Duration Curve of the Observed and Simulated Runoff
Observed and Simulated Yield ( Demand function of the Storage at 100% reliability)
■® k l" —
Dt e Kri[<xl Development M»ster Plan|« GENERATE* HONTM.V FLOW*
IAN FEB HAA ARR HAT JUN JUL AUG SEP
■ neTHN 1»H AAAtlll BWki <t.0>
<Dt•awiHtlv' eccordin* to control record!
■ FILLS USED » ||| Control
111 Toroot
record - MTNlO/aATAFFLOU/CIUION/LOOZ.PCT record • /ETWIO/OATAMlou/dn«©nAOI*.d*t
1*47
I TAO
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1070
3. 2. 3. 5. 4. a. 10. 17. 12.
5. 4. 3. 4. 4. 7. a. 7. a.
OCT NCV
10.
DEC TOTAL
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2. 2. 2. 1. 2-
I. 4. 3. 4.
3. 2. 3. 4 12. 9. 12.
IS. 12. 20.
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4. 102.
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■ NONINLT STATISTICS
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2, 2. 2
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STATION 16 TEPI 0 BEG-WUHA
MONTHLY RUN OFF VOLU 1E Graph 1 > Observed
Graph 2 > GeneratedF
Flow Duration STATION 16 TEPI 8 BEG-NUHA
Curue
Graph 1 > Observed
Graph 2 > Generated00*82 00 'Tie 00*02 
HOW
00*91 □0*21 00*8 OO'h 00*0Annei j-B
hydrometric Station Birbir Yubdo (17)
Toblto/t/te output:
• Monthly Statistics
• Generated Monthly Flows
, Generated and Observed Monthly Flows
■ Critical Period Analysis
. Demand as Percent of Generated Mean Annual Runoff
« Statistical Evaluation
. Comparison of Simulated and Observed Parameters of the ,*■
. Seasonal Distribution of Runoff ( Exnress as ™ » ft
. Seasonal Standard Deviation 
P CTt of 6e M^an Annua] Runoff)
• Statistical Measures of Correspondence
• Listing of the Flow Duration Curves ( Observed and Sunulatedl
• Listing of the Auto Serial Correlation ( Observed and Simulated)
Figures 0/ I/re oidpur:
• Yearly Observed and Simulated Runoff
• Monthly Average Observed and Simulated Runoff
• Flow Duration Con e of the Observed and Simulated Runoff
• Observed and Simulated Yield ( Demand function of the Storage at 100% reliability)
rQ “Akobo Integrated Development Matter Plan■b- GENERATED AX OBSERVES XHTML* FLOWS.
IM FEB HAR APR HAY JUN JUL AUS SEP OCT NOU DEC TOTAL
M77 51 24. 22 23. 37. Be 172- IIS. 211 I7f 01. 4B. 10K
••A. 35 14. 24. 11. 21. SB. 111. 103. 100. 112. 47 51. 04$.
CRITICAL PERIOO ANALHlS ,
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HCH MONTHS START
LND
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¥ earMEAN RUNOFF (MCM)
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MONTHLY MEAN RUNOFF
STATION 17 BIRBIR © TUBDO
MONTHLY RUN OFF VOLUME (MmL3) Graph 1 > Observed Graph 2 > GeneratedPercentage o4 time -floe equal led or exceeded O.OC 20.00 40.00 60.00 80.00MONTH
Graph 1 > Observed
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R^SOL C
R ES
annex IB hydrologv
Tables
og-1 : Monthly Infilled Flow Data at Gambella (102)
T^le 9 Monthly Generated and Obsevcd Flow Data al Gambella (102) TiblC B8-3 : Monthly Generated and Obseved Flow Data at Chanka (1)
Tab e
! gg-4 : Monthly Generated and Obseved Flow Data al Gore (3 ) e 38-5 : Monthly Generated and Obseved Flow Data at Abobo (5)
08-6 Monthly Generated and Obseved Flow Data at Uka (6)
;
Table B8-7 • Monthly Generated and Obseved Flow Data at Dembi ( 8 ) Table B88 = Monthly Generated and Obseved Flow Data at Sor (9) Table B8-9 : Monthly Generated and Obseved Flow Data at Itang (10 ) Table B8-10: Monthly Generated and Obseved Flow Data at Pugnido (13 ) Table B8-11 Monthly Generated and Obseved Flow Data at Mizani ( 14 ) Table B8-12: Monthly Generated and Obseved Flow Data at Biten ( 15 ) Table B8-13: Monthly Generated and Obseved Flow Data at Tepi ( 16) Table B8-14: Monthly Generated and Obseved Flow Data at Birbir ( 17)
ttaro-Akobo IntegrKed Doeiopmenr Muter Pt tn
IB - Appendix 819*9 2140 1340 2040 1140 Z350 •520 ■510 1*790 21430 7490 2040 370 7497.0
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1924 2040 1270 1480
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192* 2*50 1*90
IM®
1590
1130
J40
910
5510 10200 20540 24**0 27090
1090 5970 14030 18 JOO 22900
2400 9010 10*70 21680 24150
3*40 14*70 1*970 28070 13*50
1*530
13770
21400
310*0
**40
*940 10980 11090
3920
2*90
4 270
4210
13917-0
10700.0
12191.0
10*90 0
10570.0
11303.0
11304.0
12055.0
0934.0
12207.0
13124.0
1927 2*20 1*00 1740 2330 3*30 8**0 10400 20420 27540 20070 7120 *440 12085 0
1928
• 70
990 7990 7|4O 15200 2*500 31100 27400 19000 7740 1930 1435).0
1929 2170 11*0 1400 2*70 SS10 12154 ton* 27540 12*14 13190 4210 4390 10584 2
19 JO
mo
14*0
1230 1990 5000 91*0 100*0 24*90 31*50 291*0 11570 $450 14151.0
193)
3040 2410 5138 5*35 14)10 17340 209*0 24749 1*123 400* 41*0 3990 13248.1
1971 1700 590 170 700 1720 *040 17530 22540 23900 21170 10*80 1950 11249.0
1972 22*0 780 260 lOOO ZB 30 7800 184*0 224)0 21970 10810 7130 2450 98*4.0
1971 1580 220 110 400 5730 10470 21110 31530 31910 18790 7000 2740 13144 0
1974 1590 700 790 *70 3M0 loaio 15370 24770 31910 19750 5920 2410 1232* C 1975 1790 1750 1170 1170 3780 11240 17400 19940 30500 20700 9400 3940 I2IO3.O 197* 2100 1490 1970 14*0 4740 IIB40 1*430 22930 23150 131*0 9**0 4090 11322.0
1977 2170 12*0 1200 910 1400 0050 15*10 21*90 31710 22*80 10290 $790 12303.0
1970 1140 1350 J 000 1920 4990 11700 20390 73430 252*0 23490 BB*O 5270 13717.0
1979 4220 2200 1440 1430 3010 8400 18490 21140 21*30 14950 3910 1130 10700.0
I960 1870 1110 11*0 2)40 7000 12010 21400 27440 22*30 15780 5870 3280 12191 0
1991 2050 1070 1340 ■20 3490 7080 19370 22320 28440 17270 5170 2440 10*90 0
1992 2150 1720 1410 1050 2110 ■200 15480 22010 22*40 20200 *020 3090 10570.0
1901 1530 1090 1110 1090 2*00 *050 1*190 21290 280*0 22040 ■ 780 3750 11393.0
1904 1870 1090 1060 9740 2010 9240 21920 23280 25500 100*0 4 J 00 2950 11184.0
1995 1490 070 740 1590 5510 10200 20590 24**0 27990 1*530 *4*0 3920 12055.0
199* 20*0 1270 1490 1130 1090 5970 14050 IB JOO 22900 13770 4840 2480 ■934.0
1907 1320 630 1040 1340 2460 9010 194 70 23000 24350 23400 10980 4770 11207 0
1990 2*50 1490 1900 910 3*40 14*70 1*970 20070 17100 120*0 11940 4210 13349.0
1999 2*20 1400 1740 2330 3*30 0**0 10400 2B42O 27340 20070 7120 4*40 12805.0
1990 3020 2190 110 1320 2500 10930 17JI0 32120 32585 22490 7830 3500 117*4.0
1991 2170 11*0 1400 2*70 5510 9*90 10170 27540 27150 19470 7*70 1740 12434.0
1992 1020 14*0 1210 1990 1080 93*0 10040 24490 31*50 291*0 11870 $450 14152 O 199 J 3040 2410 1100 1570 35*0 17340 20940 292*0 27150 19470 7*70 1990 14052.0
2408 1*59 17*0 25*0 4742 1030* 1018* 21435 23813 1811* 755* 3821 11952.4
W 1024 1219 1*7* 3038 3*00 3048 3891 4171 8*20 5914 2541 1259 1571.0 MOOS •0 M ■D >8 M M •9 98 80 00 80 *4 08.0
1970 1 390 $20 740 570 2510 11 800 21040 27070 31540 22320 2990 3120
11090 0
1932 1073 3073 4908 •414 1110 5450 20190 70200 297)0 2S3OO 11220 5790 19008 9
1933 2100 1500
420 240 10*0 9730 18500 20900 250*0 1*300 5590 >990 11329.0
1934 2140 1340 2040 1140 2550 8520 M18 1*700 21430 7990 2040 370 7487.0
1935
193*
I9J7
19J«
1939
1940
520
590
1590 700
1790 1750
740 470 2510 11 MO 21040 27070 315*0 22520 7990 1120 11090 0
170 200 1720 40*0 17330 225*0 25980 21170 10400 3050 11249.0
zoo 1000 2030 7800 10*40 22410 21970 10010 JIM 2*30 90*4.0
110 400 1730 10470 21110 31530 31930 10790 7000 2790 131*4.0
700 *70 5080 10810 15570 2*770 31910 19750 5920 2910 1232*.0
1178 1170 3780 11240 17400 119*0 30500 20900 9400 1990 12103 0
Table B8-1
1941 2300 1490 1970 14*0 4740 11840 1*430 22930 23150 131*0 9*40 4090 nm o
1942 2170
1943 3140
1944 4230
1445
1200 910 1*00 •050 15*10 21*90 31710 22*00 10290 5790 12303 0
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!STATION I CHANKA 0. GEAEAAIED ANO OBSERVED IM HODEl
HYDROLOGICAL TEAM START IMO QCTDKR
<14.11,12(15.A) .04.11
1451 412 171 ISZ 111 51 1341 5821 11442 1014! 5341 IIXB2 10351 544.3 1454 351 101 132 111 1711 TOOT 15412 11302 125! 440! 1401 102 540.1 1455 >21 142 241 221 411 4422 II2IZ 15401 12421 ■432 3131 1152 411.4 1154 m 151 131 141 741 3741 •441 72452 23571 M4J 1151 44! 717.1
STATION 3 GORE Qi GENERATED AND OBSERVED IH HOC EL
HY3R0LDGI LAL YEARS STARTING OCTDKP
(M.21.U(!5.A).F4.|>
1753 131 ■z 41 4! 122 40! Illi 1711 1041 Hl 47! 121 71.6 1454 21 21 31 01 4! 171 • 1! 110! 147! 011 JBT 122 52.5 1455 7! fl 2! 31 101 451 IMZ 1641 1171 2731 ♦41 IJT ■J.I
1457 m nz 111 172 441 7141 5441 5441 10341 13042 4201 144! 531.3 1456 131 61 41 41 121 44! I III 1731 1041 ■ 71 411 122 72.8 im nt 441 771 711 1241 5131 1224! 13141 13721 osxz Jill 1201 423.2 1457 13! It 41 41 121 441 1401 1731 1041 ■71 ♦11 121 72.7
1054 m 41! 741 >31 1322 5271 1257! 13531 14041 4071 341! 1211 440.0 1451 77 7! 12 3Z 101 411 III! 1521 1711 2051 421 122 77.0
1440 m >11 •It 741 1341 552! 13171 14201 14742 4501 4101 1M1 470.5 1454 MI ■t 41 41 132 712 1471 174! 1041 ■81 441 IJI 75.0
IM1 •U 711 ■51 ■ 11 1421 5441 1350! 1455! 1513! 4741 4201 1321 417.3 1440 151 •! 51 41 •1 712 1411 243Z 2361 1472 232 111 85.7
IM2 nt 142 241 221 Ml 4401 11141 15111 12571 0401 J82Z 3131 414.1
1443 271 611 St 21 41 • 1 4401 •651 10341 421! 1441 ■71 341.1
1444 411 171 ISI 131 St 133! 5911 11432 1013! 5341 11371 1014! 541.8
1445 341 101 UK IB! 1741 7102 ISM! 11872 ■371 ♦Ml 1431 ■ 11 544.3
1441 5! 31 2Z II 141 Ml 2O»l 1341 1571 2201 412 111 •1.1
1442 131 ■I 41 41 121 441 1401 173! 1041 •41 411 121 72-5
1443 71 71 21 3! III 441 130! 1411 1841 2241 47! 111 ■4.4
1444 111 ■1 41 4! 122 472 IHZ 1681 101! 141 47Z 121 20 >
1144 341 IS! >51 42 ■11 4J01 11341 10001 17011 MJ! 1771 •01 554.0 1445 7! 71 21 31 III 44! 1241 1471 III! 2251 471 131 •4.6
1447 351 101 131 111 172! 7051 11731 10531 •311 4441 1411 111 544.7 1444 201 122 71 31 12! 841 1151 3451 33ft 181! 312 III in.6
I860 351 •8T 41 21 121 111 3411 1240! 13X41 7W1 2441 1121 447.7 1347
III 111 41 SI Ill 13! 1431 305 T 288 Z 1702 272 IU 110.■
1444 411 171 15! 132 St 1331 MIT 11411 10131 5341 11371 10341 SM.B
144i 111 41 SI 41 41 442 1371 2342 2511 1431 231 III 43.1
1470 301 I! 41 Mt 431 ♦•01 •40! 1174! 15081 4221 1511 421 414.1 1444 212 111 7! 61 131 441 1441 3441 354! 2041 332 141 133.2
IW1 341 101 132 111 1741 7121 IM4! 11721 1401 4441 1432 ■21 400.1 1470 7! 71 21 31 101 421 120! 1542 125! 1101 432 122 71.7
1472 •or >31 >42 •01 1411 5412 13172 14411 14 Hl 445! 4141 111! 410.7 1471 51 II I! II 7! MI 171 1351 1421 1141 241 51 41.5
1471 71! 711 ■21 Til 1371 5471 1301! 14041 14401 4401 4051 1211 443.4 1472 21 21 31 01 4! 142 711 tool 1441 >12 241 102 45.2
1474 77! 701 ■ II >>I 1331 SMI 12141 13141 14411 •TH 4001 1241 454.7 1473 131 ■2 41 41 12! 701 1421 3711 1072 111 4tl 121 73.4
1475 141 131 lit 14! 731 J88I mr 2321! 24141 10082 III! 441 735.4 1474 131 ■1 41 41 Ill 681 Illi 1451 ton 87T 441 111 64.2
1414 141 151 111 42 111 4341 13471 1470Z 17172 5141 1711 ■ II 554.1 1475 4! 21 II 71 JOI 471 114! 1271 1332 IMZ 381 151 43.1
1477 331 221 ill in 831 7441 4001 4552 10441 13171 4241 145! 543.3 1474 Ill ■ I 41 4! 121 472 1141 1471 1022 ■42 441 121 70.2
I8>8 MI 131 15! 41 ■ 12 424! mil 10441 16*41 5771 175! ■01 548 4 1477 22 21 32 or 41 141 Ml 1151 1441 ■21 27! in 52 3
1474 Ml 101 Ill nt 1771 7011 15671 IMS! ■771 4417 1411 •01 542.2
1471 it 71 >1 141 241 541 1171 1341 1472 731 211 291 64 5
1400 3$ 10 13 it 171 444 1540 1137 ■24 480 180 <M> 504.7 1471 It It 31 01 4! 131 80! 103! Mil 74! 131 lit 46.6
ItBl 34 IS IS 4 •2 433 1343 IM7 1712 387 171 ■1 557.4
1402 74 47 71 74 ISO 311 1213 1331 1314 141 J«4 121 411.7
INC
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IM3 148 708 4 1 12 II 407 1273 1170 ■ 14 254 III
<54.7
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I M2 5 1 1 i 7 34 6f 135 142 1114 24 5 61 6
1704 S3 21 IQ 7 44 502 1005 887 1557 372 135 10 474.3
178$ 30 • 4 14 43 471 884 1174 1302 420 130 w 412.1
1784 41 1? If 13 3 134 MH 1141 1011 531 1143 1034 571.4
1781 ?0 174 23 71 114 341 Hl 1015 1114 ■44 244 104 447.1
IMS 2 2 1 0 4 15 82 105 151 75 25 II
47.5
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IMS « 2 1 7 30 47 1 III 116 112 IN JI 15 62. ■
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IMS 44 24 14 >7 42 334 TM 1711 1010 •81 211 111 114.4
1770 44 24 it 11 11 in 447 19IS 1304 430 143 135 474.5
I486 10 3 i 1 18 78 J ro* 1348 1878 210 41 II
41.0
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1 1441 34 18 5 24 148 ♦50 1408 1141 1103 480 mo ■4 584.4 1440 15 • 5 4 8 TO 138 738 251 144 31 II
1441 14 14 14 17 ■0 413 734 2443 >541 1070 1354 704 718 1
1441 7 4 4 5 ■ 16 U28 Uli M4I 488
348 M8
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1
718 148 771 278 788 4188 1114 1117 1131 U8 180 312 413.5 1441 >8 78 28 38 148 438 U2O II ISO 1784 3131 448 138 78.8 INJ 130 80 48 48 11 68 107 II TO 104 85 41 11 71.4
AMI. 40 3% 37 11 78 484 IMS 1421 1334 712 m 308 880 1
' wv. 10 77 2> 16 41 3t4 MV 541 417 >47 U3 m 84.1 1 MG85 41 41 41 41 4| 44 44 41 41 41 41 41 41.0
AVC ■ 6 3 4 12 SI |18 184 147 111 >4 43 73.7
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Table B8-4
41 «| 41 01 411 81 41 81 8|.8
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1404 444/ 3471 11457 1011 2 30501 33141 J77SI 523*1 4 4401 34021 23172 15451 3104.4
