Search Optimal Rule Curve using Cuckoo Search Algorithms Case Study Lampao Reservoir

บทคัดย่อ

This research aims to apply the cuckoo search algorithms connected with a simulation model in order to improve the rule curve of a reservoir. A minimum average water shortage was used to be the objective function for searching procedure. Monthly rule curves of the Lampao reservoir located in Kalasin province were considered in this study, which consists of average monthly inflows into the reservoir from year 1968 - 2011, net demand from the reservoir, hydrologic data and physical data of the Lampao reservoir. In addition, 100 samples of generated inflow data were used to evaluate the performance of newly obtained rule curves. These results present the situation of water shortage and overflow in terms of frequency and duration, amount of average and maximum water. The results found that the pattern of the obtained rule curves from the cuckoo search algorithms connected with a simulation model is similar to the existing rule curves. The new lower rule curve is higher than the existing rule curve during the dry season from January to May. Hence, it can increase storage water to meet the water demand. The new upper rule curve is lower than the existing rule curves during June to August. For this reason, it also can reduce flood risk during rainy season. The results of the evaluation performance of the newly obtained rule curve found that water shortage and overflow decreased slightly. In the case of increasing the irrigation area of 8,000 hectares, the new rule curve can also be used as a basis for releasing water from the reservoir.