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  1. NTU Theses and Dissertations Repository
  2. 生物資源暨農學院
  3. 生物環境系統工程學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/17358
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor張倉榮(Tsang-Jung Chang)
dc.contributor.authorChia-Hsiu Changen
dc.contributor.author張嘉修zh_TW
dc.date.accessioned2021-06-08T00:08:36Z-
dc.date.copyright2013-08-20
dc.date.issued2013
dc.date.submitted2013-08-12
dc.identifier.citation1. 張齡方,2000 年,住宅區淹水損失之推估,國立台灣大學生物環境系統工程學系碩士論文。
2. 王如意,2001年,臺北盆地及鹽水溪流域示範區颱洪災害危險度分析,經濟部水資源局。
3. 陳宣宏,2002 年,漫地流與雨水下水道水流交互動態模擬,國立台灣大學生物環境系統工程學系博士論文。
4. 詹士樑、鄧慰先,2002 年,都市洪災防制策略之整合型規劃研究(一)子計劃二:都市型水災避難系統規劃之研究,內政部建築研究所。
5. 王如意,2003 年,水災損失評估系統模式之建立,經濟部水利署。
6. 經濟部水利署水利規劃試驗所,2004年,台中市及周邊排水淹水潛勢與預警系統建立之研究-淹水潛勢建置。
7. 國立台灣大學水工試驗所,2006 年,區域淹水損失圖建立前期計畫-93、94年颱風豪雨及災損調查分析,經濟部水利署。
8. 經濟部水利署水利規劃試驗所,2006 年,台中地區旱溪排水治理計畫。
9. 臺中市政府,2006 年,臺中市淹水原因研究及改善方案規劃-西屯及南屯區。
10. 經濟部水利署,2007 年,塔寮坑溪區域排水整治及環境營造規劃。
11. 經濟部水利署,2007 年,臺灣北部中部及東部易淹水地區移動式抽水機調度先期研究。
12. 王嘉和,2008 年,氣候變遷與地層下陷對台灣西南沿海地區淹水之衝擊評估,國立台灣大學生物環境系統工程學系碩士論文。
13. 張齡方,2008 年,集合住宅淹水深度損失曲線之不確定性分析及其應用,國立台灣大學生物環境系統工程學系博士論文。
14. 經濟部水利署,2009 年,易淹水地區水患治理計畫中央管區域排水塔寮坑溪排水系統規劃報告。
15. 廖烜欣,2009 年,街道與雨水下水道淹排水模式之研究,國立成功大學水利及海洋工程研究所碩士論文。
16. 內政部營建署,2010 年,雨水下水道系統規劃原則檢討,內政部營建署。
17. 國立台灣大學氣候天氣災害研究中心,2010 年,淡水河流域及台北市、台北縣、桃園縣與基隆市淹水潛勢圖更新計畫,經濟部水利署。
18. 經濟部水利署水利規劃試驗所,2010 年,流域數值地形系統淹水模組開發及建置之研究-以大里溪流域為例。
19. 邱建勛,2011 年,建蔽率對都市淹水影響之模擬,國立台灣大學生物環境系統工程學系碩士論文
20. 陳加榮,2011 年,都市化與氣候變異對都會區淹水之衝擊評估-以臺中都會區為例,國立台灣大學生物環境系統工程學系碩士論文。
21. 新北市政府,2011 年,新北市都市計畫規定設置雨水貯留及涵養水分再利用相關設施申請作業規範。
22. 經濟部水利署,2011 年,塔寮坑溪排水系統塔寮坑溪排水治理計畫,經濟部水利署。
23. 臺灣世曦工程顧問有限公司,2011 年,臺北市總合治水總體目標與綱要計畫規劃及推廣業務,臺北市政府工務局水利工程處。
24. 內政部營建署,2012 年,建築基地保水設計技術規範修正規定。
25. 國立台灣大學生態工程研究中心,2012 年,臺灣脆弱度及風險地圖製作與整合應用,經濟部水利署。
26. 國立臺灣大學氣候天氣災害研究中心,2012 年,全球氣候變遷對臺北市雨水下道系統之衝擊及調適策略,臺北市政府。
27. 張倉榮、林國峰、柳文成、潘宗毅、余化龍,2012 年,都會區防洪減災策略之研究-總計畫暨子計畫:都會區內水型洪災耐受度分析及減災策略之研究,行政院國科會。
28. 許銘熙、張倉榮、柳文成、蔡孟原、林依潔,2012 年,歐盟FP7間接參與計畫「都市地區洪災耐受度合作研究計畫-臺北市案例研究」,行政院國科會。
29. 謝豐澤,2012 年,都市化對都會地區淹水程度及洪災損失之衝擊評估-以臺中都會區為例,國立台灣大學生物環境系統工程學系碩士論文。
30. 許銘熙、張倉榮、柳文成、林依潔、陳志鴻,2013 年,臺北市洪災耐受度之研究-歐盟FP7都市地區洪災耐受度合作研究計畫,行政院國科會。
31. 水利署網站,水利統計簡訊。(Web Site)
(http://www.wra. Gov.tw/)
32. 經濟部水利署災害緊急應變系統。(Web Site)
(http://fhy.wra.gov.tw/dmchyv2/)
33. 經濟部水利署易淹水地區水患治理計畫專屬網站(Web Site)
(http://fcp.wra.gov.tw/)
34. Ashley, R.M., Blanskby, J., Newman, R., Gersonius, B., Poole, A., Lindley, G., Smith, S., Ogden, S., Nowell, R. (2012). Learning and Action Alliances to Build Capacity for Flood Resilience, Journal of Flood Risk Management, 5, 14-22.