1407 2411 1521 2141 4271 • 141 174*1 15441 23507 23441 14141 13*82 7341 1340.4
1400 0507 5441 11107 10047 21701 324*1 37742 44201 55241 55051 2007 Z 14441 3432.4
1480 7411 1821 2141 4271 1141 17441 15447 23507 134*1 1*142 13401 734! 1340.4
1470 8522 5441 lllll 1010! 20731 JJ001 37701 4427! 55331 55121 20112 20021 3437.3
1471 4881 3442 2441 2321 ♦041 31777 34441 55111 42371 38141 25771 24171 2742.4
1472 3431 2471 35*1 4942 13257 20451 2547! 38242 3O2OZ 3118/ 22291 12041 2244.1
1473 ■541 *007 11422 10147 20441 33241 30122 44701 95021 55417 20342 20141 3447.0
1474 I4O4Z MB 7 8102 5*11 15007 14732 2**52 44322 41327 42242 22932 14457 3150.4
1404 4007 J441 2441 1J2I 4041 31771 3*441 Mill 42J7J 30241 25771 24271 27*2.4 1475 7522 4221 11551 10031 21431 31441 17*12 53371 47302 31451 21222 23377 3004.4
1410 3431 2471 3541 4441 13251 20451 25471 30247 30201 11182 22207 12041 224*.1
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147* 095! 3101 3041 tout 20331 •5401 34441 $2142 31742 24021 17037 13241 2 ? BO. 5
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Annex 1-B
APPENDIX B9
Generated Time Series at the Dam Sites
List oCTables
Table
Table
Tabic
Table
Table
Table
Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table Table
B9-1
B9-2
B9-3
B<M
B9-5
B9-6
B9-7
B9-8
B9-9
B9-I0
B9-11
B9-12
B9-13
B9-I4
B9-15
B9-16
B9-17
B9-18
B9-19
B9-20
B9-21
B9-22
Monthly Generated Flow at the 1 tang Dam Monthly Generated Flow at the Gambella Dam Monthly Generated Flow at the Bonga Dam Monthly Generated Flow- at the Tams Dam Monthly Generated Flow at the Abobo Dam Monthly Generated Flow at the Chiru Dam
Monthly Generated Flow at the Mey Dam
Monthly Generated Flow at the Dumbong Dam Monthly Generated Flow at the Gilo-1 Dam Monthly Generated Flow at the Gilo-2 Dam Monthly Generated Flow at the Gilo-3 Dam Monthly Generated Flow at the Birbir Dam
Monthly Generated Flow at the Geba Hydropower Monthly Generated Flow at the Geba Dam
Monthly Generated Flow al the Sese Dam
Monthly Generated Flow at the Sor Dam
Monthly Generated Flow at the Gumero Dam Monthly Generated Flow at the Bare Dam
Monthly Generated Flow at the Beko Dam
Monthly Generated Flow at the Kashu Dam Monthly Generated Flow at the Saku Dam
Monthly Generated Flow al the Birbir Dam Site No2
Baro-Akobe Integra (cd Development Master Plan
B-40hywclxicm. now stmhng
114.IX 12(15 .M.F9.H
1020 IM 237 144 IS3 204 42? ma 2024 2170 1434 723 423 1042.3
1021 104 IS2 154 152 204 42? 1410 20H 2717 1143 MO 407 1140.2
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• 02? JO* 204 213 211 410 Oil ItOI neo 2703 2050 730 711 1142.7
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Table B9-1
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1025 1277 003 1004 1204 1300 0714 110*1 23101 23555 22454 10422 4414 11000.4
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1037 2104 m 271 047 2710 7423 10051 21470 21253 10457 40V 2544 0544.0
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AVE 2307 1404 1023 2750 4711 0054 17000 22070 2324$ 7427 7370 3706 11425.1 5 DEV 1022 I2<r 1724 3147 3004 1113 3023 4125 6304 5036 2524 HOI
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lOOCFfNOtNf DATA SET AAR MfA
RAF
1030 1520
213
104
317
$543 10120 70421 3050! 30M0 10177 <772 2400
12714.3
ncn
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1030 1510
477
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440
5400 10457 15042 231*4 30044 14105 5727 2015
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1102.011
12017.3
21461.0
1450.0
1440 1732
1403
1132
1112
3457 10073 14000 10341 14505 20210 ■ 124 3743
11700.0
1041 2225
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1004
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10052.5
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1443 MM 1304 1045 1057 4741 11304 10010 24410 24434 24440 0571 5000 13240.3
1444 4007 2204 1313 1313 3404 0307 17077 20450 20424 14442 5420 3020 I03M.I
1045 1004 1247 Illi 2070 4771 11410 20707 24544 21001 15245 5470 3173 11703.1
IMMOENOEV GAUGES
TOTAL RAR • 12017. J RCR
TOTAL AREA ■ 23041.0 «4 ka
MEAL HAP • 1*50.0 aa/yaar
1044 1403
1035
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1374
7423
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21542
27512
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5130
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14070
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24400
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t*5* ♦•*1 4-4W WT/
till! 1012* 30*0* mil !!■** 4*11 *T|Q 3*M 11*3*.1
l»iU
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1**1 M*o *»!» san rno IHfl 1 M-40 >3101 2HI0 lima L1410 1*42* ***4 11702.3 l»*3 IM* MM *141 vt*L 10*0* IJ»*» bt;>n ir*fi Illi IPD* w* IM* isoor i no *»1* WM ?*u i&iii 11*1* ■ Bilk MUI l*M* Bi la t*fr» MT* *7)7 117ZT *
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LRlfc^UOlHYDAOIOGICAL VIMS STARVING JANUARY
I9B5
III
54
57
71
347
101 041
913
1084
974
450 345
579.7
1
1904
179
124
71
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205
539 1094
1201
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545.1
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204
501 810
997
813
932
535 251
554.3
l MB
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91
47
342
448 129
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1214
1301
570 302
489.2
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141
104
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411 827
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570.0
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591 021
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092
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415 224
547.1
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554
249
417.7
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141
114
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354
709 752
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092
040
415
211
542.2
AV€. MB 75 47 134 340 433 800 1001 074 B34 427 212 554.9 5DEV 34 27 10 98 J 55 244 145 145 |4| I4B 92 40
INDfrrNMNT DATA SFT
AAR AMA HAT
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M
JHO5.0IM
554 7
7000 0
1245.0
INMMNMNT GAUG05
TO ML MA • 
554.7 ACT
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2000 0 M *■
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1249 0 ■■/*■*<
DCTCNDCNF AfCOAO
AKA >
2790 0 a«.k«
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1220-0 w/vur
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1.0091
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994.* IKil/voar
Table B9-5r Z 
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L*+a Sb 11 3 b J* ai LBk IS* liv hk* 111 fill *k
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1311 ia 35 7« XI Ml Kt Til ID* TF* 140 m ii 174.1
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1*4 a«i HO ZT2 H* 131 71 113.1 «■ 1* «* 45 «* 51 31 11
1 IfJI M
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If 77 71 JJ 11* 111 144 111 2f» It* IJ 1*1.4
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mr a* 11 T7 >1 ■R III ni 340 111 Ul 131 II
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l«» 14 11 M 34 n III 25* Jll in 2SI 110 •f
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If 11 21 IF LU 111 1*1 in 250 LH ii
LM.l
INI IB /I 31 41 lit
Lil Hl >01 7JF 341 Itt 70 n* i
| l»4>
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lfl.7
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1**5 vi
13** 47
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laDETfMitwl MTA Ml
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WTHL RM *
IDT AL WR *
meal m* »
3tF«.HM>*l BLimi
S3* 7 ttn
1710 0 1* ia
12*1 0 aa/rwar
I
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"■IB - TlF.O M.kB
MF B HOD 0 MTV***
Ml DMT - « Wit
Ml » 173,5 *C*l/»44r
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1411 41 mi M XT 74 a ti L 114 MT JU lit Bl 41 1X3.T
•i mt mi 34 31 70 44 nF Ilf 37* fti 33 k ill 41 IM, 1
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IJt 7T 44 Hk 171 714 223 33B 3 40 bio *■
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141 ’ >1 ■ 1 II IX Lb * III 111 JTS-I Hl MM i*i 15 LOX. 1
I Ml 13 11 it 41 ILL m lor 340 243 >H lit •3 k»*.o
TabLe B9- 6
1*54
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XI
ll
44
31
lit
231
250
Lit
1*4
Llto
153.1
|
1 MT It
Lt
17
44
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ill
JIB
143
ni
303
1*0
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1
LVM
11
1*
71
24
111
lit
111
1*0
TH
1*0
tf
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1
1331
41
n 
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111
Hl
7*1
lit
19*
241
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it
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l*M
11
11
13
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lit
111
3 XI
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lit
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1*1, 1
1
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13*1 HI 11 IF M lt» 3F4 3X| H» m JI* l«l *F UH a
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13*1 If j* n JU IDF 111 14* 345 »o »*
l'» lift 41 JOfi lai MJ 314 1*4 1I+ 11* BiT 1*3 t
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I |3*3 If ■ 1 »r> *5 140 141 Ilk 347 LIT Ik *1 IF* ■
> 13'** >* ba ba 23 115 ill >7* 714 3* 1 34* 141 Lb*
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1 13»4 11 11 IT *4 lie IT* in 111 It* ll* l«* 4« lh *
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1 b*t> *4 IL 11 n m 171 w 240 in n* 111 *1 147.1
1 13?> 11 11 7T 4+ HL 171 in 317 xi« 2*U LSI LB IQ* 1
■ |RT* 1* 11 44 24 va 117 m JM ill ML 130 47 LF4.4
I LIT* IO W in 21 llo 111 in lot lit 1f0 Lit 73 kF* a
If 11 JI 17 ll* ILL 344 J*1 jtl i** *1 141 ♦
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1*1 I
I ITO in 1* 14 43 l»* III 301 tot 1*1 33:4 1 1 F M2 L44 S I |47l 44 IL 11 U 4* IF* 214 1*3 4*1 ZJT K> *1 L4F 1
1 »•» IF 13 bl !■ I** k»i J4F 31* li? 3k4 • 2 kO 1*1 » I !*□! 31 la 71 20 l« in >14 1«T IM III rr IB 1*7.0 I toll *1 JO 25 3» 77 hat 1ST 1ST ll 1 II* II *3 Lit.■
CHIKUrDAM 1-1 •w 1;32o
Pane 1 of 1
I?INFLOW TO MY W BASIS ON AlOOO STATION
HyOAOLOGICAL ’EARS STARTING JANUARY
tlt.ll.lKlS.Al.Ft.tl
1*20 23 4 4 40 44 72 120 151 12« 54 44 11 77.0
|tll 17 5 11 12 15 44 107 IBS 141 130 75 44 82.4
1022 17 5 13 12 15 44 107 115 140 130 75 44 82.7
1521 23 5 5 13 44 SO 127 155 127 145 Bl 35 04.5 1024 21 10 11 15 31 tl 03 111 105 107 43 21 40.0 1425 28 15 11 10 32 B4 170 IB6 124 124 55 20 07.4
1524 27 14 11 33 55 111 Hl 125 125 120 75 34 53.0
1527 11 5 5 11 SB 74 134 144 IT2 154 71 50 51.4
T57B 20 to 5 21 IOB M 157 174 120 141 71 42 >00.4
1525 23 4 4 41 <4 72 121 152 120 54 44 31 77.5
1530 20 5 B 21 107 fl 155 172 124 144 70 42 55.2 1511 27 14 14 31 54 ISO 112 130 125 111 75 34 53-7
1532 15 5 • 23 106 S3 154 170 125 145 45 41 58.2
1533 17 5 11 12 IS 44 IM 104 MB 125 ?■ 44 82.3
1534 11 5 II 13 33 75 72 114 fl 54 30 It 55.3
1535 27 14 11 33 55 IM III 125 I2B 115 74 34 52.7
1534 17 5 11 II IS 43 104 IB! 147 125 70 45 ■1.0
1503 50 14 10 7 Ji 44
1581 24 4 4 42 47 74
1505 n 5 5 II 57 75
1504 20 IS 11 10 32 84
107 125 142 140 71 3$ 80 2 124 155 13! 54 46 31 79. a 133 142 140 151 70 57 as e 170 >04 124 124 50 20 07.4
. 1507 23 9 9 11 44 70 127 155 124 144 83 19 84.2
ISBB 24 14 14 10 54 104
125 171 188 202 SO 47 104.B
1500 27 14 14 34 54 102 114 112 131 122 76 15 04.8
1550 25 14 10 13 44 05 128 144 145 141 65 34 88.5
1001 24 II n 21 75 52 127 150 130 130 64 35 87.0
Its? 24 12 to 17 71 tl
127 154 ISO 145 04 42 05.7
1553 25 IB 10 14 55 110 117 154 130 130 44 14 87.1
AVI. 23 12 10 21 S3 SB
124 J 55 136 130 44 34 ■4.3
5XV 4 4 1 15 24 IB 23 22 22 24 14 5
103? 33 IS II
II 44 07 112 120 tl 110 41 30 73.7
1*30 27 14 14 13 55 IB4 112 110 125 120 75 14 01. J
1535 15 14 10 11 44 54 12B 144 145 141 45 34 08.-2
1540 25 IB 10 14 55 HO 114 154 lit >30 44 34 07.0
1541 17 5 II 13 IS 44 106 104 14B 125 70 44 82.2
I MM PENDENT DATA MT
IH05.IIN
rtM
ncn
AREA
K.U
554. 7 2750.0
n*R
1245 0
1542 24 II
1543 24 U 10 17 71 tl 120 155 155 147 07 42 04.4
1544 23 4 4 41 47 73 122 153 125 55 45 31 70.4
1545 21 15 11 10 32 •1 145 146 124 115 55 21 07.1
1541 23 4 4 41 47 71 12? 153 125 55 45 31 70.4
1547 23 4 4 40 44 72 120 151 170 54 44 11 77.0
1541 17 5 II 12 It 44 >07 IBS I4t 130 75 44 02.4
1545 17 5 11 12 It 44 107 IBS 140 110 75 44 82.7
1550 23 5 5 13 <4 SO 12? 155 127 145 •3 15 M.S
1551 11 10 13 15 M 51 tl in 105 107 41 21 68.0
1552 21 15 11 to 12 04 170 IM 124 124 55 20 07.6
1553 27 14 14 31 54 IBS 112 ISO 125 120 75 34 03.5
1554 10 5 5 11 M 74 134 144 172 154 tl M 01.6
LOSS 15 5 ■ n 104 52 ill 170 125 144 45 41 St. 1
1554 34 14 11 12 44 S3 H4 in ♦5 111 44 32 74.7
II 21 74 52 >21 151 135 111 44 35 00 1
INMPENOENT GAUMS
TOTAL flAA •
TOTAL ARIA ■
ARfAL HAP •
MPtMKIff RECCHIO
