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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 童慶斌 | |
dc.contributor.author | Pei-Yuan Chen | en |
dc.contributor.author | 陳沛芫 | zh_TW |
dc.date.accessioned | 2021-06-17T02:15:32Z | - |
dc.date.available | 2018-01-04 | |
dc.date.copyright | 2018-01-04 | |
dc.date.issued | 2017 | |
dc.date.submitted | 2017-10-17 | |
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dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/68241 | - |
dc.description.abstract | 韌性社區為具有受影響可迅速恢復正常運作能力之社區,換言之,即具備縮短受災影響程度及時間能力之社區。本研究以社區受到氣候變遷高溫暴雨衝擊之危害為議題,發展相關方法及工具以強化氣候調適六步驟,協助決策者進行社區氣候相關風險評估及調適行動決策,並以提高社區韌性為目標;研究重點以社區減洪能力為主,環境熱舒適度為輔,並以新竹之設計案例社區為例,說明相關方法於氣候調適六步驟之應用。本研究建立小時氣象合成模式,以評估未來極端天氣對社區下水道溢淹及熱舒適度之衝擊;也建構最佳化模式以了解不同低衝擊開發設施配置對於社區整體排水能力之影響;另外也發展面對氣候變遷增強暴雨強度衝擊下社區排水系統改善之調適路徑圖,以及調適路徑監測與修正方法。小時尺度之氣象合成模式可以產生未來的小時溫度及降雨,並結合降雨強度-延時-頻率曲線分析方法,提供決策者氣候變遷下設計暴雨等資訊,透過低衝擊開發設施規劃協助進行有效的調適。低衝擊開發設施篩選方法及最佳化模式可協助配置與成本規劃之決策,藉由下水道排水評估,可了解社區不同規劃配置對排水之影響,探討社區尺度低衝擊開發設施之種類、性質與排列方式與社區排水韌性的影響。另外,調適路徑圖的訂定,可以做為氣候變遷調適行動方案決策與執行之依據,透過對各個調適行動項目進行分析,探討其先後順序及維持系統成功之有效性及期限,調適路徑監測與修正則協助調整調適路徑,以確保社區藉由調適降低極端降雨下之下水道溢淹風險,提升社區面對氣候變遷暴雨衝擊之韌性。 | zh_TW |
dc.description.abstract | Resilient community is able to return to work normally soon after being influenced, which means that it is a community with the capacity to reduce the effects and time of the impacts. This study modifies and develops approaches to facilitate the systematic procedure of climate adaptation and help build the resilience of communities facing the impact of extreme precipitation and temperature under climate change. The study focuses mainly on the drainage capacity while supplemented by thermal comfort of the communities. Moreover, the procedure of decision-making is applied to a design case in Hsinchu, Taiwan, to demonstrate the steps needed for enhancing the resilience of a community. The developed methods include hourly precipitation generator, LID selection method, spatial optimization planning, analysis method of adaptation pathway, and monitoring and modification of adaptation pathways. The hourly precipitation generator is developed for assessing the risk of pluvial flood in future climate scenarios, and the daily maximum and minimum temperature are used to evaluate the risk of thermal comfort. Moreover, the study establishes spatial optimization model to identify the optimal low impact development (LIDs) layouts for reducing floods. Based on the effects of the adaptation measures, an adaptation pathway map can be build up to inform the decision-making of implementing the adaptation plan. Furthermore, the monitoring and modification of adaptation pathway triggers necessary adjustments to ensure that the adaptation measures can successfully reduce the risk of the drainage system and the thermal stress of the community. On the whole, the developed methods required in the decision-making procedure is able to increase the resilience of a community under climate change. | en |
dc.description.provenance | Made available in DSpace on 2021-06-17T02:15:32Z (GMT). No. of bitstreams: 1 ntu-106-D00622012-1.pdf: 5994823 bytes, checksum: c2770760a7aba056daef0fe0ea2efa5c (MD5) Previous issue date: 2017 | en |
dc.description.tableofcontents | 謝誌 i
摘要 ii Abstract iii 目錄 iv 圖目錄 viii 表目錄 xi 第1章 緒論 1 1.1 研究動機 1 1.2 研究目的 4 1.3 研究架構 5 第2章 文獻回顧 9 2.1 氣候變遷下社區風險與調適 9 2.1.1 氣候變遷對社區帶來的風險 9 2.1.2 社區面對高溫多雨之調適 11 2.2 韌性社區發展 14 2.3 風險評估相關方法 15 2.3.1 氣象合成模式 15 2.3.2 淹水評估方法 17 2.3.3 舒適度評估方法 19 2.4 韌性社區低衝擊開發規劃 21 2.5 調適路徑分析 24 2.6 調適路徑監測與修正 27 第3章 研究方法 30 3.1 氣候調適六步驟 30 3.2 小時尺度氣象合成模式與風險評估輸入資料處理 37 3.2.1 小時降雨合成模式 40 3.2.2 風險評估輸入資料與設定 42 3.3 空間配置最佳化模式建構 53 3.3.1 低衝擊開發設施配置模式 53 3.3.2 模擬退火演算法 60 3.4 調適路徑規劃 61 3.5 調適路徑監測與修正 70 3.5.1 制定環境監測計畫 70 3.5.2 制定調適路徑修正計畫 73 第4章 研究案例設計 75 4.1 配置單元設定 75 4.2 模式模擬參數設定 77 4.2.1 暴雨管理模式SWMM 77 4.2.2 微氣候模式ENVI-met 83 4.3 場地條件說明及LID篩選 86 第5章 氣候變遷調適行動計畫建構案例 91 5.1 界定問題與設定目標 91 5.1.1 關鍵議題之界定 91 5.1.2 跨領域關聯分析 93 5.1.3 目標之設定 94 5.2 評估與分析現況風險 96 5.2.1 歷史事件之風險分析 96 5.2.2 利用現況氣象資料進行風險評估 99 5.3 評估與分析未來風險 103 5.3.1 情境設定 103 5.3.2 評估基期風險 106 5.3.3 評估未來風險 112 5.3.4 比較基期與未來之風險差異 120 5.4 界定與評估調適選項 122 5.4.1 界定調適選項 122 5.4.2 評估調適選項 128 5.5 規劃與執行調適路徑 133 5.6 監測與修正調適路徑 139 5.6.1 制定環境監測計畫 139 5.6.2 制定調適路徑修正計畫 140 第6章 結論與建議 143 6.1 結論 143 6.2 建議 145 參考文獻 147 | |
dc.language.iso | zh-TW | |
dc.title | 韌性社區氣候風險評估暨調適決策之方法發展 | zh_TW |
dc.title | Methodology Development of Climate Risk Assessment and Adaptation Decision-making of a Resilient Community | en |
dc.type | Thesis | |
dc.date.schoolyear | 106-1 | |
dc.description.degree | 博士 | |
dc.contributor.oralexamcommittee | 林裕彬,李明旭,黃國倉,林子平 | |
dc.subject.keyword | 韌性社區,氣候風險,氣候調適,調適路徑,氣象合成模式,空間最佳化模式, | zh_TW |
dc.subject.keyword | Resilient Community,Climate Risk,Climate Adaptation,Adaptation Pathway,Weather Generator,Spatial Optimization Model, | en |
dc.relation.page | 157 | |
dc.identifier.doi | 10.6342/NTU201704303 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2017-10-18 | |
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 |
顯示於系所單位: | 生物環境系統工程學系 |
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