35. Attoh-Okine, N.O., Univ. of Delaware, Newark, DE, Cooper, A.T., Mensah, S.A. (2009). Formulation of Resilience Index of Urban Infrastructure Using Belief Functions, Systems Journal, IEEE, 3(2), 147-153.
36. Bowker, P., Escarameia, M., Tagg, A. (2007). Improving the Flood Performance of New Buildings–Flood Resilient Construction. Department for Communities and Local Government, London.
37. Cai, Y.P., Huang, G.H., Tan, Q., Chen, B. (2011). Identification of Optimal Strategies for Improving Eco-resilience to Floods in Ecologically Vulnerable Regions of a Wetland, Ecological Modelling, 222, 360-369.
38. Chen, A.S., Djordjevic’, S. (2012). Pluvial Flood Modeling and Hazard Assessment for Large Scale Urban Areas, 10th International Conference on Hydroinformatics, HIC 2012, Hamburg.
39. Dawson, R.J., Ball, T., Werritty, J., Werritty, A., Hall, J.W., Roche, N. (2011). Assessing the Effectiveness of Non-structural Flood Management Measures in the Thames Estuary under Conditions of Socio-economic and Environmental Change, Global Environmental Change, 21, 628-646.
40. De Bruijn, K.M. (2005). Resilience and Flood Risk Management - A Systems Approach Applied to Lowland Rivers, Delft University Press Science.
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42. Frazier, A.E., Renschler, C.S., Miles, S.B. (2013). Evaluating Post-disaster Ecosystem Resilience Using MODIS GPP Data, International Journal of Applied Earth Observation and Geoinformation, 21, 43-52.
43. Gersonius, B., Nasruddin, F., Ashley, R., Jeuken, A., Pathirana, A., Zevenbergen, C. (2012). Developing the Evidence Base for Mainstreaming Adaptation of Stormwater Systems to Climate Change, Water Research, 46, 6824-6835
44. Hsu, C.S., Nicholas, K. (2011). An Experimental Analysis of Resilience in Urban Flood Management in the Taipei Basin, Environmental Studies and Sustainability Science (LUMES), Lund University.
45. Hsu, M.H., Chen, S.H., Chang, T.J. (2002). Dynamic Inundation Simulation of Storm Water Interaction between Sewer System and Overland Flows, Journal of the Chinese Institute of Engineers, 25(2), 171-177.
46. Khailani, D.K., Perera, R. (2013). Mainstreaming Disaster Resilience Attributes in Local Development Plans for the Adaptation to Climate Change Induced Flooding: A Study Based on the Local Plan of Shah Alam City, Malaysia, Land Use Policy, 30, 615-627.
47. Liao, K.H. (2012). A Theory on Urban Resilience to Floods–A Basis for Alternative Planning Practices, Ecology and Society, 17(4): 48.