ARIA •
NAP •
WEIGHT -
AAR •
554.7 ncn
77400
1745.0 M/VBAT
353.0 b« *■
1550.0 M/y««r
0 1550
•4.3 ACN/v«ar
1*1 TO 5 • 21 107 •1 IM in 134 144 70 4]
IHI 14 ■ 11 14 l« 70 160 174 >44 04 IS It 04 0
ft. ]
Table B9-7
1515 24 13 IB 7 40 102 IU 145 144 l>4 74 2t
1440 14 ■ II 14 • « 77 164 172 14] 03 It IS 02.f
•
43
I 1545 14
I54| 24 11 14 15 54 too 114 105 103 155 ■7 45 101.4
1542 27 14 ■ 3 n 55 It? 111 111 lit IIS 74 14 52.4
1541 l 15 5 • 31 104 st 111 147 in 141 45 41 74 6
11
4
13
4
10
•1
14
«■
•«
74
in
134
101 IM 151 •4 41 101.1
ill194
IK
144
4M
111
111
3*1
RM
UT
JM
>U
1W
111
111
*t>
ID I
IM
iu
IJD
1H
ikt
ill
HO
lit
111
111
1*1
i«>
LUI
LB
•5
il
M
n
IB
tAMMHMNI MT* Mt
*** Ml*
rwi BlK
ncn
514. F
4B.lt
HW.ft
M
IMM'INKNI U*UUE5
■01 Al iwm >
1V1RL MtA * MIAL Fl** •
UiFIWal MXQfeD
KJUtF ■
MR •
«i.T nrn
mo Q M.fci
IH1.4
klDO.D ■ »-!« 1«ID.» M'raar
tun
hi •
Table B9-8
DUHKMG.OAM Vl-W 1t35*
pm« i or iIMFLDU 10 GILO-1 Win BMW ON GILO 5101100 • COVUTED 01 FCCftl
HVMOUKICA. YEMS STARTING
<14.11.12115.A).F9.il
JANUARY
1920 733 373 931 717 1413 2939 2444 3129 2405 2004 1070 744
1930.5
1421
1922
4*4
247
230 7M
2201 3543
3107 4055 2440 1929 1117 1032 21*4.5
247 230 794 2204 3540 1111 4041 2472 1931 1109 1034
1923 573 m
1433 2435 ?■•♦ 4043 3*05 2940 1417 1700
744
1924 257 142 212 455
0*5 1057
1494 2800 1494 2014 1455 71*
2149.7
2350.7
1479.4
1925 734 107 901 701 2357 2543 2910 4047 3440 3014 1729 1210 2400.9
1924 450 ♦40 913 700 2120 2550 2919 100* 427$ 4259 2172 1544 2455 9
1927 441 447 MO
19Z0 493 217 5>W
740 2144 2405 2044 3710 4147 4101 2117
470 714 3355
3009 1709 3592 4204 1925 1309 3001.1
1929 73$ 373 934 790 1419 2950
2475 31*0 2494 204* 1001 749
1945.3
1901 14*4 401 399 432 1155 1200 2201 3795 4718 4 789 1744 1535 2430.4
1904 440 403 320 407 1300 1794 2924 370) 4244 2070 2047 944 2207.7
1985 549 143 314 1115 2494 3334 3074 M06 3375 2375 1245 999 2292.4
1904 704 339 097 750 13*2 2032 2549 3014 2395 2010 1030 730 1047.4
1907 309 195 2B0 540 1043 2239 2044 1013 3004 2454 1753 ’48 1703.2
1900 512 154 371 249 2220 1723 2014 4009 3439 5111 2201 751 730* 4
1909 Ml 32* •93 773 145? 2471 2900 4123 3457 1011 1440 1904 2384.0
1990 732 10* 090 780 2311 2557 2911 4017 3439 3009 1725 1207 2395.2
1991 *50 453 901 >70 2192 2511 2M3 3750 4221 4205 2144 1577 2422.3
1992 940 907 771 1752 3054 3551 3405 1439 1009 1725 nes 2492.1 1991 742 4*0 080 743 2044 24B5 2702 3504 3054 2109 1920 1210 2229.0 AVE. 474 IS? I2H *91 1423 240! 2903 34)3 3159 3141 I7H 1254 2337.4
1930 400 213 5470 450 701 1295 3020 3443 1520 4112 1090 120! 2947.4
1931 445 444 923 709 2245 2579 2953 30*9 4323 4107 2197 154* 2*05.0
socv 241 105 1757 245 474 444
i
504 522 742 1043 403 304
1932 470 20» sno 447 490 3243 1913 *40 244 134 790 2107 3521
3759 3585 3471 *044 1040 1245 2900.3
3007 4029 2457 1917 1379 1024 2153.0
1934 IB5 117 149 329 427 1344 1227 1009 1004 1473 1051 549 1070.5
1935 454 457 908 >7? 7209 2517
2905 3707 4253 423? 2141 1539 2442.4
1934 374 245 191 179 700 2445 2009 4242 1241 2943 1904
1937 102 190 174 534 1020 2190 1910 441 402 917 704 2231 2542 1939 1447 403 J 99 412 1155 I2N
1999 2947 2940 2400 1715 927
2124.2
1744.0
IMO 579 315 009
772 1449 24*0
1941 450 245 234 707 2101 3510
2934 3025 4294 ♦200 2101 1554 24*9.2
2202 3794 4720 4791 1745 1534 2431.3
2895 4104 3441 2990 1433 1799 2374.4
3070 4017 2445 1910 1374 1021 2144.3
IMOfPENDENT DATA SEI HM AREA hap
new ♦4 !•
2HI3.I1M 3037,0 10137 0 1320 0
1942 1442 402 390
1151 1205 227* 3704 4707 9777 1740 1531 2*24.4
1943 450 201 5170 429 470 3149
1944 740 100 950 004 1442 3000
3451 3401 3371 1949 1004 1220 2014.4
2722 1194 2537 2129 1100 702 1970 I
INDCPEMEMr GAUGES
TOT**. tu» « 3017.0 rtCrt
1945
732
10*
090
700 2 351
2554
2910 4014 3437 1000 l?24 1204
2394.5
TOTAL AKA ■
IOI37.O *• >■
1944
747
379
990
002
7717 3IM 2533 2124 1090 700
1978.4
AWAL HAP ■
1320.0 W/V84P
194?
m
371
931
707
1413 1939
2444 3129 2405 20M 1070 744
1910 .5
1940
444
747
no
794 2201
154J
3107 ♦055 24*0 1929 1307 1032
2144.5
DEPENDENT IECOBD
1949 44* 247 no 794 2204 1540 3111 ♦041 2472 1931 1109 1014 2149 7
1950 173 322 ■00 744 1433 1415
2044 ♦043 3405 2943 1417 1700 2350 7
1951 257 142 232 455 049 1057 1494 2500 2494 20M 1455 704 1479.4
1952 714 107 901
I9M 441 441 920
1954 441 ♦47 890
1955 440 209 $524
1954 714 343 90?
1957 *00 213 5428
1951 744 449 ■90
2910 4047 3440 3014 1719 1210 2400 9
AMA • 7571.0 «4.k4
flAP • 1340.0 aa/w^r
UH CAI • 0 7497
RAR • 2317.4 RCH/MAr
7941 1035 ♦307 4191 2 IM 1559
7044 1710 41*2 4131 2117 1500
3750 3577 34*4 *05* 1057 1242
1597 3047 2421 1012 1050 >47
»20 3441 7520 4131 1090
1205
3707 3592 1059 21M 1911 1112
1554 MOI 1443 3012 1717 1107
2*75.9
2300.7
2091.0
IMO 1
ttn.i
2<M •
Table B9-9
1959 941
1940 449
1941 717
1941 451
901
719
|75* 3040
1114 3944 111* 4079 2401 19*0 1395
701 749 ISM
l 4000 1092 3740 4413 2020
*34
tn
2190 1914 MO9
1740 4217
1943
♦51
209
519?
411
472
1140
1M1
1494 1M4
1944
711
in
M90
•09
>14
1440
1990
19*9
Ml
n*
!•♦
in
471
1140
2*90
*•**.
•>>
♦ 91
MO
th
11M
1954
■Oil
19*2
•59
9M
919
701
■in
mi
>•11
19*0
•*•
!♦•
T14
■107
mi
1*44
IM
til
149
1*4
•it
!>♦♦
*m
W
•a*
797
tin
!♦••
>•04
194
114 I
*91
1H
>91
144
m
*•!«
Hl
441
•»>
lit*
•at
4V4
nw
» *r»
tit
*•••
>«•
t«»l
I t»*
• •••
»•••
z
X
.7
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■ ■^4■
F*7
KJ!
»7J0
aa> *
V«+fr
UH
r* H
jr>«
4177
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FF iWF
b* JW
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ttrf i
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BIT i rca H/ J*f4 »74
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im.i
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••■ 4u»i h»m mi« int mi imi ibii
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*•4 till Ifefel fefelQ UM fetBl life* life! Ifelfe UC1 1
•ID JTF1 Wl 1**4 4444 MOI Mil >«44 IMO 1111.1
(
J/<1 rua art bm 4irr 4H2 hit «rj *Jl« JIM MW 3735,*
|*M NJ 1*5 UtJ HI iMi M/J )JJr J*Ot 1J04 MM 1310 >v /•I 1,4
zno.u
J* JO IV
Itu •«
ait in 4101 *711 mt *3*1 IM3 JMJ l*M 3441. J m IJtt w 77*5 JJI* J*T* *>*> I11J 1141 JFJR 1*07 3343 *
AWl •♦X 414 1411 Ml ion 1141 3414 •in 4101 Hid ilH IM* 5K4 114 214 1111 no Oil KM no *41 *40 im 101 4«L
J *IT PJ< JU m* OM 11* 4017 ♦M0 ii*j •IJI SOIL JIM 1111 1410 5
1*31 W2 Ml 2*4 •tl JUJ • raj »feJ spife J05J 1M4 1714 IJ/7 7*04. 7
1*34 HI IO« JJt •*•
itn IW7 1HJ 1144 mi 1311 fa*
nil*
1»J3 II* St* 11 JI *♦> JMB ina MU *71* lit! 1375 3»a 1*15 1J0*.4
l*M Ml
l*3f Ilf
i*m azj
3» ZJt ZZJ •Fl Mm 14*4 INI ♦ 040 j*n !♦*• J3H 1444.1
J3? 341 1*7 11/9 HM JM1 1*1 * nto mi 1131 1 L5« 3l»u*
ITS 1141 tr* zm 11*9 J4SI
■ Ja* UM 1717 IfJT HIJ.I
l*T* 1171 tit 4*4 5M 1437 IMJ H4I •n* MTt 1*44 11*7 ttll wz« »
1*40 7 JI +4H 11*7 •*1 7*51 1MJ BO* *10* •111 1712 1031 Til* MH 0
MH AKA
ncn *a.k»
»17 0 10131 0
r**
I! Jo. t>
mi ii*
IAS 1*3 IM Utt iUi Mil W4I 30*3 lira mo mi
Mil *
1*4 J 1171 IM Ml Ilf mt Lit* Illi 4711 m* t*44 JIM IIM uia.3
IHJ 110
1*** 4JI
til ♦*H rai nt itzo •545 413* 4I*J ♦115 am in* Mil .3
tn 11*1 1*09 in* MH IIM W1 IIM i*4* Lit* *71 14*3 1
tNtHPlBMNr Mt* MT
1*1 1 UH
IhMAfnonr tiHcif
i»« an 5*1 nil ffi a*M >1K± 1*21 Ml* 4T71 3IH JIM IMI
i*at i
mo in 4*1 ■ no • ** HIJ >>>■ lilt 3*4* mi MU IMt IN 34*0 J
ivtt tn B*4 i lla ♦rt 171* Ml* 111* 1111 !•** «•’ 1341 Ml
IMl. >
mt wji
»■ m »n 114* *•!• >047 BB4B 1371 1*01 1717 INI mr.o
l»*» BIT mi
Bi •*i 17*4 ♦41? Wl MH MTT 140V ITM |»7 ZTBI B
m» in •Bl 10*1 Hl nil ien m» ioli 4M1 14*1 1411 3110
i*r* i
toih. am • Mit.a ncn
ram feAtB ■' lam.fl sa.k>
•81 AL RV ■■ IUD.fi M/V«fer
tM.Pl.taU4 I HlCCflU
MM A .> fefefefi fl 14.ba
n# .• 11)4.0 Www
mi irn JOI TH 9*1 tan till mi >111 llni rtli mi ■ 70 mi .1
i*» in Wt nil nj t*34 31*1 3+11 OOM 4F»J JH4 im IBM ini a
mi oil »M 1141 na »lti ini 31*1 4IFt Mil 13*1 *714 im 1111.4
Lilt 79fl 457 IIM mF >114 39*4 W3 4418 1IW 51 kl IBM 1077 1377-5
JKI5"T ■
■ o mi
riM ■■ 3*10 0 ilLrvaoor
i«ti tn
m«. bi*
IMT •+]
mt hi
lai • 111 Kfe •»* •an •»•« 44*1 •ill 1054 111 1 nn Mflj •
•Il 111* •54 |TH !**• Mil 17*1 1011 1510 IJ8I *34 HM 7 1*4 ro*t an •11 • Ifrl • TH 41» 4101 ■ m 3111 1404 344*.1 IBI i iaa Hl n*« 111* 1*79 *47J IBM Mil tH4 IM1 mo.4
1*1* IIM Illi Illi •11 rm
•it* •1*3 4M* 3T4V ilia ma IIM ♦
Table B9-10
n*a all »• TM
inr 4417 l«ti Mra 1HI 1410 1117 1104 mi. r
' life* 1B>
| IHI III
1 1**1 111
!•* Tail nri •n nil Ml* 4a*> •4*1 »•♦• 2114 |T0t T»|V 3
5*1 i*n
JFM 1IW1 n»j •+•* 9J«a 911« 14 lb bMfe mi. 4
'i mi i*+
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Pftfie 1 of- ECONO
WYDftOLOCICM. YEARS STARTING 0C100C&
<14. 11.12(15.A». ,F*. |>
1*20 510 201 254 400 510 10*4 5110 *50! 0*10 4414 02* 010 3310.2 1*21 *77 33* 245 255 17* 314 4554 11253 0*3! 7*55 2044 1030 3*14.4
1*22 990 34| 243 505 1*4 40* *731 11340 057* 742* 1*34 1050 3**3-0
1923 $50 340 322 2*7 4*7 2275 40*5 9317 1507* *772 2545 1212 4530.0
1*24 140 71 103 117 2*5 1534 5425 44*3 4*34 1*35 *42 454 1*52.4
1*2S 2*5 205 I** 474 10*0 4251 *020 11*41 10444 5117 1*54 79S 4*77.4
1*24 7*4 521 55 170 1537 4401 100*2 13373 10227 ♦7*3 24*4 1022 5410.3 1*27 730 S0« 47| 174 *51 »•■ 00*7 11573 12021 10353 2204 POO 9232.* 1*20 1034 997 255 405 •7J 1*07 *105 ♦920 212*1 15500 39*7 200* *451.2 1*2* 515 I** 252 44* • 19 1907 524$ 9799 0370 4234 779 053 3329.0
1*30 2454 4*3 424 1452 3074 2*43 95*1 9993 144*7 10424 4*20 1*40 *292.5
1*03 2*4 240 10* 2*3
1*04 1*0 0* 127 40*
1*05 2D* 130 121 26*
!*•* 430 204 240 104
450 132* 340$ 3244 *90-4 7313 2250 05* 3S*I.9
407 23*5 0105 *740 •032
2200 900 *02 2*43.0
453 29*3 *231 024* 9047 4002 14*9 B*J 1173.S
231 1942 4531 •904 91S* 3721 132* 103* 29*0.3
1903 *33 in 242 2*1 174 400 **50 11370 05*2
1940 73* 5*5 40! 134
1909 2*7 3*0 292 440
1*40 4*1 4*9 2*9 31*
1991 912 199 252 44*
1092 404 375 27* 70*
1**3 001 $40 31 10*
AVE 714 405 297 453
3DCV 5*7 233 101 377
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*50 2103 •304 104*4 0957
0029 2135 1112 4025 4
10073 23*5 73* 5314.7
4**4 1301 1700 3330.0
500 45*3 7*40 10043 1159* *2*7 1404 ♦7* 4545.0
*12 1*11 5214 ♦ 73J 07*7 1*71 2*2* 5590 9040 10*94
4404 17* ■32 3100.1
31*4 200* 1010 4273 J
1531 *534 ill** 11213 10575 *433 233* 1014 541*.3
1100 2*09 74|4 ions 11105 7011 2213 107* 4915.1 1012 1045 Z57* 2309 402* 3215 1150 490
1*11
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INDEPENDENT DATA SET
HAH
AMA
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1*34
747
502
09
15
J OP
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2031
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15295
4*47
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1144
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SESE.IIN
234.3
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1*30
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1*11
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110*2
13972
10020
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2341
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GCOA.IIN
1132.4
100*0
2120.0
1*3*
307
705
1*5
4*2
2002
4303
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11945
1007*
5100
193*
744
43*7.2
500.OIN
1*93.2
1777.0
2120 0
1*40
302
224
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4*2
1075
4145
9*2?
1130*
104*9
4**5
1917
740
4593.4
1*41
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345
2*3
2*3
23*
470
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20*0
1073
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323
221
207
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1074
4302
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11750
10020
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4347.3
INDEPENDENT GAUGES
19*3
2330
45*
501
13*0
3**1
2500
*003
9919
13491
9709
♦552
1024
5904.0
TOTAL NAW •
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1*44
70S
431
425
754
70*
1050
91*7
7*00
7275
•017
1474
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TOTAL AMA -
3230.0 «4
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311
117
201
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10379
407*
1902
730
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2100.4
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440
3*2
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775
3017
5034
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1*47
910
201
254
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1044
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4414
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3310.2
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1*40 *77 33* 24$ 255 17* 314 4554 11251 0*31 7*95 3044 1070 3*04.4
1*4* *♦0 341 2*1 505 104 40* • 331 11340 057* 7*2* 1*1* 1050 3*93 0
1*30 550 340 312 2*7 4*7 2279 40*5 9717 19079 *772 2545 mi 4110 0
1*51 140 71 IOS 117 195 1534 9425 44*3 4*3* 1*35 •42 454 1*52 4
1*52 2*5 70S 19* 47* 10*0 4251 *020 11*41 104** 5117 1*54 705 4*73 4
1*53 001 027 55 171 1555 4111 10*0! 13917 10154 *05* 2407 1034 9409 4
1*54 730 504 471 174 •51 104* 0043 11931 12021 10393 2204 ooo 9232.*
1953 2434 502 774 139* 3702 2*47 >333 *♦34 14130 9979 44*5 1037 •134.3
