臺灣博碩士論文加值系統

台灣西南沿海區域地層下陷情況嚴重，其中雲林地區下陷面積為全國最大。近年來地層下陷之中心漸漸往內陸移動。在全球氣候變遷下，地層下陷不僅增加災害脆弱度，亦使更多區域暴露在颱洪災害之威脅下，為能合理應用資源於改善措施上，降低脆弱度，減少颱洪災害損失，因此須瞭解受災區域之脆弱程度。
本研究應用區域為雲林北部，首先蒐集降雨與潮位資料，雨量分析採用雲林北部沿海之雨量站資料，潮位分析採用麥寮潮位站資料。得到降雨與潮位之機率分佈後，利用拉丁超立方取樣法對降雨與潮位之累積機率分佈取樣，將取樣資料做為一維SOBEK模式之邊界條件，模擬渠道最高水位，探討潮位對於渠道水位之影響。
為了瞭解地層下陷與淹水潛勢間之關係，將蒐集到之地層下陷觀測數據利用克利金法作空間內插，製作出地層下陷量之等高線圖，套疊至原雲林北部數值高程模型，得出新的數值高程模型。使用前面水理分析方法得出之25年渠道水位作為設計堤高，將不同重現期洪水帶入二維SOBEK淹水模式，模擬在不同數值高程模型各重現期洪水之淹水面積，將模擬結果加入脆弱度指標，分析研究區域內各鄉鎮市之脆弱程度。

Landsubsidence has become worse in southwest coastal areas of Taiwan; in which, Yunlin is one of the most severe subsidence county in Taiwan. Recently, the center of subsidence cone has gradually migrated inland. Under the global climate change, the subsidence not only increases the vulnerability of disaster, but also threatens more area with flood disasters. For allocating reasonable resources on improvement work, reducing the vulnerability, and decreasing flood disaster losses, therefore investigating the level of vulnerability in disaster areas is necessary.
The study area is located in the Northern Yunlin Country. First, the observation data of rainfall and sea levels were collected. Data from Northern Yunlin coastal rainfall stations and Mailiau station are adopted for frequency analysis. Latin Hypercube sampling (LHS) method is later applied to produce samples of rainfall and sea level, which are treated as the external forcing and boundary condition of SOBEK 1D model. The simulation results are used to evaluate the distributions of channel peak water level, and to investigate the effect of rainfall and sea levels to channel water levels.
To understand the relationship between the subsidence and flooding potential, we use the subsidence data by kriging method for spatial interpolation, creating contour maps of the subsidence. Combining the created contour map with the Northern Yunlin digital elevation model, we may produce a new digital elevation model. Levee protection levels based on 25 years channel water level probabilistic distribution are taken into account for evaluating the inundation area by SOBEK 1D2D model, taking account several flood return periods with different digital elevation model. The vulnerability index is added to simulation results, and used to evaluate the vulnerability for each town within the study area.

誌謝 I
摘要 II
ABSTRACT III
符號說明 IV
目錄 V
表目錄 VII
圖目錄 IX
第一章、緒論 1
1.1 前言 1
1.2 研究動機與目的 2
1.3 文獻回顧 2
1.4 研究步驟 5
1.5 章節介紹 6
第二章、研究方法與理論基礎說明 7
2.1 降雨與潮位頻率分析方法 7
2.1.1 降雨頻率分析 8
2.1.2 潮位頻率分析 9
2.2　不確定性分析 12
2.3 克利金法介紹 13
2.4 水理模式理論介紹 14
2.5 脆弱度介紹 17
2.5.1 脆弱度指標 17
2.5.2 脆弱度指數 17
第三章、應用區域之水理分析 19
3.1 研究區域概述 19
3.1.1 水文、地文資料 19
3.1.2 雲林北部排水系統介紹 21
3.2 渠道水位不確定性分析 22
3.3 渠道水位重現期探討 23
3.3.1 施厝寮排水系統 24
3.3.2 有才寮排水系統 26
3.3.3 海口大排排水系統 28
3.3.4 馬公厝排水系統 30
3.3.5 舊虎尾溪排水系統 32
第四章、應用區域脆弱度評估 39
4.1 地層下陷與淹水潛勢之關係 39
4.1.1 模式設定 39
4.1.2 模擬成果 43
4.2 脆弱度指數 52
第五章、結論與建議 57
5.1 結論 57
5.2 建議 58
參考文獻 59
附錄1 62
附錄2 63
附錄3 64

