| Author | Sahoo, Goloka Behari |
| Call Number | AIT Thesis no.WM-97-03 |
| Subject(s) | Phitsanulok Irrigation Project
Irrigation projects--Thailand--Phitsanulok
|
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering. School of Civil Engineering |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. WM-97-03 |
| Abstract | Supply water, more than any other single factor, influence on the crop area planning
and management decision in irrigation project, particularly during dry season. Deficiencies in
proper planning and management with the limited water availability preclude the realization of
full production potential. In order to utilize this important resource fully, it is a formidable
challenge for planners and engineers to select an optimum crop plan with the application of
scientific approaches. This study deals with one such problem of the Phlai Chumphol
Irrigation Sub-project of Phitsanulok Irrigation Project, Thailand.
An optimization model is developed utilizing the linear programming techniques on
weekly basis. Optimal cropping patterns for different planning scenarios are obtained by LP
model considering the surface water, ground water and stochastic rainfall integratedly.
Stochastic approach is incorporated in the crop water requirement calculation. The
sensitiveness of LP model is carried out for different level of irrigation application to the crops
for determination of area and the corresponding benefit. Moreover, empirical linear
relationships are established between two regulating dams and the irrigation project to predict
the water availability of released water for the field use during dry season.
Each optimal cropping pattern obtained from LP model indicates having specific
importance over the two defined objectives of the system, the maximization of crop area and
the maximization of net benefit which are conflicting to each other. The conflict is minimized
by establishing a trade-off relationship between these two objectives through multi-objective
analysis. The most preferred alternative is selected by inputting the subjective preferences of
the decision makers in the Analytical Hierarchy Process and Compromising Programming. It
is found that the net benefit and increased crop area obtained from the most preferred
alternative is 7.8% and 6.9% more over the cultivated case and 18.4% and 24.7% over the
existing planning pattern respectively. The study, also, measures the risk related performances,
reliability, resiliency and vulnerability involved in the weekly released water for case of
preferred, cultivated and planned cropping pattern, and found better in case of preferred case.
This study deals with an overall procedure which is recommended for irrigation planning
purpose by determining suitable cropping pattern. |
| Year | 1998 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. WM-97-03 |
| Type | Thesis |
| School | School of Civil Engineering |
| Department | Department of Civil and Infrastucture Engineering (DCIE) |
| Academic Program/FoS | Water Engineering and Management (WM) |
| Chairperson(s) | Loof, Rainer ; |
| Examination Committee(s) | Gupta, Ashim Das ;Kazama, So; |
| Scholarship Donor(s) | The Royal Netherlands Govenunent; |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 1998 |