1*54 11017 431 271 757 •90 2007 4*9* 7*14 77*3 45*2 13*0 •73 31*1■4
1*57 :2454 4*3 434 1453 1074 24*3 •591 9*93 144*7 10424 4*20 1*40 *3*2.9
AMA • *722.0 ««
PAP • 1*70.0 «a/pa*r
UTECHT > 1.4754
fUIB • 4515 1 HCN/VMr
Table B9-13
1*50
240
4*3
510
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1170
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4*70
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1043*
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2*91
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4101.0
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411
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145
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32305
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mi 7* T U j I T1 uo 134’ lOOf IM< 114 bl4 b4« 44B.5
nil 70 41 44 HI 4 Ml IB4* nit irrt MtJ 1207 14 1 III
HPT. I
ITS) LTF MO o Tt IT* Ltoi T«3C Mil N«l !■» WJ ZM ljul.0
ITS*
l»4 114 2*
Til Jill 7«J ]«* TIBI Ml 1*1 MIT t
8
|M *» UT IM It* •«> 411 1U4 M50 )3T4 Tin 111* 411 1154. •
l*M 71* ml « IT J ** 447 b!4S LMI JoJO LOTI HI Lfb 177 1
Table B9 -U
1 irtJ **> ■ n i« 371 All <M 7440 lilt 14 M M41 bH4 46* PU 33 HI IT IM |T4 IT* 1 )•• ITU 1)11 urn Hj ri*
Ifffl.*
10*1 1
!•
■
HOL IT* 711 M Hb il* ♦41 |4)» itif Ort! ■ IFF ibbF Of 1 ■ TH. 3 l**t n 111 1* lb 1)3 1 IM 1414 NI? IIP* NN 7*1 14* 1)11.0
l**T 111 in IM rt-4 •fl 4LL L J Il f nio PT4 J««1 4171 *44 no* ■ LT** IK N* 44 1 07 1)7 • 11 IfU DM I Fl* 4«1 IDS’ tl4 1 FOT • o
ij ’ • L IHt U u 74 *4 101 Jit IM* IE Ji IT4* ITU S4T ja*
|*M ill OS TH 142 4)b IDF? UM J4JE 14W UN *M 701 III? o 1**7 IM m or It* lit M4 L*LQ lit* 4M1 4«T1 ■ MT 14) 1 IM 2
I K ill OlT JJW JIM 11*4 III 171 114 * L»*l 1*0 L2I XI
IfW IT* III IB) *J Ilf BIT IN ion 3 MO IXH IH 04 TTO . ?
***T lh 4« 14 43
H*a 114 IS )■ II
IM JOTJ nil II to IH* 1*4 IM IKM It 11 IMF nit HOT 3 DOT 4T4 2*4 kQ4)P
I* It 7* lit
n 11 »b Htl Jill Nil 3J4F rm FH-* TUI b)40.L
l*F| t*l bbl Its ]4t TIB S»P Uli IN* 1»1
MW 440 l*f • »
lOlf.l
ITl> LIT 4T 41 0* TH ♦T4 till 11*1 3204 lit* )■* ISO itW ■ it Fl 1W SF 7 174 *»■ MH MOO TH) TFTJ Jii* «* ill JZ»z.*
IT?) W b„ *♦ IM ni Ml bFll |TM i’ll bTTI *70 »l IB4U Li I’M 102 IT* IK |bB Ml TiJ ILT? 2114 Nil in Fbl J Fl I074.F
|0H >0* SF T 7» 114 TT4 bM3 ZIJT H11 4M *1? Ht
rj 40 w w un hit 4LL4 1TI4 *li 3&t bb*®.l
LT Fl PL fl •• Ml 01T IBM Till nN 1*1 F >171 ■ M Ml
1*77 lit DI
PTT Mt b 10 *4 If If*
MOT ill) FSM LUO 1LM IS*
It*3 I
Frt.f
l»M 4T 41 *» ■ H 4I« ion 74IF 1T4J MIO LLH UO IT* 1141.4
|HI
n TB M LFfl MJ lira |IOT 1741 l®M 1*0 11* 1*-Ki 4
IM2 Hl IM IB* 14 IT? TFl un ITJO mi UM
lol m. h
GE0A.DM 6-2A-Q6 4;>lp
1 or lim
30
21
22
21
51
III
320 414 548
431
172
71
222.3
HYOADLDGICAL VEAOS 5TAATING JANUAA*
1414
37
21
21
140
$5
110
421 455 441
194
84
58
222.3
24
14
14
31
101
144
401 412 545
323
130
74
235.4
I98i
40
25
24
22
21
117
274 357 447
244
»5
41
174.5
1917
24
14
20
24
4B
174
345 464 474
457
215
43
231.4
ini
52
31
37
II
71
2M
331 540 334
424
231
■2
245 0
1499
51
31
34
44
n
144
341 555 531
342
134
130
251.4
1490
55
43
2
24
44
214
338 431 434
431
153
68
245.7
1441
47
23
17
52
100
109
355 538 530
ISO
150
73
244 7
1942
34
24
24
34
44
111
353
482 418
570
224
107
274.4
1443
54
47
21
11
70
334
544
474 510
110
150
71
274.4
AVE. 4B 34 37 54 45 203 341 442 470 354 144 74 234.7
SDEV 21 25 35 44 77 43 77 13 127 120 fl 24
INXFTNMMT DATA SIT
pa» ME A aaf
hch K.ka ■■
btroblR 1004 3 1420.0 2140.0
IMOTFINDENT CAUCfS
TOTAL PM • I0M.3 ncn
TOTAL MEA ■ 1420.0 •A.l«
AAfAL HAF • 2140.0 M/v«*r
XFCHMNT KCOF0
AAEA •
147.0
• «
W•
2040 0
■■/vtar
W4I6MT •
0.2141
PM •
214.7
ncn/H*
Table 89-75I
«* ■■
••
If*
ai
•>
»ti
»Tl
■ ■1
>11
IV)
in
j di
IBMI
bp
■«
ir»>
ir»
111
TP
ini
IHl
1 PM TflJi jf» M 711 IW *21 7W2 IMi flJ7
l»l
•
r *|17 i!2i ??♦ 2«B2 3
im ui 47 44 III l*Ji 14J ITJO I*M 1 JTW IMF 2*7 TH 322*.3
jiiu «>i JOI 2JF >44 IlM MJ 24*4 1770
M*2 11*2 P24
I Mi 2N IM t I* 5M 250 J 42*1 1101 ♦Mt 7031 377 37J 7O*r * mz M3 IF» Ml Ml 1471 reu MOO J4*S 9 213 M0« 1BII TO* 2311 *
I MJ 325 ill « *0 11 M 14*5 4277 3144 3*17 ftf 370 14*9.5 nj< II 4 a 11 11 nr 4» BOB 10* 157 03 40 214 * IMK 7F* l« 0 SB 32B >i*i *111 M45 J0*1 2JP7 •3* 241 2034.0
IF30 m IM il 3 IM JH Hl 3130 WT7 17*1 025 424 UM, I IMF Fl 11 IF M IDS 71* M*0 Mill JJJ1 TIP 227 195 1 UM JM IM « IF ♦■7 MH 4144 Bill 40>J« JolJ 14* 3*0 7D4F.0
wot IM 144 M III 421 KOI 3741 1111 4»3 2437 ■14 lib 1*13 .1 HEM ]*■» •7 4t 111 401 TH lOj> 1011 1*3* 12B4 452 I9L
1111 104 >1 70 1*0 741 10*54 344* 4114 *M4 t**a 014 It*
iifi.a
LM«Flt<D|iOr P*T4 KI
MH.klm
IW IW 71 or 171 77 7 l5T2 WH 437* 3BH 1777 *24 210 I73F-7
im 173 111 ■4 •• 41 M 1*21 *M* lllf M74 721 IB* 14*1.5
i*+i 104 7t JO 17* 7*1 1*4$ 1*71 Oil* 4021 M» 012 707 I7W4.O
mb Em nw
ncn M.blB ■a
iBoaa TI70.0
im M3 Mt 224 SM till
111 JIM mi 11H 2441 1741 •M nn.s
IMMFEH3CHI t*W-ES
I010L HM . 1*11 4 wen
10*4
117
L4S
IS*
■4
771
mr
mi
WM
3202
2472
>11
it*
1307.4
10T4L MA .
boo*.*
04-kB
|M1
IM
71
»• 117*
731
ioi>
3«4
412*
7*49
I PT*
¥41
3«l
ItOl.O
MOO*. W -
1170 0
IM*
1H
IV lit
••
771
iim
l*?4
Mil
2*M
34*4
530
36k
11*1 4
1447
111
47
B*
ISO
1 BI
*41
im
3*14
3312
MB*
7*5
211
17/0.7
MFEHMHT MEOW
|MI
JT1
ITS
u
11
*7
FT
J47O
4121
3177
2T71
731
30*
I90S.D
MM -
iJJP.e
■ O-Mi
i*a 13* ■I M «J 17 14 77 *21* Hfc* 1*1 b 71* l»* lom.o
I»!9 JM ur ii>
w ill SO4 I7«* 7*tb 41 23 MSF rs* 4*3 Jiva.■
mi i* 1< it 14 tor 557 MIT LSH Mil GOJ ja* IB4 4 *1.4 IM7 1D4 14 4* IM 71S 1*31 JIM 4*41 11*4 1*0* Hl 241 blip •
boll r»4 IM 0 11 1«l J440 4J*1 Blit <•)* 1*23 ■ FJ 111 Mil .4 11*4 2U 111 ■ fl 41 ZZZ li?o 11»7 4M* 4S * D )*>• 111 7*7 1074.0 mi ♦H 111 111 Ml IM* OIF 1144 Mil 1M4 3FTI Mui • 01 3117.■
mt IM HI »* fl xt» *41 1MI JFI* 3039 1 *1 k *41 314 LI4J.4 1®*? HI 113 114 *** 1SI4 T7> J«B9 1770 ♦sib XFTl IB*1 Pl* 3»o,e
!«■ 11 111 IM in HD kl*0 Hi* 7W •OF* 3*rr ItlF Mi IBOt-2 b*l* 11 II 103 14 i« MB 1444 naa 44*1 4.1*1 I TOO ill 33 L IB45M
111 111 I* •i 41 IT ta»« «>40 111* 30»< 1*3 IM 1190.4 111 111 M 17* 20 3 M* 1130 1T2I IHT *S44 ill* ■11 3*13rl
1141 111 ill K 11 19* 177* 31 >1 4091 MP* 1104 no ■ til >02 k I
W* - 213a.a
01 LOHT ■ 1 .MM
MB - I4T7 1 M='W afcr
tt
Table B9-16
1*41 111 111 lit ■31 1*13 0k4 14*4 111* 5LH 34*1 1754
iisa.a
11*1 i obo 4 IB n 21A IM Ml I7M HU e*vo *111 IMI Hi 75*1.1
|l*| M *4 III M 111 41* 70*4 IMS )pj* 3H7 ■lb 100 1341 4
I*** IS* W IM 111 *14 Hit 3010 4MB MUI ItM *M til
lOlt 1
L4o1 *Ti Ml !♦& Ml io? HI J40F «lM nn
■ Ml ■ HI J4IF.1
IM 14* Hl H 1 IM 119 Oil 1*11 Bill Ml* ■O1 OIF 1309 4 1*44 ]'» 111 27i IM M> 1211 IHl mi 1204 1070 m !>• | 1 U 1
LTF» lit »>• P* 11 1H I7*l 3141 4 oik SOM ms 117) ■ ♦1 2»l ■ im aw IH 111 SI* uh HM4 7 I’l 1*14 Mil ItM loot *40 TI7P.3
1 Ml 194 W IO 1II
111* IP** 4141 IMP IM* TIT 14 F 1*3* F
* lira ivi 101 91 TO on 1 IMF 114* m» 4MO MOI ♦or 113 1*41 ■
UM HI M 10 M* TM MM **H kilt M 1 >« IM ITB MO UM >M« t*l«
*■» ***J Mil no KJ 1431.*
1 «QFO IM* mi* 101
its*.)
1 irM ivv m
■ |k>T in r
hfh n«
in
IM ill •*M 11*0 M«f «M| MM 1101 10*4 4fll IBM. *
III M1 Lir 444 IT04 Mil 1 *140 IM* Oil 4»F D0« F
tP 111 ■ III 011 1*4* 11*1 «lk* Mb F 13*4 441 ITO HIM
1 im wi IK 14 74 111 4*0 1111 l*H >044
’ iHA ill
ITBt Ilf
1 IHl 1« |w HF
PI Mi iw >ri 140* uh mb* uri
Bl IM 411 114 *FI 1411 OH mi
IF m mi I**1 file 1741
l«l ♦ M 310 bkfflJ.*
IM* on 14Q, |IJ0 ■
1 mi ■** 10* 1ol».■
nap ♦ 10 OU IIB5.7
*••• i Sri!
|
<14,11.|2<I5.A>.79.D
1953
49
1954 22
1955 44
30
10
10
10
22
7
107
142
10
25
49
71
207.4
234.2
IMDERENOENT DATA OCT
]
1954
52
M
34
22
22
133
42
329.9
0(0
AREA
a*. fan
1957
54
17
172
22
15
52
244.1
M03.BJN
12 f
241
104.0
1955
34
n
1$
15
44
104.0
7HO4.1IM
” 0
5J.0
155
74
HAR
2150.0
7020.0
1959
52
25
12
17
273.0
1
1940
49
27
12
209
15
71
205.0
1941
37
17
IS
32
114
49
318.1
1 1942 49 2$ 12 17
I 1941 42 10 10 22
1944 54 17 22 15
ZS8 79 341.3
212 71 204 8
135 <2 120.9
!MCEPEMD£HT GAUGES
TOTAL HM • 111,7 HOI
TOTAL AREA • 159.0 90.to
1945
14
27
15
10
244
49
J09.0
AREAL AAA a 2104.7 M/yvar
1944
44
34
20
20
157
57
282.4
1947
41
17
25
25
147
79
414.5
OEPENMNT RECORD
1941
49
27
12
15
130
71
304 0
AREA •
443.0 m.U
1949
57
34
20
IS
111
44
310.4
HAR •
1*0.0 AR/W
1970
34
27
IS
20
101
49
344 I
WEIGHT • 1.4599
1 1971
42
20
22
17
177
49
101. ■
AAA • 774.7 AC/Vy r
Wt
1971
22
11
12
0
no
44
210.7
I 1973
49
30
20
22
ITS
57
140 5
1974
99
27
13
15
109
49
291 5
1975
75
12
10
22
212
04
240.1
1974
44
25
10
15
109
91
249 2
1977
12
12
IS
5
170
49
253 4
1971
27
30
27
145
04
224 1
Table 89-17
1979
17
n
41
25
12
74
01
278.5
, 1**
34
20
20
2$
111
52
184.2
1981
>4
22
27
IS
145
100
251.7
1942
34
20
20
IS
125
41
201.2
I l»0J
29
22
22
IS
Hi
37
322.9
I9B4
n
11
12
1
142
71
195.4
1945
n
10
1
22
44
39
170.9
1944
JO
15
7
2
ISO
74
214.7
1907
n
10
12
11
101
47
141.4
I9«f
34
21
17
7
221
44
249.2
1949
20
27
12
54
300
04
m.o
1990
41
14
17
25
loo
110
IM 9
1991
70
11
15
41
24
32
348.0
i»»i
14
12
7
15
141
too
211.2
1991
57
10
20
19
202
21
o
224 44 117.4
143 40 274.7
99 19trjrr /ft •# MJ tn J trf < r r f
| * ■« >•#*. >73 JJT3I
mt w M* ■w ■W IF ■J 7Ji»T MH *«BJ rrjj l»J
bl»* »
lltl u
■ VBT m ■ ■ a k ■» a-b 1*
■ tu. ■ ■ l ■ » a i kA a * ■ 1 * ■ *« r **W. Ik*« 1 >k* <*» w* l a, •
■ 1*4 1 a,.* 111* *M tea a bM ■
/*/ / V/ /
# w nr jM
*■ ar a J JMi »*Jt /H# rrtr
*■
ma no Jv* lai * b M* b Ml Ibta *11* *4M w Ifc* IM hW+i.1
PAM |»i JZJ IJJ r* iff
IM# JJ M JI 37 Fk fj* Mt»
j jfjf M • • 44 J 44 4 FT J *4# IMJ 41-r.t
»«• ifU iJt • Sf 9*1 J/f* 3*13
' jfj/ j*/
r j* j« uf m>
di* « ro* im» Jiff *M7 *JJ* *■***
J»r* >j«i Nir Jlrt *** in IlTt.I
Jt M *4F ro* J*0 •34.1
344* 14?" “• j*t lall.■ *747 3711 7771 Ml Jit l*M. 1
7*+ «* iaj*.«
J Mt 44 i ai lb 1*0 »xa r*b ■ 1T» uaa
bkxx til 11* Mai .ta
ILt
i*« IH 1 L3 Ml 1*13 1*17 31+1 •111 Mil
•rt ata b*** 1
|«*l ITO *2 M 1 Vt lib • 14 m* Mat Mil **44 It* 311
tni
bill b!3 111 11 in IPO mti wrt *••? M«4 biot *4* *31 MIO 1
bill 341 LFP « t* Mt MP? 10*7 47 H 1**1 13M M4 »t LMB.J
r !•• |74 5H 3044 P*C* FIJI MBJ
1*13 Fit im ■
1 1 M* J ’J Al ■*
I** IF! «M Iff* lit! mi P+M 2<a »4 J J *I j
1 MJd to*
ITO 222 Wl J 404 WJ 2*23 WDf 5JJJ Mb* 1/MI • PJ
jnt.c*
ill. J4> bl* tl MJ J** ltll M»* l*1t 1HS ?*M Tl* 1*4
1UIM 111 ■ J tl bll 174 441 nt ♦*0 1*44 bi*3 *tn IP?
im,?
| PHI JH MJ 0 »» IM 2J21 J It? •■JJ JPPJ 1HJ on 144 I’M J
1 J MJ
iri
144
fit
114
P-lFt
Ml
TH4
3021
5001
MJJ
(•11
4M
IJkt.k
1 MJJ
JU
JJ5
?*
■4
J4
M
WF|
»7J
21JO
nn
on
JtJ
mi n
imdlpemeni non mi
■ar *ln
n*H AM 4
PI* tv ba
nil r
Ljrr.o
fw
■a
JL75JJ
J
.
1 J Pl* l< 4 r JO JI IM JM «*3 M4 44* OP 40 Ml. 1 1*15 244 174 e 54 tJF 22*0 M04 4PO1 M4IJ rrea PH no mi 5
1414 JTI Mi JO J 170 JM 01J H7> 9411 JkH 7*1 IM nu.n IMF *7 20 10 M 14* Til JFM 7I4P 71*0 IF* 111 124. 7
tun 271 1 Ft ■ 11 1+S
im 1777 ma ini KI Ml 10/0,4
J on It 7U 41 I4T Oil l»* MFI 4Ji5 IPS* 1701 oil J*P 1141.4
1**0 •1 44 OF |U *4* lilt 34« 4051 MIO 1*4* m 140 1442,1
104( »« IK /• 01 70 11 Jilt 1PH 7*00 1710 472 MO IMP, •
IW M 7a kfl 14* OM IMO MM 4ltT JP40 na? 911 241 10*7.1
IMJ l*» IM iM Mf nt 040 itri JMI *m na* |*fl lib 247* I
!•** lie ill
Ilk •4 Ml 1*0* IF4I 1*1/ 7110 3IH 4*1 Ml HFF.1
l*4i i? M 4J ill IH MW i«tr 4bi« 1404 1041 Sal 34J 1011.2
4 14* Jbt 13? 100 OS JM 1012 IT4J MM 1142 JW 4„ 104 1b Fl.a
104? 14* *3 flD bit 1 P4 *14 mi 1171 J047 144* 1*4 nt
Mill
m 1 L* ■ 4 II it 11 2M4 H|4 JTtl n*i MJ M* 1171.3 b*1* ni IL? ■ 0 ■5 3* n 210 L «71 JFM mo 441 J*r IM3.D 1 W mi in 1l» M 117 7+0 1*1 + JJil t*o? 112* •M *ro 1*71 B 1151 31 n » n 11 tit 1011 1*01 I*M 4*1 111 i*o • 11. t
HlMFlMMIbl MUCH
lUTkt Ma • 14*1.1 M«1
TOTAL MtA * lif/.d *4.1-
MttL rw - JIM,a M/tk*F
unioLki ucoao
AMA ■ MJG 0
nv a JL440 ■M/M+r
WCU.M ■ a.«/M
nu a M’J 1 Mhfrav
Lilt tJ M It LM •74 114* H42 4 Lil
!•/• K* r«*
11*3 771 IM H M 14P 7111 7*1 ■ * FM 3 Pt A no* ■ IO 340
IK* 3<T J®J 15* «□ NX 11*0 Mil +M7 111* ma 71* 111
lkll.4
I *37 *
Lilt ■
1 im vu IM lit MJ 11*1 •ti mi Mil **♦7 i*ri ita* *10 JbOf.J 1 Irt* >*4 lie •7 4« 741 *01 L1W Z97J tail 1*10 **3 3be batt.a
l«f ’M DC in Mt MOt 101 >111 1W 01J1 SOLI Illi •n 2230.0
Table B9-18
Ml* ** lit IM IM MJ IJ41 11?4 j*at nor J<0? 144 »* 1*5* LIT n 74 •7 Oil 15*1 JIM 4J04 0*14 IMF 114 JL1
I lib.*
IPII 0
IW m 131 14 If 11 ■1 ma *031 M0J IJM Ml IPO Llrl.k
IFtt cm in Tl Hi Mt • JO hit H*T ■JPl *n?a Itll P4» 1*34.0
Mil it* Lit 34 J» ill bIW 1*14 iaoi 4IIF no? MT* TB1 I47T,7
Mil
111 141 4 »• 1 111 ■ 41 Mil IMP 44H lHi lilt *11 itv* i
<»** »• 111 ■■ itH Ml •of 0107 »«« Mx» IMF 14 *P T4*
iita.a
L14* *4 M Ml ■• 1*1 **♦ iiLJ Mil 34M 1114 F*1 IH bilt.ll It** m to or IM Cl* I4»l 1411 ion M«1 HH *04 Ml IKl .1
HtP 14* 1^0 ii 111 111 *31 »ib nil ■ 401 *201 L»4 7BJ 1*01 1
IN4 M4 irt
jt
3 114 IM L>a JI17 ourc II1J K» IIP 13*4,4
M4« J** 114 fie Hi 111 ■ ■*1 LI.41 JPJI J17I Ilia Jbl nt L*>M 1
l»TG ■■3 IM 71 is 3>t I4l4 IFJI JPiP **?P IbM low *M b*4l 1
MIL an 114 FM 1H Llll ■ It 1|D?
*•14 JM1 1077 • H 1*11(0
nn JM Ft ♦ bit Ut bar* Uta J til 34M »** ■Ju 34| 1011,4 1173 l« it M to 941 LIU Uli 4111 0441 not Ml li« 11*4 3
| 1074 111
It 0 1*1 4*1 mii ««M on* M4* «»* 111 b*» 1141.7
M?t *0 HI 111 IM Ml 13*0 till MOI irio 1H4 •4J 3k* 1*41.1 itp* 141 iri bit 114 lit ilia 2174 344 P M'l 17*4 lit 3/1 mot
