| Author | Shahi, Purusottam Kumar |
| Call Number | AIT Thesis no. WA-88-14 |
| Subject(s) | Irrigation--Linear programming
|
| Note | A thesis submitted in partial fulfilment of the requirement for the degree of Master of Engineering, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Abstract | An integrated LP-SDP optimization model is developed to derive the
steady optimal reservoir operation policy in consonance with the irrigation
demand for the optimal acreage to plant for potential irrigation with the
objective of achieving maximum benefit from the command area. While
determining the optimal cropping pattern for an irrigation project in
conjuction with a dam it is desirable to know the best area to plant as a
function of beginning-season reservoir level and the best way to allocate
a given quantity of water.
The SOP model is a well established optimization technique for
reservoir operation. The linear programming model is the most suitable
optimization technique in selecting among large number of alternative
combinations of design, one which would result in the maximum annual
benefit. In this study, both optimization techniques are combined to
formulate an integrated model for optimal water allocation in an irrigation
project in conjuction with reservoir water supply facility. The SOP model
derives an optimal policy that predicts changes in reservoir storage
resulting from inflows and releases to meet requirements of crops selected
by the LP model for optimal benefit. The land area to be allocated to each
crop for planting is the decision variable in LP model.
The model considers the stochasticity of streamflow time series for
realistic approach. The system was modelled as a periodic Markovian
decision problem. In the formulation of the model, it is assumed that
releases from the given reservoir, the acreage to be planted, and
irrigation timing are all controlled by one decision maker.
The procedure developed in this study is applied to a case study
for the Bagmati Irrigation Project, in Nepal. The formulation of a planning
model with the prime objective of fulfilling irrigation demand is sought
in this study. Results from the model include optimal reservoir operation
policy, optimal cropping pattern and corresponding monthly irrigation
delivery schedule. Sensitivity analysis is performed to study the effects
of changes in some parameters in the optimal results.
The model is found to be computationally feasible and yields
practically· satisfactory results. |
| Year | 1988 |
| Type | Thesis |
| School | School of Engineering and Technology (SET) |
| Department | Other Field of Studies (No Department) |
| Academic Program/FoS | Water Resources Research Engineering (WA) |
| Chairperson(s) | Paudyal, Guna N. |
| Examination Committee(s) | Bogardi, Janos J. ; Mizutani, M.
|
| Scholarship Donor(s) | Government of France |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 1988 |