Optimal Allocation of Water Retention Facilities on Slopeland
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...
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ndltd-TW-097NTU051360172016-05-02T04:11:09Z http://ndltd.ncl.edu.tw/handle/67736610940428752650 Optimal Allocation of Water Retention Facilities on Slopeland 評估山坡地分眾保水之最佳時空配置 Yu-Feng Kao 高毓夆 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. 孫志鴻 2009 學位論文 ; thesis 72 zh-TW |
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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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author2 |
孫志鴻 |
author_facet |
孫志鴻 Yu-Feng Kao 高毓夆 |
author |
Yu-Feng Kao 高毓夆 |
spellingShingle |
Yu-Feng Kao 高毓夆 Optimal Allocation of Water Retention Facilities on Slopeland |
author_sort |
Yu-Feng Kao |
title |
Optimal Allocation of Water Retention Facilities on Slopeland |
title_short |
Optimal Allocation of Water Retention Facilities on Slopeland |
title_full |
Optimal Allocation of Water Retention Facilities on Slopeland |
title_fullStr |
Optimal Allocation of Water Retention Facilities on Slopeland |
title_full_unstemmed |
Optimal Allocation of Water Retention Facilities on Slopeland |
title_sort |
optimal allocation of water retention facilities on slopeland |
publishDate |
2009 |
url |
http://ndltd.ncl.edu.tw/handle/67736610940428752650 |
work_keys_str_mv |
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