MF? Ml m 111 01 IFF 711 m* >*10 «IM noi 0*1 Oil IH! I !!?■ lit M •7 i*F Ml IHL >»!■ 111* IPJk 14b* t*J n* L?i4.a
itrt im in ■rt I* 1*1 ill im Iib4 IMO l*4| 4P* ib+
iriP-o
1 !*•* M <■ •1 1*1 nt 1Mb Mil *001 »■■ lilt »■ 211 mt.» M« 111 *1 •• 01 zi* 041 1**7 Mil OJJT J**0 +13 |7| 1011.0
L 1*«J J71
lit b*T ■1 311 ion 17/2 J* Ft 31 *4 TIFF •■1 Mt 1114.1
NUtO.QAM 6-2A-P6
1 ar 1INFLOW 30 K<0 DM1 FROH IIIUN 8 BEG HtOmOCKM. 7CM5 STARTING IAMMR*
(to.H.12<15.A) .M.»
1410 ISO ISO 170 128 347
403 423 1010 725 447 540 342
1421 213 100 105 750 607 430 700 734 177
454 357
1422 213 140 105 758 012 430 700 734 984 404 454 357
541 8
421.7
423 4
1423 372 280 25* 575 773
1130 724 404 474 415 $44 382 474.4
1420 260 148 183 256 202 172 454 430 478 478 515 430 414 4 1025 177 285 250 585 787 1155 744 418 441 425 540 384
1020 304 201 304 301 750 1024 747
1024 783 517 401
755 5
1821 J04 250 384 382 730 1005 771 874 1000
1028 836 554 200 484 754
575 841 1285
•02
741 502 341 737.4
1042 522 237 047 1
i
1420 184 130 170 128 34? 443 423 1024 724 452 540 347 543 2
1030 021 544 240 474 734 570 824 1244 787 1072 512 227 832 8
mi 314 241 304 344 758 1034 807 703 1034 702 522 404 7*2.8
1083 382 285 241 504 702 1164 740 623 406 430 5*5 301 *03.2
1084 217 140 145 748 824 440 715 740 808 *18 4*4 3*2 *34.3
1085 342 275 251 565 754 1106 710 504 662 40* 534 372 *50.4
I486 348 251 242 310 200 450 540 527 580 585 725 541 544.4
1087 341 244 237 114 205 454 556 522 585 5S0 715 531 337 * 1088 11* 517 24* 647 *8* 460 804 1251 870 1183 $22 231 BJ*.2
1480 1BG 110 174 324 420 544 476 1104 ?7B •71 541 377 503.2
10?0 318 304 4 40 435 812 1126 730 012 037 *01 512 377 7*4.2
1H1 203 III 155 707 826 ♦01 710 720 003 5*5 433 377 620.2
tow 184 153 144 232 *84 357 •21 027 734 12** 517 377 442.0
1993 347 275 251 570 743 1121 720 500 667 411 541 J77 4*4.1
AVE. 344 241 251 521 645 707 71S I2J 706 6R7 520 370 460.2
KIEV 212 138 00 187 202 314 117 264 1*4 243 48 71
ton 812 541 285 447 725 540
814 1244 778 1058 SO? 227 821.7
1011 211 140 145 740 002 430 700 73* •74 404 454 157 420.2
1034 208 155 145 m 174 275 343 124 1ST 157 415 324 328.8
1035 304 241 301 304 740 1024 702 no 1014 778 507 304 748.7 1034 148 III 155 787 814 344 700 710 •74 540 •30 172 413.0
ion 324 232 222 MO 280
MO
527 418 SSI 551 4 74 502 SOO |
1738 100 241 304 301 754 1034 707 ■08 1020 781 517 444 >57.4
1030 182 285 241 504 702 1144 740 421 40ft 430 549 301 403.2
1040 172 280 2M 580 778 1145 734 413 481 415 551 382 478.7
1441 211 140 145 744 •02 430 404 720 • 74 500 440 357 418.3
INDEPENDENT DATA SET
2WIS.8IN
ZHIft.OJN
HAD AREA AAR ncA 14.la M
33 1 220.0 2120-0 105.5 125 0 2040.0
1*42 382
285
241
544
742
1144
740
421
444
425
545
301
402.7
1443 328
780
420
415
742
1087
041
047
1082
■24
54ft
420
MO 5
INMFEMXH1 CAUM5
1444 188
135
174
338
377
502
433
1030
737
457
570
171
372.7
TOTAL AAR • 
138.5 nCH
1445 377
280
754
585
787
1155
744
411
•04
420
554
104
*85 0
TOTAL MEA ■
345.0 M.ta
18*4 184
131
170
111
377
413
1030
730
<51
570
332
572.4
MEAL haR
2041 0 aa/yair
1447 184
130
170
328
502
443
3*2
140
145
754
34?
807
• 23
1010
725
447
5*0
5*1.1
1048 113
410
700
714
874
454
757
421.7
DEPENDENT RECORD
1040 213
140
141
7 50
812
430
700
714
414
33?
421 4
AREA •
1815.0 ftO.la
IOSO 372
200
H*
SIS
773
1110
714
• 74
415
54ft
382
♦ 74,4
NAP •
1420.0 aa/vaar
t?ii 100
100
Ml
25*
241
372
<54
410
4 78
478
430
43*.ft
KIGHT ■
0.8308
377
285
25*
5 as
187
1155
744
410
♦01
425
9*0
38*
•Oft ?
HAR •
•*•2 ncn/yftir
1053
314
241
304
301
350
1030
80?
0?8
1034
787
111
40*
7*0 1
1454
Ml
75ft
lift
187
134
1005
no
■74
1000
7*3
302
301
737.4
1453
807
53ft
as
♦47
729
IW
012
1241
773
IOM
582
221
818 0
1454
348
251
241
114
205
444
MS
531
504
580
710
541
547.3
1447
an
54ft
240
♦7ft
734
570
82*
12*4
787
1072
512
>17
•12.0
I >54
174
241
710
10*
713
017
114
1 ISO
522
177
*4| 9
Table B9-19
201
l«4
1444
JtS
24ft
372
3ft?
70S
754
•41
734
483
Ml
712 0
14ft© 111
l«ftl 874
140 141 7M 812
♦ 34 703
714
♦ 07 434
351
♦15.ft
IM 304 TTO >83 544
87? 1341
•1ft 1140 S4ft 242 ae« 3
V?ft2 30? 1*1 241 744 1014 741 1014
771 50? 14ft 7<8. 7
1413 tfti
317
IITI 301
•to
370
♦57 •54
Til 1?4
HI 1143 •43
24ft
1*4 341 307
in
734
Ml
174
• ••
■ ift
17*4
114*
Hl
IM 1124 •1ft 217 • r> •
T?1
177
I
A
l?*4
1445
• ?*
\ ’4ft
til
> ft*
\I
\’
rt X.
\\
* <*•
*•«
•ft*
«««
•I•
IiMttfriuoiflr uuees
ISTta. HM •
44 I
"CH
raiAL AMA •
pv.i
•I*-
MH.AL NF «
iviv a
M J- WM-
P
toiPlMBfeNT 4CEUM
A Mt A - • ft. a 14 tf nur - iNia.D ■UrW
LViCMr - i. uro
iwi • i-f .1 "CIVrt«r
INS*
Ju It IM Mi l»ii MD* Hr? It? Ml LI7 ■* 144. I
J MS ■i 41 41 ■ 1 tit* •15 Tel ill 301 ?*n IIS IV*
in .4
I'M* #1 11 «S ■ 1 3M in rw • Ji Ml !»□ bVS LW 111 .1
Table B9-20
IKT
71
II
■1
iw
11
IB*
44V
1P 7
101
IS*
LT?
LSI
Til 1
1*M
LlP
|4
fa
»
lb?
US
u\
1H
l4l
111
Ilf
32
1*1. J
im
11
it
ai
J»1
TVI
T|4
IH
1TJ
TO L
IN4
H
no* r
1 S**D
14
J«
jj
VI
111
3X1
Aft
**t
11#
w*
111
Vi
lit. P
IfNI
n
rn
ai
■ ee
fail
IJb«
UH
• Ilf
774
TIB
til
if
Ml. 4
Urt
S3
Fl
1*
*1
LU
feO-L
7«
iMD
IM
HI
J 41
*p
441.4
imi
71
?*
rt
It
if*
Mil
• 41
LJVJ
IM
■ IS
LU
TJ
4fl,T
mi
IV
>■
if
i«st
4W
ttM£
1*44
LIVfl
113
HI
ill
HI
JM 1
UH
to
4.7
ill
*P
Ilf
VS*
fl*
114
4M
IM
*1
II
Jib. J
11*4 vb 1* IT
3d-» DM 1ST ■ IV
Ml 1 M + IM ■ T«. ■
1>*T Hl *P btv ■ «>■ >11
311 ■ 11 fl* IN* l»N 141. ■
l«R* 11? Vi m Bl ill fell ■n lrt 143 t/J |E0 71
1*1 j
■4 fl LIT Pi 114 til fit 1*1 1lt JO* •1 If T»* J L1TP ll 71 *4 m Ilf L2SB im bill VP4 ill m IDO *11.0
IMS 31 31 fl bVl VI ibi Mu 141 m INI LM Ml JM 1
i*ra If U 1* •V* *rl UN in 304 ■ ST 131
fl
IK|
If Pl II vi 11* ■.k LIT 11a Mi 444 Nil 1 ** *1 i ■ »•! 4
IFt* 1* PI 31 PV ra« IH IM >»■ HL 11V 171 jf
|f*V it IB 41 IV
>11 INI ■ lie rrt Idrt 4 VB ii
UP* M. 1» 1* ■1 in •VI »« ur 4M »•« 101 1.00
Ml. 4
■44 V
fit 1
1
Itll
11
if
VI
**
3*4
711
bt«
t*t
hta
41*
M
n
111 4
'l im
•l
«i
11
111
lit
lid
fit
■ »i
tor
JiJ
f«
9ak
1’V 1
1 Ltft
■1
II
|V
117
SkE
IM
Ilf
1| T
l«1
LiN
LLl
IIW
1.11.1
IFV»
11
JU
U
,■1
IM
ftD
iU
Sid
1+»
I'M
L44
IB
□ 44 3
1114
At
fl
11
TI
LBV
3LJ
t*v
bVtl
?Vl
Ml
m
NT,
f3O. f
im
14
41
£1
Bl
l.«
It*
un
371
3 4«
1«
151
«
1U.I
tCMUU.GMN 1-1-90 1:49a
Pfiflu I uf 11*03
24
17
17
17
41
*4
254
331 434
343
137
50
174.7
l*0«
2*
17
17
151
44
143
340
342 3*4
IM
47
44
174 7
114.11 .12U5J
,09.11
1*85
23
13
11
25
04
158
31*
383 433
237
103
60
187.1
1020 M
I*
n
17
31
12*
240
342 151 114
•4
40
144.2
1*84
12
20
23
17
17
*1
218
204 355
214
74
N
130.4
1*21 2*
17
17
17
41
*4
254
331 434 343
137
58
174.7
1*07
21
13
14
21
30
140
2*0
J70 378
343
171
74
10* 5
1*22 2* 17 1? 151 44 43 340 342 1*4 154 47 44 174.7
ins w 11 11 25 ■4 150 31* 303 433 257 103 40 107.1
l*|4 12 20 23 17 17 *3 210 204 155 214 74 30 130.4
1425 11 13 14 21 10 140 2*0 370 170 341 111 74 II*.5
1*24 *1 24 2* 14 54 227 243 434 212 401 104 45 203.0
1*27 41 25 17 37 54 134 207 441 428 112 III 103 200.1
1*2* 22 14 15 44 III 234 411 4H 425 200 120 41 222.7
1*2* 31 12 21 41 84 IM 2*3 420 1*4 205 45 48 144.3 1*30 r* 23 I* 31 7* 145 201 303 4*1 453 110 85 21*.* 1*31 47 37 7* 07 214 24* 450 304 250 104 44 42 205.4 1*32 40 40 74 130 17 •5 111 314 442 3*4 174 *0 217.7 1*33 33 23 4 4 2* 151 20* 450 JO* 253 M <4 175.0 1*34 31 11 32 17 40 112 111 241 333 124 32 4 114.2 1*35 21 1 II 7 3* 104 327 421 4*0 350 124 40 203.0 1*34 24 * 4 4 24 ♦4 272 351 401 32* 145 40 174.4
IW 35 11 4 15 44 122 247 340 34| 140 III 41 113.0
1*3* 2$ 3 2 4 0* 141 310 4»C 4H 1*2 10* 43 204.4
1*3* 25 II 12 10 *1 140 242 414 4*5 J07 ♦2 45 1*1.4
1*40 21 27 II IB 5* III 271 2*4 474 314 I JO 40 107.*
1*41 34 23 10 13 73 104 255 354 35* 204 150 44 175.0
1*42 33 20 to 14 24 111 242 317 4*2 152 140 *0 1*1.0
1*43 41 21 17 30 10* ill 320 3*9 3*2 3*4 130 82 213.0
1*44 45 34 22 22 5* 135 207 J 20 315 212 *0 48 144 1
1*08 41 26 2* 14 54 227 243 434 244 4*11 104 45 210 4 1*0* 41 25 27 37 54 134 207 441 420 312 III 103 200 1 1**0 47 14 2 21 3* 170 24* 502 504 140 12? 54 211.2 l**l 33 10 21 41 84 ISO 282 420 421 302 II* 50 1*4.1 l**2 2* 23 I* 31 7* 145 201 383 4*1 453 180 65 21*.* l**3 47 37 17 25 54 74* 450 377 42J TO? II* 42 210.2
AVt. JI 27 2* 44 74 141 287 147 373 283 118 41 104.4 SMV 14 20 21 SO 41 50 41 44 101 *5 41 1*
INOtPEWfT DATA SET
USE . BIN
MAA AMA HAA ncn M.»a aa 234.7 367.0 2040.0
1*45 10 20 IB » 10* 111 332 424 >51 245 *1 51
II*.4
1*44 11 17 21 11 54 122 223 347 441 240 03 30 144.0
1*47 n 1* 21 17 31 12* 140 342 351 314 *4 40 144.1
1*40 24 17 17 17 41 *4 254 111 414 >43 137 50 174.2
1*4* 2* 17 17 151 44 143 J 40 341 1*4 IM 47 44 174.7
1*50 21 IS II 25 •4 150 11* 301 433 157 101 40 187.1 i 1*51 31 >0 13 17 17 •3 210 204 355 214 74 30 IN.4
1*52 11 13 it 21 10 KO 2*0 170 370 143 171 74 18*. 1 iOM 41 34 l* 14 54 227 143 414 m 403 104 4V 104.2
' 1*34 41 n 17 17 54 134 207 441 420 111 Hl 103 200. I
; 1*55 47 34 II 11 3* 170 14* 502 404 340 111 54 217 0
1*54 33 to 21 41 04 1*4 JOO 420 134 2*4 70 41 141.3
1*57 2* 23 1* 11 7* 145 201 JOI 4*1 453 IM 0* 11*.7
1 l*M 70 44 01 II* 124 2*7 343 14* 1*4 174 70 01 100 .4 1*5* 74 n tOl 111 M7 too 347 240 1*4 142 *4 42 1*4.0
1*40 40 7* 71 IM 140 111 n* 125 144 120 101 75 177.4
INXPfNMMT GAUGE!
total n/m • 234.7 ncn
TOTAL AMA • 347.0 to.ka
MEAL HM • 2060.0 aa/voar
orafwcrNT mcoao
AMA • J78.0 aa.la
HM • 15*0.0 aa/year
UffCMT • 0.7*50
RM > 1*4.6 ntfl/yaw
Table B9-21
1
1*41
41
01
*<
111
in
1*4 in
155
207
I**
115
75
211.1
1
1*42
40
40
*2
145
351
lit 111
301
IM
134
•4
44
M> 4
4■« c
HIM
I ■JM..T
LrtHU .D
rjjj
Mt JU
fWF air M« m; P4J »JS jrllj «*«j
*11O n/J &H« J?W im
J 741. I
if/rf
im in jjj mt imi •**/ rm
1 Mil UM ifii 111 4il 1 J Off 3«a4 41 #7 5»« TMJD fFfl I trfl 1177 tfj •JI Fttf MlI IfM JMl 4/1J «■«
*jm ira 1 *71 J14J. 1
1941 IBIS 1*74 1
l 5 J 5* mi IM« im. r
If 74 J 20* •rr H* tu 15/4 TWJ t w •■14 **M »rl Nil 1141
jri* •
UBV IIM NJ 7*4 J4li I TI7O Hit »U4 4H7 4OJO TOM im 7144.7
*M0 0
1410 0 Mlvitr
1 Illi
(HI
1 104
Ml
543
II«
3M7
•111
Till
rtiH
•IS*
!•■*
1410
J74».l
3444.9 HCrVvw
I«Z
f»
*41
111*
54*
70S
IHJ
HJt
MFI
*|U
IMI
K*
WOI.I
IM)
■ 14
MJ
JU
JIJ
< Si
•n
MO J
5 BN
7*J*
Nil
IM*
IKB
irai.i
INI
F44
WT
1ST
3M
>V
TfllF
♦IM
*107
FfLH
fill
ion
711
15*1.4
IMS
4«
XT*
nt
JTD
ni
mr
sjit
az j j
mi
hm
t»1
in*, i
| ivm
4M
<M
401
nr
114
Ml
Mil
44»
nw
INI
JIM
14*2
1»M.2
iwr 41* 1FJ JU Ml Ml »?•* <WF IB** mi 4«7* IMS ML JOTS * ' ’*■* ®rt Ml 1** 7*7 Ft® 1171 J<M ml MO J III* 1705 STM 14*4 1>
Table B9-22
♦M its ir> 537 Ftt 1510 ♦ill •MJ MM 4*54 III* IMI , f rlfl Ml iS» 157 377 Ilf 1720 T« Ji 14 71 7*1* mi 1711 lt*7
Jill.I
r»j* •
| IfTl 141 in ila 502 IIDT |W FOJJ Ml* 15liT J *04 TD4D l>|F 1HI-3
1 If IT Ml »ia fol n Mf I IW Jill 457J IMF? IftMt S4DI TIM mi
IBflJ.®
i i in i io«’,
(
[1
mf AM ih ISO JIM 4TM 4*41 j|» 51*4 1*74 If?® •034. 1
I *rt.
•If U1 in JQ» Ilf nil
?1*» TUI «l» TIM LJ*7 its* LSPf i kt» 1101 «>• 4*4
IKI
i mv jw JOI IM H4 14-1
I
BIIBfR-R.PAN 7-1-96 0:464
Pao« 1 of 14Tables
B9-] : Monthly Generated Flow at the I tang Dam
! Jb]' b9.2 : Monthly Generated Flow at the Gambella Dam Ale B9-3 Monthly Generated Flow at the Bonga Dam
;
59.4 ; Monthly Generated Flow at the Tams Dam Table B9-5 Monthly Generated Flow at the Abobo Dam
:
Tabic B9-6 : Monthly Generated Flow at the Chjru Dam
Table B9-7 - Monthly Generated Flow at the Mey Dam
Table B9-8 : Monthly Generated Flow at the Dumbong Dam Table B9-9 : Monthly Generated Flow at the Gilo-1 Dam
Table B9-10: Monthly Generated Flow at the Gilo-2 Dam
Tabic B9-11: Monthly Generated Flow at the Gilo-3 Dam
Table B9-12; Monthly Generated Flow at the Birbir Dam
Table B9-13: Monthly Generated Flow at the Geba Hydropower Table B9-14: Monthly Generated Flow at the Geba Dam
Table B9-15: Monthly Generated Flow at the Sese Dara
Table B9-I6: Monthly Generated Flow at the Sor Dam
Table B9-17: Monthly Generated Flow at the Gumero Dam Tabic B9-18; Monthly Generated Flow at the Bare Dam
Table B9-19: Monthly Generated Flow at the Beko Dam
Table B9-2O: Monthly Generated Flow at the Kashu Dam
Table B9-21: Monthly Generated Flow at the Saku Dara
table B9-22: Monthly Generated Flow at the Birbir Dam Site No?
TAMS-ULG Baro-Akobe Develop®^ IB - Appendix?i
R
Ia ■ ■■ 1 “«■ IB*
■ ■ a 45X “11 •.-- *■• *i r
■ aai.
♦ Mil 1«L mi »■■
i
« ‘‘Vb •
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J, “'
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l>a
itr
raa
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db>
a-M
k«M.a
i*aa
m
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bl*
IM
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1*44
llab
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i i»i
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1**3 11«* bin
*.*4
iliui '
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113
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1L01
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lit*
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bt*l
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IM
j on
1*1
bill
n**
71*1
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11 IO
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im.
Art *»» III 11*
lit
l«i ai% bin 1435 >*10 mi 410 4ji m IDS 414 304 in 714 123
tan.
SBKV 111 4* 1J 111
ttl MUI 2*40 3*44 ]|«l ie/1 Hl 1114.7