48. Mens, M.J.P., Klijn, F., de Bruijn, K.M., van Beek, E. (2011). The Meaning of System Robustness for Flood Risk Management, Environmental Science & Policy, 14, 1121-1131.
49. O’Brien. J. S. (2012). FLO-2D Reference manual.
50. Schelfaut, K., Pannemans, B., van der Craats, I., Krywkow, J., Mysiak, J., Cools, J. (2011). Bringing Flood Resilience into Practice: the FREEMAN Project, Environmental Science & Policy, 14, 825-833.
51. Sto. Domingo, N.D., Refsgaard, A., Mark, O., Paludan, B., (2010), Flood Analysis in Mixed-urban Areas Reflecting Interactions with the Complete Water Cycle through Coupled Hydrologic-Hydraulic Modeling, Water Science & Technology, 62, 6, 1386-1394.
52. van Ree, C.C.D.F., Van, M.A., Heilemann, K., Morris, M.W., Royet, P., Zevenbergen, C. (2011). FloodProBE: Technologies for Improved Safety of the Built Environment in Relation to Flood Events, Environmental Science & Policy, 14, 874-883.
53. Wang, S.H., Huang, S.L., Budd, W.W. (2012). Resilience Analysis of the Interaction of between Typhoons and Land Use Change, Landscape and Urban Planning, 106, 303-315.
54. Wardekker, J.A., de Jong, A., Knoop, J.M. van der Sluijs, J.P. (2010). Operationalising a Resilience Approach to Adapting an Urban Delta to Uncertain Climate Changes, Technological Forecasting & Social Change, 77, 987-998.
55. Zevenbergen, C., Veerbeek, W., Gersonius, B., van Herk, S. (2008). Challenges in Urban Flood Management: Travelling across Spatial and Temporal Scales, UNESCO-IHE Institute for Water Education, Delft University of Technology, Netherlands.
56. AVIVA-Flood Support. (Web Site)(http://www.floodresilienthome.com/)
57. CORFU FP7 Collaborative research on flood resilience in urban areas. (Web Site)
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58. SMARTeST, National and Kapodistrian University of Athens. (Web Site)
(http://tech.floodresilience.eu/flood-resilience-measures)
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/17358-
dc.description.abstract近年來由於快速都市化及全球氣候變異導致重大洪災事件頻繁發生,使得都市地區每每受到洪災影響皆產生淹水災情及金額損失。本研究以新北市塔寮坑溪流域及臺中市旱溪流域作為研究對象,探討都市化過程中災害損失變化情形,並找尋調適策略以降低災害損失、提升都會區耐受度。本研究所使用的地表淹水模式中反映都市化之影響因子,加入調適策略設定進行模擬,並以2004年艾利颱風淹水事件驗證塔寮坑溪流域之模式,以2008年卡玫基颱風淹水事件驗證旱溪流域之模式,透過實測淹水資料範圍及淹水模擬結果比對,兩研究區域之模式模擬淹水趨勢皆大致符合實測淹水資料。
本研究根據研究文獻及臺灣現有法規,找出三種適用於臺灣地區之耐災工程性策略,分別為滯洪池、建築物貯留、移動式抽水機,藉由淹水模式建立模擬情境,各自比較三樣調適策略之調適效果。之後也根據土地利用情形建立都市化前(1997年)情境、現況(2007年)情境,及現況加調適策略情境和現況加擴大調適策略情境,並以25年及100年重現期距雨量進行模擬,將淹水模擬結果結合土地利用災損資料,分析討論都市化前後災害損失變化和調適策略之減災效能。研究結果顯示滯洪池為三樣調適策略中效果表現較佳之策略。在25年重現期降雨模擬下,現況加調適策略和現況加擴大調適策略兩情境,大致可將現況之災損降低至接近都市化前之災損程度;但在100年重現期距之大雨量影響下,調適策略效果明顯減少,顯示工程性調適策略之極限和不足。未來都會區應建議以非工程性調適策略提升都市耐受度,以因應在淹水事件發生時,能有效地降低災害損失及快速回復都市運作機能。
zh_TW
dc.description.abstractIn recent years, urban areas suffer from flood disasters and flood damage losses due to the combined effects of rapid urbanization and large scale flooding events caused by global climate anomaly. This research selects Ta Liao Keng Drainage in New Taipei City and Han Drainage in Taichung City as the study cases, and discusses the changes in flood damage losses of urbanization, surveying appropriate adjustment strategies to reduce flood damage losses and enhance urban resilience. The present flood inundation model considers the urbanization factors and sets various adjustment strategies to conduct flood inundation simulations. The flood inundation model is confirmed with the flooding event of Typhoon Aere (Year 2004) in Ta Liao Keng Drainage and of Typhoon Kalmaegi (Year 2008) in Han Drainage. In comparison with the flood investigation data and the simulated results, the numerical predictions in the selected two study cases are matched to the real investigation data finely.
