期刊名称：International Journal of Software Engineering and Its Applications
印刷版ISSN：1738-9984
出版年度：2014
卷号：8
期号：3
页码：361-378
DOI：10.14257/ijseia.2014.8.3.33
出版社：SERSC
摘要：This paper proposed a new methodology adaptation for the Pedu-Muda reservoir operation policies to enhance the capability and reliability of the reservoir operation fit to the climate change impact. These reservoirs are responsible to irrigate water supply for the largest double paddy cultivation area in Malaysia - the Muda Irrigation Scheme as staple food among people. In this study, statistical downscaling model (SDSM) was used to project the changes in climate trend for the study area, a hydrological model was used to simulate the runoff under projected change in climate, and a crop water model was used to re-arrange the crop water demand for two-times cultivation season. Two optimization models were applied; NSGA-II and LP model represents as evolutionary algorithm and classical method respectively to enhance the reservoir workability under changing climate. As a result, the rule-curves were proposed as guidelines to the operators for long-term reservoir operation. The performances of these models were compared via reliability, resilience, and vulnerability index. The results revealed that both optimization models were successful in theory to provide more/sufficient water for the irrigation purposes more than 4% than historical record. The system can also reduce the water transfer from Muda reservoir and water spill of Pedu reservoir. By performance results, the NSGA-II model showed a better improvement in the reservoir operation system and mitigated possible water crisis sufficiently due to climate change rather than LP model.
