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研究生: 唐修國
Tang, Hsiu-Guo
論文名稱: 魚塭預排於豪雨期間之經濟效益評估研究
A quantitative analysis on economic benefits of pre-drainage operation of fish ponds before heavy rainfalls
指導教授: 羅偉誠
Lo, Wei-Cheng
學位類別: 碩士
Master
系所名稱: 工學院 - 自然災害減災及管理國際碩士學位學程
International Master Program on Natural Hazards Mitigation and Management
論文出版年: 2016
畢業學年度: 104
語文別: 英文
論文頁數: 108
中文關鍵詞: 地文性淹排水模式台灣颱洪災損評估系統魚塭預排
外文關鍵詞: PHD model, TLAS, economic benefit, pre-drainage
相關次數: 點閱:150下載:20
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  • 台灣位處於西太平洋熱帶氣旋經常侵襲之地區,平均每年會有3至4個颱風經過與影響。近年來由於氣候變遷,降雨強度更強的極端水文事件也更頻繁地出現,每當易淹水地區遭逢颱風、暴雨事件的侵襲皆會造成人民重大的生命財產損失,而台灣地狹人稠的限制,加上高經濟價值的產業發展,更使得淹水造成的經濟損失劇增。政府單位為了減少水患,經常需編列龐大的治水預算來建造水利防洪建設,而隨著近年來經濟的衰退,政府財源日益拮据,治水卻是一個不能減少的支出,因此,除了大興土木地興建昂貴的滯洪池、堤防等水利設施,也應思索其他節省預算的配套措施。在前人研究中,沿海低窪地區的魚塭被證實具有滯洪的效果;而在颱風豪雨事件來臨前,配合預先排放的措施,也能有效的降低排水幹線的負擔,減少溢堤的風險。
    因此,為了檢視魚塭預排操作所帶來的效益,本研究以台灣西南部不包含曾文水庫之曾文溪流域與鹽水溪流域作為研究區域,利用地文性淹排水模式(PHD Model)和台灣颱洪災損評估系統(TLAS)做結合,進行不同重現期距下的降雨模擬,並利用不同預排情境來做分析,進而求得預排操作在各情境下所能改善的淹水面積、深度與淹水所造成的經濟損失。
    本研究之結果顯示,在不同重現期距降雨與預排深度的情境下,魚塭預排之操作在越低的重現期距降雨下能帶來越大的淹水改善效益,而隨著降雨的重現期距增加,所能改善的效益逐漸下降。

    The heavy rainfall of Typhoons usually causes nationwide floods, in turn, yielding huge loss of human lives and economics. Taiwan is located in the zone where active tropical cyclone frequently forms in the western Pacific Ocean, so rainfall intensity is typically high yet with very short the concentration time of flow. The growth rate of the population has also increased rapidly in the urban area. The economic loss caused by flood disaster would be higher in the urban area compared to rural area. Therefore, to reduce the loss casing by flood is the main issue for disaster prevention policymakers. There are different measures in flood preventing. Building detention ponds is one of the common counter-measure to reduce the damage of flood, but most of them cost time, land and budget to construct. Fish ponds or fallow land are also known to be used as a temporary detention pond with relatively low cost.
    In order to examine the economic benefit of using fish ponds as a temporary detention pond under different water depth remain in the fish ponds, this study uses the PHD model (Physiographic Drainage-Inundation Model) and the TLAS (Taiwan Typhoon Loss Assessment System) to simulate the property loss due to flood in different return period events. This study choose part of the Chia-Nan plain as an illustrative sample of an area that which is a flood potential area during typhoon and heavy rainfall events. The study area includes Zengwun River watershed and Yanshui River watershed. The study area is about 1,138 km^2.
    The results indicate that with higher return period of the rainfall events, the more flood-containing space in the fish ponds is beneficial to reduce the economic loss. Under different return period of rainfall period, there will be a suitable amount of water should be adjusted before the events occur. Results also show that the benefit of pre-drainage operation in fish ponds decreases when the rainfall intensity increases. From the results, we can provide a reference for better prevention and mitigation operation before and during heavy rainfalls in the future.

    摘要 I Abstract II 誌謝 IV Table of Contents V List of Figures VIII List of Tables XI List of Symbols XII 1. Introduction 1 1.1 Preface 1 1.2 Literature review 3 1.2.1 Flooding simulation 3 1.2.2 Loss assessment system 6 1.3 Motivation and objectives 9 1.4 Framework 10 2. Methodology 11 2.1 Pre-drainage in fish ponds 11 2.2 Physiographic drainage-inundation model 12 2.3 Taiwan typhoon loss assessment system 15 2.3.1 The aggregated geographical data 15 2.3.2 The loss modules 16 3. Numerical Simulation 20 3.1 Study area 20 3.1.1 Zengwun river system 22 3.1.2 Yanshui river system 23 3.1.3 Reservoir overview 23 3.1.4 Digital elevation analysis 24 3.1.5 Land use analysis 24 3.2 PHD model establishment and adjustment 26 3.2.1 The simulation cells 26 3.2.2 Rainfall data 29 3.2.3 Tide level 31 3.2.4 Zengwun reservoir spillway 32 3.3 PHD model verification 34 3.3.1 Typhoon Haitang 35 3.3.2 Typhoon Kalmaegi 40 3.4 Simulation scenarios 46 4. Results and Analysis 47 4.1 Results of inundation simulation 47 4.1.1 Scenario 1 51 4.1.2 Scenario 2 59 4.1.3 Scenario 3 67 4.1.4 Scenario 4 75 4.1.5 Summary discussion 83 4.2 Results of economic loss 88 4.2.1 Results of different scenarios 89 4.3 Analysis on the economic benefit 99 5. Conclusions and Suggestions 102 5.1 Conclusions 102 5.2 Suggestions 104 References 106

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