| Summary: | 碩士 === 國立臺灣大學 === 地理環境資源學研究所 === 97 === Nowadays, the climate change becomes more and more serious. The scale of flood disaster is much bigger than before. No one can guarantee that the 100 years return period facilities can keep the flood from us for 20 years. Therefore, unlimited enlarge the scale is neither the best choice nor a trend in the foreseeable future. If everyone can return the water, it seems an effective way. In regard to this, the paper put forward the term “Distributed Water Retention”. As implied by the name, we put an emphasis on “distributed” and “retain water”. If everyone can retain water together, it must be an optimal way for flood control. In other words, we can reduce the run-off peak. In the study, we try to combine rainfall-runoff model and heuristic algorithm to simulate different situations, and find the optimal allocation of the water retention facilities.
The study shows that different allocation has an effect on run-off peak. In the design case, the original run-off peak is 5.87043340 (m/hr). After putting the water retention facilities parameter inside the model, the run-off peak becomes 5.15741359 (m/hr), and it’s 12.15% lower than the original data.
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