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In the domain of planning for optimal development, supply management is a
crucial issue. Given the uncertainties and vagaries associated with monsoon precipitation
in space and time, and given the ever increasing demands from consumptive and nonconsumptive
uses of water, the mismatch between the supply and demands is increasing
day by day. From the perspective of supply management, inter basin transfer has been
considered as one of the options. While planning for transfer of water, it becomes
imperative to know beforehand the expected behaviour on the water availability at export
points planned for above. Systemsanalysis provides the answer as an approach to estimate
the yield at the export point.
Inter-basin transfer of water is a gigantic exercise encompassing wide spectrum of
fields and is highly complex. The evaluation of such an exercise can best be accomplished
with the help of systems analysis. There are a number of techniques employed in systems
analysis. By far, the most important of all is optimization by linear programming where
the objective function and constraints are linear functions of decision variables. Among
different L.P. models, Reservoir Yield Model has many distinct advantages. It has the
advantage of dealing with very large size of problem efficiently. As compared to the
complete model, there is a substantial reduction in the problem size with reasonable
estimates of over-year and within-year reservoir capacity requirements. Further the model
has advantages of taking into account the critical year flows and allowable deficit in a dry
year.
The available yield model has been modified to take into account the transfer
criteria from different states, basinsand reservoir and is coined as the Generalised
Reservoir yield Model (GRYM). The model takes into account the transfer from a point
to another by has the capability to analyse at the level state (province in India), basin level
and reservoir level.
The improved model, GRYM is applied to the study area, which comprises the
first part of the peninsular component of the National Perspective Plan, 1980 of
Government of India. The area almost covers the entire basins of major peninsular rivers
of India, namely, the Mahanadi, the Godavari, the Krishna, the Pennar and the Cauvery.
The combined area of thesebasin is in excess of 8 lakh sq. km and covers more than 25%
of the area of India. There are about 200 major, 900 medium and a large number of minor
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irrigation projects. Due to the large size of the problem, only major reservoir projects
have been considered in the study. The contributions of the medium and minor irrigation
projects have been lumped together for their contributions to the inflow, utilisations and
demand scenario.
For the inflow data, the period chosen for analysis is 28 years i.e., from 1972-73 to
1999-2000. Within year analysis has been made for 12 within-year time periods for the
critical year.The water year in India starts in the month of Juneand ends in May. Annual
reliabilities for the firm and secondary yields considered are 97 percent and 76 percent
based on weibull plotting position for a data series of 28 years, respectively. The net
inflow series at each project are calculated by the basin water balance method from the
discharge data available at nearby river gauging site. In order to process voluminous data
available and received from different organisations in different formats and to place them
on uniform platform, different FORTRAN programs are written and utilised. Failure
years at each project are identified from the respective net inflow series. The inflow
fractions in within-year time periods are calculated for each reservoir considering inflow
of the driest year. Storage area curves (linearized over dead storage) are used for
computation of evaporation parameters.
Demands from different sectors have been considered for a time horizon of 2050
AD. The reason for adopting the planning horizon is due to the fact that the population in
India is expected to stabilise in 2050 AD and consequently the demand patterns will also
be realistic. The gross irrigation water requirements at each within-year time period of the
proposed crop plan under each project is estimated by using FAO-56. Population of the
basin in year 2001 is calculated from the district census data and then projected for year
2050. Population of a sub-basin is distributed proportionately among all the projects in
proportion of their respective culturable/cultivable command area (CCA). Municipal and
industrial water demand at each project is calculated for projected populationx Sitespecific
values of allowable percentage yield (failure fraction) for satisfying the project
specific demands as far as possible in successful years have been considered in the study.
Protein and calorie requirements of the total as well as of the agricultural population have
been computed.
After the flow parameters or the supply parameters, demand parameters and the
parameters pertaining to the physical parameters are known, they are put to the model. In
order to write the large number of equations into the solver, again FORTRAN
programmes are used. The matrix so generated is solved by using LINDO
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software.Thestudy is limited to the surface water resources and also for major projects
only.
The model was successfully applied on the study area comprising of five major
river basins of peninsular India. The outcomes of the results have been analysed and put
in Chapter 6 and Chapter 7. On the basis of the results the following conclusions were
drawn. In the matter of satisfying the export demand, it is seen that in only 3 nos of link
canal, viz., Link Canal 1, 5 and 9, the export demands at the exporting points are fully
met, whereas in case of Link Canal 8, the achievement is 94.59%. In respect of other Link
Canals, the demands met are 6.7% for Link Canal No 2& 3; 41.53% for Link Canal 4;
16.9% for Link Canal No 6; 25.69% for Link Canal 7. Further basinwise, Mahanadi,
Krishna and Cauvery fully met the demands where as Godavari fell short of it. |
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