*71
ill*
«?*
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AIS
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1 III.»
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111
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111
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aif .0
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1191
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74 M
'■■
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1147 7
alt 1*40 IHI 73*3 ItM 111 *2i HH 1
HP J4W IMU 2110 UH Sil Ml »»/»
IIHf I*** 1117 11*1 J JIM* >•» Jail 1 ImJ 1
Ml |T*J 2*11 J*M Hili 2U1 <&» 1779.I
Mil
1111 lilt IH1 ♦U tM J4*3,l
422 i*M ion Ul» iiU Mi 101 1 LM.k
• F» HI Z*M 1414 1411 J DI 404 1744.1
HZ LUI 1411 11V Mil 1 103 Ml 11+1. I
lUBtl'l M* Nl llftll SI |
4MIU tf|»
IliDIPEAiMflf CMAtS
r—
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l/lk *
VMK
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M4J4.44
1408 D
'□IM flAB « 1114.4 Cn
*14 1104 iM] fill Uli U4 432
IMI J
rQlAL 40LA
MtflL
|i*l* 4 b«ii
• 1100 0 oUrtar
hllfl
1743
HM
i»u
IWk
Ilk
111
1131 1
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lUw
Hit
7714
1*03
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111
103*.a
BCPENMHr «irc*u
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155*
207*
3l«
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1*71
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»H
Ml
1141 l
utiEw* ■
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411 IM* 1341 >1*4 no] 1144 In ■ Hi a
nu • 1774.4 nt *!/*♦*-
11*
17*
314k
1*30
tin
m
LM
■ IDrH
1 UZ
1 Ua
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i«»»
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in
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113*
1113
ii*i
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•II
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7HK
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K»M
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11*1 1
TabLe B9-1
•74
la*l
Jal*
111*
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10*4
1*0
1*01.0
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III!
Iftl
IkM
1*1*
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bait,4
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aaii
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3001
1144
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l«*1 1
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1*25 1207
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1*11 2040 1443 410 214 1014 *«M 10110 202*0
1*14 2007 1)07 1*0* 1112 2407 0101 02*4 14341
1*15 1)44 507 722 450 1440 11585 20517 241*7 1*14 1450 575 Mt 233 1477 5*0* 170*4 21***
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1**4 I*** 104) 1324 000 1401 7404 1401) 21741
1*47 20*7 11*0 11*4 1024 7O5B •074 150*1 11*42
1*40 14*2 1043 1001 1041 25)5 5*00 15*01 20741
1*4* 1024 104) 1051 *4*0 2H0 *0)0 21115 72701
1*50 145) •oo 312 1550 517) ♦»44 2002* 24047 1*51 100* 1130 1443 1102 1041 Mil 1)701 17015
1*52 1207 •0* 1014 1)07 1410 *704 10204 2)104
ll**l 2474* 10*41 5444
24417 150*5 5402
2*04
20*17 >7*1
30775 21*40
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24412 24047
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210*2 14570 5444 3052
22047 15)00 5714
31*4
17731 14041
11077 1*4*0
17341 21541
52)7 21**
5070 1011
0542 1457
24044 *010 41*1 2077
171*2 Mil*
11331 1)4211
44*4 1123
4220 2411
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total hob • non 1 ncn
lorfe AREA • 21441 0 «• U
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DEPENDENT RECORD
AMA • 28740.0 «•.*•
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UflGMT • 0 *751
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21745 MOM 1*707 4411
1*11 710*
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1*44 1*41
14)05 14540 13112 11*17 Mill 11544 4105
•445 10011 17714 7*TM IWH 4*41 4475
14M IG410 MOM 11117 501*4 HNI
UM >411
1*54 2114 11)1 1145 2404 517J 12100 121(1 24015 *777 10470 <0*0 1*44 10110.4 1*57 1771 1424 11** l»4| 4*14 *127 17411 14014 1004) 21*15 11202 out 11000,1 1*50 41*1 4057 1170 7477 7*14 104*4 244*0 40410 11)57 11047 40*0 UM II115.0 1*5* 472* 4474 4411 0455 10022 112*1 1177* 1031* 11404 MOO 4020 100* >2217,4
1*44 1777 4*54 ♦W •777 10050 mu 4504* 10411 10454 oon 4411 4474 11141 1
i*M mi 5170 44 U 77M 41214 40470 1M71 21104 114*1 1244* 1474* 4474 14500,7
1*42 iru wn 17*5 IMM MOI* 4 4400 10170 40*1* 0*41 •431 4133 4057 41*4*7
1*41 5190 4441 •014 4 4047 ll*)l 1114* 11741 IM44 0541 0*14 103*4 4450 113*0.1 1*44 «M5 571* 3777 4020] *144 40077 2070* 14440 17)4* 10144 0141 51*5 441*0.0 4**1 571* 4*44 4400 *1*0 4OM4 100** 4449* 41441 12411 >440 •040 4317 1045* •
Table B9-2
IH4 *447 W»1
M*» 4MM IO4$4 4MM HIM 144441 14441 4 «M1 4447
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1422 1732 1010 1000 >022 2403 •554 20305 2154$ 21421 4314 3403 1H1 10545.1 1423 1300 140 4B5 1473 $104 ♦444 14027 22043 25015 15312 4144 3431 11144.4
1 1424 1400 IH4 1371 >047 1010 5530 13015 14451 21211 12754 4401 2247 1275.0 1 142$ tin 744 441 1241 2247 B144 172*5 12121 22554 21474 10171 4414 1IJO7 7
1424 2455 1S45 1741 B41 3371 13504 15720 24002 12444 20772 10440 3400 12157 I | 1427 2427 14B2 1412 2150 1343 •022 I7H4 24124 25511 10541 454$ 4151 11415 .7
1420 1343 004 ♦ 17 ?77O 4414 14000 24540 20444 15301 14474 7170 1440 11241 .7 1 1424 1010 1075 1247 2473 5104 11254 17434 25511 11405 17210 1407 ♦047 4004 4 * 1430 I4B4 1351 1134 1041 4704 •470 14724 77071 24111 27012 10710 5040 13104 4
■ 1431 2014 7232 4754 5230 13070 14043 24124 22424 14435 430$ 3054 3444 12172 1 1411 35M JSOO 4544 7744 I02B 5040 10454 10712 27540 21510 10341 $343 12474.4
1401 1417 1010 102(1 1010 24M 5*04 15102 14721 2544 3 20443 0113 34/4 10544.4 1404 1732 1010 1000 4022 2403 1554 20 305 21545 23421 4214 1403 2733 10545 J
IMS 1100 MO 405 1473 5104 4441 14027 22843 25835 15312 4144 3811 11144.4 1404 1400 1174 1371 1047 1010 5530 13015 14452 21213 12755 4403 22H 0275.0 1407 1221 744 443 1241 2247 ■144 17245 22121 22554 21474 10171 4414 11307.7
IM8 24SS 1545 1741 ■43 3372 13584 15720 24002 I50M 24440 10448 >400 12544.3 1404 2427 1402 1412 2158 3143 9022 17114 2*124 25511 18541 4545 4151 11035.7
IBM 7?M 3024 102 1273 2314 10143 11035 24434 30104 20787 7251 1242 12405.0 1441 2010 1075 1247 2473 $104 •474 14831 25511 25 ISO 10034 7105 3444 11703.2 1442 1404 1352 111* 104] 4 704 •470 14724 22071 24310 17012 10710 5040 13107.( 1441 2114 1231 1014 1454 1240 14043 24821 22473 2*150 1801* 7105 3444 13014.7
AVf 2204 1415 1744 2414 4511 •tn 171*1 2|40fi 22270 I4o;b 7045 3424 mil > S01V 474 1142 1453 1014 144J 2MI 1441 3450 4034 5404 2414 1140
14)1 14*5 HOt M* 222
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1430 1444 204 102 371 5 JOB •444 I B5|$ 2BIO7 74570 IMQ4 4404 2504 121440
1414 1473 440 723 411 5447 10014 14421 24740 24554 10/45 $404 2444 11417.*
IB40 1450 1421
1004 J$01 10412 441*1 17543 20151 14340 7701 1401 Hill J
1441 /111 1015 1151 4]>| 10440 1122* 21241 21444 UI»0
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1442 2010
1147 1112 B4J
1554 7457 14440 ?M>>2 21374 2I00B B511 5341 11144.4
1441 ZW 1151
177B 4475 10411 IBO73 2117$ 33344 21401 0207 ♦002 12704 4
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1444 1404 2IU 1114 1125 3524 •041 17114 14501 20034 13044 $302 2044 4411.7
144$ 1732 nil 1073 1402 4404 11123 IMIS 25437 20443 14417 3430 1010 11242 0
1444 1044 441 I2M 740 1211 7204 I3JII 20474 2414$ ISBM 4474 2274 4M2 4
1447 1442 1130 1321 on IBIS 7470 14340 10407 2O47J 10712 5174 7047 4741.3
1440 1417 1010 1020 1010 2400 $404 |$|07 14721 25443 20443 Bill MM 10544.4
1444 1731 1010 1000 ♦Oil 2401 mt 2010$ 11545 21421 4314 IMS 2711 10545 1
IMO 1100 740 40$ 1471 $104 4444 IM27 22041 2503$ 15312 4144 1411 111*4 .4
1451 1400 1174 nn >047 1010 $530 13011 14451 11313 17754 4401 2207 BIH 0
1*4J 1121 744 443 1241 2247 •344 12205 22111 12534 11474 10171 4411 11307 7
AAlAL HAB • 1450.0 ee/year
DI*(I<MN7 •(COAO
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1451 2455 1543 l>4| ■4] 1171 IIM1 15720 MOO? 11210 10772 104 M 7400
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1454 >417 1401 till >150 3143 0017 HUB 24224 >1511 IM4I 454$ Illi 1141$ 7
1455 27M 1024 4012 1123 mo 1014] MOM 14430 MOM 20707 ini 1141 12444 4
Table B9-4
1454 2010 1073 1747 2471 0104 11070 114*1 Mill IMF 17*44
44*3 3747 4423.1
1457 1404 1352 1114 1143 4 704 •470 14714 72*71 24310 2MI2 10710 5040 11104.4 IBM 4173 3054 4414 7103 2520 17754 1*421 lOMr II73O 1*513 4451 4473 10771 2 |t$B 4443 4440 4042 otn HUB 10724 10404 1**11 11044 043* 5710 1444 11424 7
|4*0 35M 4704 4700 4207 4434 12444 14244 1*410 4437 7434 4042 4440 10504 0
1441 3440 4414 son HU 12541 17544 22141 11140 11050 11045 14034 4440 1)707.1
|447 MM MM 33M M/1 3045 a 13044 1471* 17413 0114 OMt *03* MM IIOOI 4
1443 <414 MOI 7434 14511 11414 12111 30171 IMOO one 0»0» MM 4214 12724 4
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1445 *4$l 4433 MM 0701 »5M 1*144 10414 12444 11414 0*M HH 4120 1*172.4
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4454 ♦417 13370 14310 1*411 1*114 |MIF 4304 3441 lioir.o
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244
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144 1167 1154
2740 4410 1047 so# a 107? 2401 1121
5100 1571 2544 1175 2741.2
4202 7457 1550 1244 2054.0
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1017.0 10137.0
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4334 4147 4415 7244 1524
3475 1150 2450 1144 474
5024 4274 3745 2144 1501
IUDLF1N04NI DATA
mu oII*
iMOfFEMOEHT GAUGES
iotai han .
HAP
■■
1120.0
473
1445 411 Ml
1444 ♦24 472
10J7.0 ncn
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1754 3454 3114
401 1045
2740
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2444 1347 472
254? 1141 ♦53
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2404 1710 1207
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1754 1151 1504
fOTAL UM . 10137.0
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1455 on 141 4037
4410
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5444 2514 1704
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4411 mi 1515
5 M3 2443 1475
3514 7371 2224
5107 1404 105$
SM>o 1191 1« 70
1304 1414 1277
1034 1311 TOO
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• £l» OJL* till l»n CFPf ■ •B •in • It ■ IB
nil •Ht •#• Ebib All
mr •141 ••i i»r irr
t»ai Ml Cff ice ♦re
lirt m*c 114 DC Cl m
<m MIX H« »r< Ml
!■<• rm TB4 HE •of
■CH ■u <;□» rm nr
MEI Hit raa •bll ■H
DO-1» irt *l> (n&r ME
■m IBM !■• m» ■«■
Mil RM b|H orri □IE
j«4E f*rt »bA 4011 ML
■ '•*« WE urr • HI mi rm me i*ki uh
••A 1411 EBi Bbl tm
H4 •IM •III llll i««i
• 14 1111 HI «• IMt
•I* ■111 lBt lit □m
• ♦♦ mi Mb CH 4B1I
♦El r»» EM ■Ml
IB* Art IM •M J RM
[»• • 111 Elb Bel *•♦■
tvci ••1 «?• •di MM
MV ■■I ir» IfR bBl*
■ IA *•» n» •r>« 1MI
• •m
rirnt
rim
p‘irir
• inr
• ml
• am
imt
rim
• •mi
ram
I - Mil
run
• Kt
• till
rorti
• Hit
i me IW»F
•1(4 HIT irH
• 111 •BW li»
■tu • III ((•■
1/41 SlH «[r
• All •m •m
••H rrw
mi rvtt ml
Hl mi Hi*
ml strr irn
•ill b|»r ♦*1R
•4*1 COM HU ♦Ilf *rn rt« W« ■ 41 «n 411
BfAl 1141
•m
| irtl
•I ■ I
ml
■ rtvi MM
DIM <r<l
•FA I
IM1 «C4l
I'MIL kill mt bbil
Utv 1«M EDRE Hit
mi MIE fill WO not ItH ♦RI r tr*r
tri
m ir*r
» E1« OMI ■HE EEt$ i«t to» nir cert miz
■ iti 1j»l m
C 'MU rwt •Ml •HE
hw Birr IWBL tHE
t •»•«• 1X4 Hit •«•
■ vnr •111 till IHt
B lltl Will E*zi • VU
♦in trot rm eiic imz
rtffc ottt U*f »i« 4W4
iiM MM,
till l*«E
•Mi •nr SB* f am IpDI
HA •111 rru
UW 1 w tm
*vn AHI [OH
rorr mt MU
bi*i ♦SAt xwr
SiM rw* inr
i r r r rll
ror
rrw
mr
«r<r
an
EK
•r«
ztv
HIE MH OCT till Mil
il<t *HE mt tm »*O
d -»rM m Ibf 1 Ml
tm im vrtE
1U
Ml
MM tJM 4J*l UM Mir
riwi
I»t1 MM ••♦r
«!• 
UIL tblb Hti
%■Ikit Hit ■“I UM.
% ' 11 "Il ■ 1*6 ««IE
mu >*n uwi ritr mi UBA Alli |w>l LLHIMtkCM IO.i5w1aRi*01*RRO*R« O«t«Hi O.
___ .w
MiDROLOClCAU 35AR5 SlROTIMC
----
<14.11.12115.M .*♦.!>
244 214
nt HI 4 OIROIR
OCIOMR
173 471
FCOCO
4441 4055 2*01 1143 474
1*40.3
INMPENQEMT DAIA SET
na# AREA HAP
215
117
121 215
41*0
4114
25*5
*25
1444 1241
010
*20
543
1400 0
ntn
««.*•
-•
203
IB®
144 104
2244
1400
241*
4501
3511
4000
4417
131?
2423
2227
1422
1204.3
2HI7OIH
*20. 1
1543.0
19B5.O
475
441
451 451
040
502
1*11.3
jMoe.eiN
>0.4
144.0
1750.0
122
121
117 40'
40*4
1741.0
1445.4
2105.5
IHOI 4IM
572.2
1004,0
1410 0
122
24!
251 1*
3541
1*42
1204
3341
471
544
52;
511 51
3720
1*27
1527
1430
♦02
114
2*
221 43
4754
713
2003.0
300 2*
12* 13
31* 21
407 4
4*0 4
477 <
417
350
114
I 4017 4550
474
4*7
>04
I 20*4
I >400
I 4404
417 244
200 4< 122 2
154 5
424 *
I >54 I
k 410
5 2*4
4 100
II 14*
>5 141
5105 5227 1755
40*5
4007
3451
2350
34*2
201?
1005
♦42
041
1440
1240
IIOO
O 50*1 3451 7205 1125
14 1*40 510* 2271 1004
73 1130 1755 2700 1045
4*5
505
♦ ♦o
044
00*
710
522
12 121* 4040 252 3 1017 417
14 3004 4100 1242 504
3*5
2044.4 1727.2 1*01.* 2003.1
2042.3
2100.4
2044 * 1747.7
1510 4
1414.*
