Modeling Optimal Water Management for Reservoir Based Irrigation Projects
The double cropping of rice in the Muda Irrigation Project depends very much on the volume of water stored in the Muda and Pedu reservoirs. The most important problem affecting the project includes constraints related to poor water management. However, the shortage of reservoir water still remain...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English English |
| Published: |
1999
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| Online Access: | http://psasir.upm.edu.my/id/eprint/10468/1/FK_1999_43_A.pdf http://psasir.upm.edu.my/id/eprint/10468/ |
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| Summary: | The double cropping of rice in the Muda Irrigation Project depends very much
on the volume of water stored in the Muda and Pedu reservoirs. The most important
problem affecting the project includes constraints related to poor water management.
However, the shortage of reservoir water still remains the most severe constraint on the
establishment of stable double cropping of rice. Thus, the main purpose of this study is
to develop an optimization model and a solution strategy to solve the water resources of
the project in a computationally satisfactory manner. In this study, a water balance
model was developed and the performance of a project was evaluated. The water
balance components were modeled, without incorporating any model calibration
parameters. The model results were compared with observed data satisfactorily. The
overall project efficiency for the main and off-seasons were also obtained. A reservoir simulation model was developed and the model storage capacities
were compared with the observed storage capacities satisfactorily. The Markov process
with periodicity in hydrologic data was applied to generate monthly streamflows. The
generated storage capacities were found to simulate with the observed storage capacities
satisfactorily. Three different cases of anticipated future monthly storage were
envisaged to assess the risk for predicted monthly storage capacities in 1998-2002 and
their probabilities of occurrences were computed. An optimization model was also
developed to solve the water resources management of a large project in a
computationally satisfactory manner. Twelve different scenarios were analyzed to test
the performance of the project and their consequences were illustrated. The optimal
reservoir storage, optimal irrigation demand, and optimal reservoir release (i.e., optimal
reservoir operating policy) were computed. The optimal mean (1987-1997) model total
water requirements for the dry and wet seasons were also computed and the optimal
contributions by rainfall, reservoir, uncontrolled river flow, and recycled water were
determined. The mean water balance components results for different months were
stored in GIS data bases, analyzed, and displayed as the monthly crop water
requirements maps. Finally, it can be concluded that the integration of the water balance
model together with the models for reservoir simulation, efficiency, hydrologic
forecasting, optimization, and GIS holds much promise in the analysis of optimal
allocation of water resources of a project. |
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