This research surveys several related references and existing regulations in Taiwan about the strategies for engineering resilient adjustments, and selects three main adjustment strategies (i.e. detention pond, building retention, and transient pump) that are suitable for reducing the flood damage losses regarding urban areas in Taiwan. Through the modeling scenarios conducted in the flood inundation model, this research compares the efficiency of three adjustment strategies, and then establishes various modeling scenarios such as scenario 1: before urbanization (land use data of year 1997), scenario 2: current status (land use data of year 2007), scenario 3: current status with the total adjustment strategies, and scenario 4: current status with the ampliative total adjustment strategies. The modeling scenarios are simulated by repeating 25-year and 100-year return period rainfalls. Furthermore, the present research combines the flood simulated results and flood damage losses of different land use data to analyze the changes in flood damage losses between scenario 1 and scenarios 2 to 4 and discuss the mitigation efficiency of the selected adjustment strategies.
Based on the simulated results, this research indicates that the detention pond presents the best mitigation efficiency among three adjustment strategies. In the simulated results of 25-year return period rainfall, the effects of the total adjustment strategies and the ampliative ones can reduce flood damage losses of scenario 2 to be close to that of scenario 1. However, in the simulated results of 100-year return period rainfall, the mitigation efficiency of the adjustment strategies declines obviously. This result demonstrates that engineering adjustment strategies have limitations and insufficiency on the extreme rainfall events. In the future, enhancing urban resilience for urban areas by the non-engineering adjustment strategies is suggested. When serious flood events happen, urban areas of concern can effectively reduce flood damage losses and recover urban function as usual soon.
en
dc.description.provenanceMade available in DSpace on 2021-06-08T00:08:36Z (GMT). No. of bitstreams: 1
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Previous issue date: 2013
en
dc.description.tableofcontents摘 要 II
ABSTRACT III
CONTENTS VI
LIST OF FIGURES VIII
LIST OF TABLES XI
Chapter 1 Introduction 1
1.1 Preliminaries 1
1.2 Review of literatures 2
1.3 Purpose of the thesis 4
Chapter 2 Research method 6
2.1 Theory of flood inundation model 6
2.2 Flood damage loss assessment 21
Chapter 3 Descriptions of study cases 29
3.1 Summaries of cases 29
3.1.1 Ta Liao Keng Drainage 29
3.1.2 Han Drainage 30
3.2 Data resource 31
3.2.1 Topographic data 31
3.2.2 Hydrological data 33
3.2.3 Constructions of GIS system 35
3.3 Confirmation of model 37
3.4 Adjustment strategies 38
Chapter 4 Results and discussion 59
4.1 Comparison between three adjustment strategies 60
4.2 Analysis of different modeling scenarios 63
4.2.1 Simulated results of 25-year return period rainfall 63
4.2.2 Simulated results of 100-year return period rainfall 68
4.3 Non-engineering resilient strategies 72
Chapter 5 Conclusions and suggestions 95
5.1 Conclusions 95
5.2 Suggestions 98
REFERENCES 99
dc.language.isoen
dc.title都會區洪災耐受度分析zh_TW
dc.titleInvestigation on Flood Resilience in Urban Areasen
dc.typeThesis
dc.date.schoolyear101-2
dc.description.degree碩士
dc.contributor.oralexamcommittee許銘熙,柳文成,賴進松
dc.subject.keyword淹水模擬,都市化,耐受度,調適策略,災害損失評估,zh_TW
dc.subject.keywordFlood inundation model,Urbanization,Resilience,Adjustment strategies,Flood damage assessment,en
dc.relation.page106
dc.rights.note未授權
dc.date.accepted2013-08-12
dc.contributor.author-college生物資源暨農學院zh_TW
dc.contributor.author-dept生物環境系統工程學研究所zh_TW
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