INDEPENDENT GAUCC5
TOTAL tlAR • 1570.4 nCn TOTAL AREA ■ 2713 0 *4 . *•
AREAL NAP • 1*07.4 M/vttr
DEPtNOLNT RECORD
AREA • 157*.0 44.3a
MAP • 1440 0
ULI GMT • 1.1410
HAS • 1024.7 ncn/vaar
241
174
M 202
44
14«4
4454
>57
IM
>1 1*1
1*5
>422
20*J
543
1470
22*
111
2* KI
142
3045
>005
1775
1475
2441
541
1701,2
1310.5
1415.1
>4*
514
240
125
115
144
*57
3351
4315
3447 4150 4101
1*10
704
1714
101?
1477
1157
741
10*2 *
>11
245
502
4410
2>04
70?
1400 4
14*
1*5
704
404
<07*
2140
5**
15*4.1
144
111
Table B9-12
215
330
1044
5010
71*
2043.♦
223
1*1
14*4
5411
55*4
1*4*
3041
*41
1114
1214
>21
111
Ml 511
1417
5410
4144
1*10
1440
*12
1212.4
2201.7
444 >19 204
in
457
1*7
1114 41*
24*1 1*40
404 071
4142 2501 44* 454
1140 744
20* 2*3
1024.7
141 110
TH
in■ ■ k -*»
*■•• prrtJ
•m FMM
• TJ* I MT*
♦44JT 44JM
MM 11*41 IM44
MJ4 rtf lit ■■ rrt im Mil JDM1 JJJJJ JDJJJ *1*1 ?«** rwf TF* w* lit 174 •u 1*4* bbpt HT7T l»Jl IBJI7
j*jf /•/< MT XflS i[>5 or/ Kf*7 *m MM 1JJ»I III** TNT
tr ft Hi IM MJ 44* *15 J**/ 1J40 *rr* BJM •TJ4 114
»* r
l»«4 > 3* iff ■Bl 11*
<Ti ,#* >«• *4f ■ V* i»w ■ ‘lib *M» fiBfc
**• ■ t*
411 nti «H
' ' ' 4*4 Hl* kLII*
f MB ■
U11 •M 1 « «
• *>• n»* taw t*k* ■
M 11 Bklil 14*1 •*•»* <i
felM* 1 MU 1
n |«U_»
44TT •
nil l
WIJ-4
04MJ
J1H t
!••* JIT I'M Hl ff* Bit iiOf 4144 *44** Mil
*B*« *40 I n*« |l 1MJ3
If** 4*1 f*T Iff 3M 4** ■ Ml I4rB IMi* **••* klkJ *■*■ *T1 Mil. 4
14*1 111 Itl IM **• f 11 1*11 11*4 *|IJ 01*1 *444 • 14 •11 **■■.1
!•»/ «•« |H >14 *04 lilt
ilil ilM ■••• 1*4*4 5141 l«tl Iflw ■ Hl 1
IHJ HI 1*0 ll IK HU MH 14*14 LlJbl ID1T1 4413 Uh 101* *41* 1
ME 104 •41 lir III 11*0 1000 T<14 IBHt |||«5 ■Di II
nil ldi* 45*5.1
JI J* JH#
1/
lot*
Ml *41 HI LOI3 *041 M?4 1101 401* Wrt till
i*Ji ill
* MfJ
Ml*
1*11
HJf .1
im /4*t
1 IflMF
<**T
Mil
*111 1
J f J T oh
l Fill
IMO
IlHi
JM*.*
ft
40
4|T
JI*
IM
Ml *
F1I *n
14/ <01
iw> M
MT 4«l
MFI Mil I0JM
IMF *11/ 4110
11*41 1JBW IBBJ*
MH 1*0*1 |OBM
MTJ 1114*. IIH»
44*J iJJII Bl4l
Hit 11/40 1*410
***r 14H IMH
ll« MOO TIM
ii*n idin
IM* LiO irt Ml fl* 111 JBll l*}« F*bJ MOI
IMF HO TO 1 M4 10U tin IB** OHB •Wb Mia
fftf 1JJ1 *4* 11*0.4
•MF ZJU 1 144 14*4 *
JbO* 111 *J* im. i
*•01 tMI •*• 5440 1
11*0 L5M Ml mF.»
•Ml IMF MB •Of J.4
THI /MO LOU 1014 *
*1*4 t*M • M hit i
• FBO mg IBH IH+.I
I4H *04 l*J« *
•OF* 11*1 MB • 41B 1
*U4 141* *H MLT.4
«i* ■J* 010 1119.Z
1014.4
jm.B
J«tMrt*£u.4l 0*1 A WT
1tU.II*
VI** *!■
SOB.BIM
]*HBMliaE4r UVUL
10TB* M* -
1DIAL <M44 *
Ml*, IW -
M* Mt*
Kn »* I*
JH.1 1*1 u
Hit * 104* 4
1**1 I Illi o
w
Ml *4.0
IJiQ.O
JtlD U
■MOrJ ncn
1114.0 4«
lkM.4
RFlMl£tr MCflM
IMS
IM Ml 155 IM JI* M4» mu 0*1 L
MU H * • MJ 0 ff l«
w . 1414.0
♦I1B
4
M| |UI1 *
4*45
4414
mj.i
*w>
.
L 4T54
45M I nCHIrf**-
1**41 1Q4**
44 r m
I JUT lOlf*
i«ra. <
HSTJ MBH
IVH1
1404
»W
ui; *
MT4 1*1 M
*•/•
4*ff
IBM
4*34.3
|B|1
MH TMI
11*1
11*0
*11
1**1 •
*»1J
Table B9
-1
3
IWF 1444
•1*1 144*1
1 0414
44J4
*>•0
»«<• *Bltf
Oil
J*Ob
• MO
4IIJ ■
1MJ4 ■ 1«J9
IIBT
uu
Ml
4MI.1
1 Hl* ■JIJ
J*H
MM
1 1 IB
•Oil 4
*•111 31W*
1*4**
Mil
11*1
4*01 1
10411 blfM
HIB
10*1
kill
11*4 U
• III 1M •
IM 4* 1114*
1 T1 • I
•41*
M4B
itll,*
• Ml **Bi*
*«*■
111*
H*l
>111 *
1*11 Ml L
4|M
H«
5>1
111* ■
IBHT I UM
•MT
■ III
• 111
41*0 1
• ■■* *»M*
*1*4
»*M
mb
!•*».»
HMB • 004
J Bi t
fill
•M
+WI.I
m*« I1FLW
!*«•
1*11
•»»
Mil 4
Hill IIMI
MIM
HO*
Ml
0HI.4
>
in*. i
Mil. *
OU a
1 of |IHfLOU TO DAM t AOH SOA DA fl - ECOM*
HTDAOLOCICAL Y4AA5 STMTIMC OCTOBE*
<14.II.I2II5.AI ,55.1)
1*70 112 45 50 100 122 443 134* 3430 2142 10*1 117 1*4 014.*
1*11 251 04 SO 41 2B 31 1452 20*0 1125 l *80 4*2 24*
1*22 254 • 4 50 41 20 30 1457 30*0 2130 I*** 4*2 24*
3*3.2
♦*5 0
1*21 138 •• 02 40 *2 5)0 114* 3444 ♦0*5 1710 41* JO* 1134.2 1*20 24 » IT 71 72 370 134* 104* 10*0 334 134 10* 440.5
i»rt 70 4* 44 111 ««JO 1004 2521 2*75 7453 1207 143 174 1175,1
1*24 1*5 120 0 3* 10* 1444 2010 1414 2471 1402 577 2*5 1372.3
1*2* 1 JO 144 414 2* 140 *03 3272 2*21 3030 2455 5*3 145 1320.5
1*20 2*0 244 42 141 127 421 1473 2452 $54* *0*1 1017 111 14*0.1
1*2* 121 45 SO IOI 124 445 1277 2444 2175 10*7 17* 1*7 031.4
1*30 457 122 140 17* 1011 450 2444 2521 14*0 2401 1244 4** 15*0.4
i*n 1*0 1)0 0 1* 1*4 1474 3044 3472 2717 142* 5*7 2*» 13*5.4
1*32 437 120 154 370 ♦e» 43S 2400 3445 34 07 25** 1210 47* 1547.3
1*0) 40 57 7* 4) 102 313 1342 1*01 2421 ill* 542 203 OB4.4
IVH* 37 15 24 15 no 570 2104 1451 1447 Si* 111 142 710.*
1*05 44 2* 27 *0 60 725 1532 7047 2434 1175 355 212 • 74.3
1*0* 102 45 54 *1 55 372 1121 1754 2100 *0) 321 242 7J4.3
IM) 255 e* SB 41 20 JO 1440 2904 2135 1*»« 4*4 245 **7.|
1*11 100 1*0 114 2* 150 *04 7301 2*4* 300* 2*0* 550 147 1337.4
1*1* 40 •4 44 101 ISO 530 1541 2420 210* 1110 ?*• 412 ♦12.3
1**0 154 110 72 Bl 130 1142 1*42 24*3 31*5 1527 342 1ST II10. 3
1**1 122 45 SO IOI 123 44J 1274 1*3* 214* 1044 I7| 1*7
•l»-3
1**2 117 *0 45 1*0 414 *22 137* 2402 2457 1230 4*4 44* 104* * 1*03 10* 13* 0 1* 3M 143* 7004 13** 2440 15*5 574 244 1344 ■
AVE. I** *4 44 107 78* 731 104* 25*2 2*30 1744 544 242 1132 4
socw 140 SO 44 *4 74* 4*1 4*0 »l» 10*4 ■ 40 302 17*
4*11 251 OS $7 40 27 17 1435 1040 2101 1*40 4*4 241
•87 •
1*34 f 1 $ 7 22 ns 425 331 317 IOS *2 32 141.4
1*11 1*1 127 0 3* 107 1433 27*4 >307 3451 15*0 573 2*3 1341 *
1*14 1*5 112 21 2 *2 21* 441 3350 3*41 1170 552 204
*41 •
1*3* 14 44 IS 11 104 534 1*73 1544 1541 *0* 1*7 152 443 U !*)■ 1*4 12* o 1* 1*3 145* 2*40 3440 24*1 141* SOl 2*7 1302.7
IW 71 50 47 120 4*0 1104 2573 30)5 2705 1231 371 17* 11*1.4 1*40 40 47 45 114 400 1045 2477 2*2) 740$ 1115 357 173 1154.1
H*Of*fMO*MT DATA S<f
• ■r bl«l
INOLPtNMNf GAUGES
MA* A Al A MAP ncn si.ta ai
14*3.2 1/77.0 7170.0
1*41 24* 02 54 40 19 17 1427 2045 20*1 1*57 4|* 25*
*77 5
1*42 71 40 47 120 4*4 1100 2541 3022 24*3 1225 >4* 17* 11*3.1
4*41 411 114 iso 154 *40 404 2)07 2342 3454 2410 1147 *5* 14*7.1
1**4 15* *» 104 50 104 740 125* 10** 1*07 1411 315 1*0 0*7.7
1**5 70 4* 45 110 404 107* 2511 2*42 14*1 1201 342 175 114*.a
1*44 ISO *0 104 SO 103 750 1355 10*) 1002 14*0 354 140 B4S.0
l»*> 122 45 51 IOO 123 443 124* 2430 2142 10*1 IT* 1*4 014.4
1*40 251 04 SO 41 20 30 1452 70*0 313$ 1*08 4*3 24* 003.2
1*4* 254
SO 41 20 )• 1457 20*0 2130 1*** 4*1 24*
**s.o
TOTAL MA* • 14*3.2 ncn
TOTAL AMA • 1777.0 *4.kB
A0CA4. nAF . 2120.0
DEPENDENT ttCOAO
AMA • 1040 0 •0 »•
HAT • 2320.0 ao/yiar
UTICMI • 0 4*M
ruu» • 1132.4 ncn/viar
1*50
410
00
■2
40
*2
530
1143
24*4
40*5
1710
41*
104
1134.2
1*11
24
*
12
21
72
370
1344
TO4V
1000
334
134
10*
400 . S
1*52
70
4*
44
110
400
1004
1511
3*75
2452
1207
143
174
1175 1
1*51
1*7
130
0
1*
1*4
144S
3*50
1437
JIOI
1420
M3
24*
1301.0
1*5*
4 70
444
114
1*
140
*03
2371
2*31
lose
2455
5*3
IOS
1 320.5
1**1
415
41*
154
34*
*04
433
7400
2454
15*4
2533
1114
•72
155* *
Table B9 -14
1*5*
25*
100
43
4*
144
447
1345
1053
20)0
10*1
>12
111
777.5
1*57
452
422
140
37*
1013
4S0
1444
2521
34*0
2403
12*4
*04
10*0.*
1*51
12
454
*7
114
254
0*4
170*
17)2
1334
17*0
4*1
IS*
10*5 2
1*5*
470
40
54
41
307
•44
70*2
3135
3175
1*5*
3*4
15*
11*7.*
1*40
254
OS
>0
01
30
30
144*
2*30
21*7
300*
4*4
104
too). *
4*41
700
352
44
111
134
*51
1575
1432
5*57
*177
10*7
351
ITS*.>
1*42
7*
111
54
14
231
1100
2131
3737
33*4
1213
7*1
SO*
1351.4
i*»l
411
415
ISO
354
*53
*11
111*
2374
3*74
2*51
1173
454
1504.0
1*44
200
274
44
147
111
430
1531
35**
370*
4233
1057
514
1705.0
1*45
4*44
40
1*1
SO
45
74
>O
4*
142
IOS
421
147
107 7
mo
1410
1022
2010
2400
MOO
1041
2177
54*
431
J04
*5)
0*7.1
13*7.0
1*4*
2*4
200
47
IS*
ISO
400
1410
247*
0*0*
•4*1
1112
50)
t)*3.3
1*0
12*
71
2
*o
111
• 15
23r»
303*
1144
537
17*
*34.0
1*4* 1*4 112 IW* • S 235 03* 017 1073 21** 1334 1*4 Ml >*o. r
1*10 14 %>• 51 11 211 1170 1107 l 2711 S3** 334 • 1*4
|*H «•» 11% %•* 1** »>0 000 11)7 71*0 ***l 244* 1*00 «*•
mo t
i«*l «
10*2 57 7 t* 11* 77* 1*47 »B%* 2411 4*4 0*7 2*1 tot *.i
i«n »>*
•» *4 44 *»• »r* «%»1 111) )IO« !■’» »** 1*4 12*0 •
1 »«V4 »•» »» 7
11 14* 44 1*1 »•% »»•» »>»« •’»» ’ • IB *04
\ *«*4 »•* »»» 414 »*♦ *•’ • I* 1017 !•*• »»»• *11 7«% »»• »«aa.
1411 *00* 5*** *2*1 MO* ■»* ■ r« aa»a. am
5 • •• <•
•01
• 00
• ••i
\
k* 74 «*l
««•
• •
— -V-
!«•
• •• 4 • «0 • • •<• •• »»•»
•V. V
»• • *•
• •
• •••
i •••,f1.II
JO 11 41 HJ
H 21 51 III
JI rtn 1» IH
14 11 ID! Jt*
ji
li
II 117
HJ Ji 41 kJ4 JT II JI lh 34 M 71 1**
H 10 IH rw JF 11 be* nr 24 11 li i» IM 111 JFS in v* IH JJ in
0 1 I* IM ID H 10 144 H ♦ •V JU
1 1 >1 hi
I kt *1 m
J • 111 »» li 11 HI in
H U F4 114 ji JI 1J in ji U 11 HF
JI IJF ua If JI F4 in
11 •r |J> th J* i« IU IH 71 n 41 142 JJ u 11 111 11 n* 11 lit 1* ii IM 111 M ji 11 HF J* 14 41 IF4
JJ IB 11 M4
14 44 II 141
inz 14 •V JI4
if 11 IM J44
441 3U Hl .4 SW Hi 111 TJ
nf LVt V4 14 Its J7l 114 14
417 f*t tk M 4 la 411 JI* *1 Ml 4QF 211 *3
Hi 1*7 lit IM 131 M3 IM H tu K« 41 1* 4»> 11* JH L*F 111 111 II Fi Ml 4lt 111 111 Wt 111 IM M 41V IV* *0 7 tn «*9 IS* 41 147 41* 2M M 47* 111 Ilf 13 4 74 M> 111 14 47J 14* IH »r IN •M H4 34
TO* • Jffl
JU. 3
US.*
IH 1
JK 1
U4.1
flit mJ
2*4 F m« ni > lU * 771 J 11*3 »» » iit f l»3 » rtl I I** I TM.4 Ul 4 Ft* 1 JU • JOI * 111. I JM I r»* * itl.l Mil
m* IJi*
»■ •
IP 4
nil
tu • ZD2 •
ft* *
IMHFlMCIil 0*'*
*■■■ tain
■ ■ftartMat"' *««* Illite ■ lurte. *M* "
*tlte riJ*
nM
r*« ««.!■
.Ml 1 ltJV«
n*P
nz n i
lit □a
tit 4*1 rti 111
1*1 art 121 iVJ
IW* I
L4JI U
ten
44 *■
*72 7*1
111 ■1
HI IM 111 »* 4W 1JF ID*
4*1 IVV HV 40 1«l 111 ITJ H
|H U W m 121 IM 34 4*2 M* ♦» •V *i« ♦»r 111 VI
M4* ■ Mil 44.lV M* ■ J4t» a
Ml«' ■
rv-» ■
4.11*1
711.3 «*!!>■*
tor JU •7
tM JU |JV i Id
4*» tn 111 tl
rtt
Tabl e B9 -15
IV4 ITO **
if
M
11
tf
1*1
nz i
4*i
If*
nt
JF4
HI. J
I
13*
111
Ml
JJ*
ZU.I
w
H4
»i
J4F
|VV 4
J7J
|M
7*»
11*
ri*^
III
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47* 1504 3502 4132
1474 504 244 1432.0
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AVE. 24* 134 •1 142 SDEV 223 01 41 111
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2774 4*5 34* 11*5 ■
1735 744 232 1*57.7
1541 411 572 1247.0
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1*27 147 203 15* 40 204
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1345 3155 4057 4234
754 22* 1034 O
2045 3405 7735 54*2 1413 715 2277.0
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1*30 *04 170 222 524
1*33 275 181 0 5$
1*32 *05 144 214 514
1*33 34* its 99 ■ 1
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1*35 24* 174 0 54
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1*37 47 20 34 44
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1*3* 7fl 70 45 147
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172 410 1774 33**
3023 1454 740 274 1141.1
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1374 8*2 3344 3423 500* 3531 14*1 45*
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171 414 174* 31*8 3012
57* 1003 1*15 3447 34*0
53* 2277 IB* 7 4721 34*5
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374 482 *54 1500
1450 247 221 1137*
170* *44 423 4458.7
2215 790 33* 1*9*.2
244* 754 144 1572.7
11*5 420 111
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144 142 273*
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»<w bln HWrNDEHT SAUCES
1*41 *4*
20* 4*2
1*44 270 137 145 80
1*45 ♦7 40 43 143
1*44 11* 117 144 BO
1*47 14* 41 ■0 13*
1*4* 152 114 OQ 84
1*4* 353 117 •o ■5
1*50 1*1 111 113 ■4
1*53 33 13 21 32
52 225* 3*51 2*05 271* 472 340 1357.4
152* 3557 41*7 3740 1702 513 240 1457.2
1317 •45 3205 32*1 33*4 1421 431 2075.2
255 1054 174* 2437 1110 22*4 4*3 1*5 1177.3
475 14*0 34*7 4114 144*
144* 503 242 1424 7
255 1012 1743 2430 2502 22*9 4*2
170
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53 22*4 4014 2*51 2741 4*3
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1301 O
TOTAL HAS ■ 14*3 2 ncn
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1*55 M2 145 114 512
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204 1345 3153
•057 42 34
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754 229
114*
3331 3412 4**2
3521 455
1432.0
1*27 4
1*14.0
2142.3
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574
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I *31 72 >2 45 72 1*5 514 77* Hi* 724 774 150 72 45*. 1
3*11 >0 47 104 47 145 423 474 5*4 304 ♦5 41 J* 271.1
1*11 56 1* 1* 44 an* 745 724 5*0 473 4*4 104 ♦5 405 3
1*1* 54 20 22 44 10* 507 474 542 52* 173 104 45 317.3
1*15 117 •* 74 4* 704 □41 441 140 23* 247 145 72 334.0 1*10 11 67 lie 104 354 421 ♦ 40 57* 440 23* 104 11* 350.7 1*17 1* 17 24 1OO 451 117 122 1*5 173 114 IOO 8* 174.5
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l»3O 54 29 22 74 10* 4*5 457 551 510 342 IOO 45 310.1
1*03 50 28 45 45
1*84 33 17 22 U*
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1*87 J* 22 33 70
1*08 54 1* 3* 04
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440 1041 1414 1141 724 262 III 84 540.4
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217 84 71 121.3
557 170 1* 3*3.0
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100 41 1* 202 2
184 145 154 258 ♦
200 540 613 1143 752 007 156 72 *77.4 212 857 080 3*5 145 273 150 72 340. 1
242 417 74* 67* 513 414 I2D 80 348.* 107 242 2*2 315 1*2 252 3* 1?
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Summery

