| Author | Shrestha, Dinesh Lal |
| Call Number | AIT Diss. no. WA-91-03 |
| Subject(s) | Reservoirs--Nepal--Mathematical models
|
| Note | A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor
of Engineering, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Dissertation ; no. WA-91-03 |
| Abstract | The development of reservoir systems for optimum utilization of water resources calls for
careful and articulate planning. While acknowledging the important role of systems methodology
in the analysis, one should understand the inherent limitations of the conventional models when
applied to real problems. The model should be developed to suit the needs and particular
characteristics of the system as close as possible so as to meet the stipulated objectives. These
aspects have been considered for the planning of the reservoir system in the Karnali river basin,
Nepal. The Chisapani project, the largest single reservoir system in the basin, has been given
considerable interests by the concerned authorities in the recent years. However, several relatively
smaller reservoirs can be developed in the upper reaches of the basin and a number of alternative
plans can be formed among these to yield benefits close to that of the Chisapani project.
Moreover, these smaller reservoirs apparently have less adverse environmental and social impacts.
Stochastic Dynamic Programming (SDP) and simulation models have been developed to
evaluate the optimal firm energy capabilities and other performance measures of the alternatives.
The information required for environmental parameters have been processed and calculated using
a Geographic Information System (GIS). The fuzzy inference theory has been formulated for the
assessment of the relative index values of reservoir induced mass erosion. The selection of the
"best" alternative reservoir system plan has been achieved through a multicriteria analysis in
which four criteria; cost, benefit, environmental impact, and social impact indicators have been
considered. In order to encode the fuzziness in the available data sets and in the decision making
process involving human judgement, the concept of Fuzzy Decision Analysis (FDA) has been
implemented in the proposed Multi-Criteria Decision Making (MCDM) techniques. The enhanced
compromise solution to MCDM, fuzzy decision making under certainty and fuzzy inference based
MCDM have been formulated and applied to the present problem.
The approach and methodologies employed in the present planning problem of the reservoir
system appear to be promising for other cases as well. The proposed methods for the MCDM
analysis are comparatively simple and easy to understand, yet address the underlying
characteristics of the real world problems to a greater extent. This study confirms that the
Chisapani project is not a superior alternative given the present decision situation. From the point
of view of the analyst, a group of three best alternative systems comprising smaller reservoirs
have been recommended. |
| Year | 1991 |
| Corresponding Series Added Entry | Asian Institute of Technology. Dissertation ; no. WA-91-03 |
| Type | Dissertation |
| School | School of Engineering and Technology |
| Department | Other Field of Studies (No Department) |
| Academic Program/FoS | Water Resources Research Engineering (WA) |
| Chairperson(s) | Paudyal, Guna N. ;Harboe, Ricardo
; |
| Examination Committee(s) | Gupta, Ashim Das ;Tabucanon, Mario T. ;Kindler, Janusz ; |
| Scholarship Donor(s) | The Government of Australia; |
| Degree | Thesis (Ph.D.) - Asian Institute of Technology, 1991 |