〔1〕經濟部水利署水利規劃試驗所(2006)，「區域排水整治及環境營造規劃參考手冊」，著者發行，臺中。
〔2〕H.P.Ritzewa.(1994) “Drainage Principles and Applications”, International Institute for Land Reclamation and Improvement.
〔3〕Government of the Hong Kong Special Administrative Region.(2013) “Stormwater Drainage Manual–Planning, Design and Management”.
〔4〕The National Water Agency and The Institution of Engineers Singapore.(2013) “Managing Urban Runoff-Drainage Handbook”.
〔5〕US Environmental Protection Agency.(2009) “Technical Guidance on Implementing the Stormwater Runoff Requirements for Federal Projects under Section 438 of the Energy Independence and Security Act.”,Washington.
〔6〕CIRIA.(2007) “Sustainable Urban Drainage System Manual”, London.
〔7〕張胤隆等(2013)，「水文地文區域不確定性對西南沿海淹水敏感區之影響研究」，經濟部水利署水利規劃試驗所，臺中。
〔8〕M.J. Dixon and J.A. Tawn.(1994) “ Extreme Sea-Levels at the UK A-class Sites: Site-by-Site Analyses”, Proudman oceanographic Laboratory, Birkenhead.
〔9〕Ivan D Haigh, et al.(2010) “A comparison of the main methods for estimating probabilities of extreme still water levels”, Coastal Engineering.
〔10〕Middleton and Thompson.(1986) “ Return periods of extreme sea levels from short records”.
〔11〕Pugh.(1987) “Tides, Surges and Mean Sea-Level”.
〔12〕Suthons.(1963) “Frequency of occurrence of abnormally high sea levels on the east and south coasts of England”.
〔13〕Jonathan A.Tawn.(1988) “ Extreme Value Theory with Oceanographic Applications”, University of Surrey, doctoral thesis.

〔14〕Jonathan A.Tawn.(1988) “An Extreme-Value Theory Model for Dependent Observations, Journal of Hydrology”.
〔15〕Jonathan A.Tawn.(1992) “Estimating Probabilities of Extreme Sea-Levels”, Journal of the Royal Statistical Society. Series C (Applied Statistics).
〔16〕Melching C.S.(1995) “computer Models of Watershed Hydrology”, Reliability Estimation, Singh Vijay P.,ed., Littleton, Colorado, WRP.
〔17〕楊錦釧、湯有光(2007)，「影響水利建造物（蓄水建造物除外）功能之風險因子探討與分析程序之建立(1/2) 」，經濟部水利署，臺北。
〔18〕楊錦釧、湯有光(2007)，「影響水利建造物（蓄水建造物除外）功能之風險因子探討與分析程序之建立(2/2) 」，經濟部水利署，臺北。
〔19〕游保杉(1997)，「分佈型降雨-逕流模式之不確定性分析」，農業工程學報第43卷第3期。
〔20〕陳柏宏(2007)，「權重克利金模式之發展與應用」，國立交通大學土木工程研究所碩士論文。
〔21〕鄭國璘(2007)，「應用克利金法於近岸水深地形資料推估之研究」，國立台灣海洋大學河海工程學系碩士論文。
〔22〕Marsily,G.de.(1986) “Quantitative Hydrogeology Groundwater Hydrology for Engineers.Academic Press”.
〔22〕洪鴻智(2014)，「河川流域颱風災害損失與地區脆弱度-莫拉克颱風為例」，地理學報第七十四期。
〔22〕Eakin,H.and A.L.Luers.(2006) “Assessing the vulnerability of social-environmental systems”.
〔24〕國家災害防救科技中心(2010)，「脆弱度及風險地圖分析方法之研究」。
〔25〕余宗賢(2012)，「嘉義市地方氣候變遷調適計畫」。
〔26〕黃羿豪(2015)，「考量降雨及潮位不確定性之區域排水防洪風險分析研究」，國立交通大學土木工程研究所碩士論文。
〔27〕經濟部水利署水利規劃試驗所(2009)，「雲林北部沿海地區綜合治水規劃」，著者發行，臺中。
〔28〕Kuo et al.(2007) “Risk Analysis for Dam Overtopping-Feitsui Reservoir as a Case Study”, Journal of Hydraulic Engineering, 133:8.
〔29〕Yen-Chang Chen et al.(2013) “Uncertainties in the Methods of Flood Discharge Measurement”, Water Resource Management, 27, pp.153-167.
〔30〕Deltares.(2015) “Sobek User Manual”.