Baro-Akobo River Basin Master Plan Summary

Baro-Akobo River Basin Integrated Development Master Plan Study

1. Document Overview

This document is the Final Report Annex 1 Part 2 of the Water Resources study for the Baro-Akobo River Basin Integrated Development Master Plan, prepared for the Federal Democratic Republic of Ethiopia Ministry of Water Resources in May 1997.

Key Details:

Basin Location: Southwestern Ethiopia (5°31'-16°54'N, 33°-36°17'E)
Basin Area: 76,000 km² (4th largest in Ethiopia)
Mean Annual Flow at border: 23 billion m³
Contribution to Nile system at Aswan: 8% of total yield

2. Basin Characteristics

Climate

Single monsoon wet season (May/June to September/October)
Rainfall: 900-2,400 mm annually (higher at altitudes >2000 masl)
Temperature: 17°C (mountains) to 28°C (lowlands)

Morphology

Elevation range: 395 masl (west) to 3000 masl (eastern highlands)
70% of area consists of upland plateaus and ranges
Low Illubabor plain prone to wet season inundation

River System

Major River	Catchment Area (km²)	Mean Annual Runoff (MCM/year)
Baro	30,004	12,784
Akobo (Lower)	7,209	2,118
Akobo (Upper)	6,036	1,774
Gilo	12,815	3,224
Alwero	8,019	1,375
Total	75,910	23,238

3. Hydrology Study Methodology

Data Collection Challenges

Hydrometric network with 17 stations (Table 1)
Data gaps: Only 54% of expected monthly data available (1967-1993)
Long-term Gambela station has records since 1906 but with gaps

Analysis Approach

Data Infilling: Used linear regression and Patch Program to fill gaps
Rainfall-Runoff Correlation: Analyzed relationship between rainfall and flow
Stochastic Model: Zucchini Hiemstra model for long-term flow generation
Flow Transfer: Weighting factors to estimate flows at dam sites

Key Findings: The Russian study (1990) tended to overestimate Mean Annual Runoff (MAR), while the ARDCO-GEOSERV study (1995) underestimated it. The current study found no significant correlation between specific discharge and elevation as previously assumed.

4. Major Components of the Study

Volume Structure

Volume	Content
I	Executive Summary
II	Resource Base and Development Options
III	Master Plan Development
IV	Project Area Maps
V	Pre-feasibility Studies

Annex Structure

Annex	Content
1A-1J	Water Resources (Climatology, Hydrology, Flood Studies, etc.)
2A-2L	Natural Resources (Land Evaluation, Soils, Geology, etc.)
3A-3F	Socio-Economics (Population, Ethnic Groups, Economic Analysis)
4	Environment

5. Key Hydrological Findings

Flow Characteristics

Maximum flows typically occur in August-September
Minimum flows occur in February-March
Response time to rainfall at Gambela is about one month

Comparison with Previous Studies

Station	Catchment Area (km²)	Russian MAR (MCM)	ARDCO MAR (MCM)	TAMS MAR (MCM)
Ketto	1,006	616	512.7	580.3
Baro at Gambela	23,461	12,685	11,640.3	11,952.6
Gilo	10,137	3,980	2,826.7	3,014.3

6. Conclusions and Recommendations

The study provides a comprehensive hydrological assessment of the Baro-Akobo basin
Data gaps were addressed through statistical modeling techniques
Results show the basin's significant contribution to the Nile system
The methodology can serve as a model for similar basins in Ethiopia
Recommendations likely include water resource development options (though not detailed in this excerpt)