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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/123456789/74716
完整後設資料紀錄
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dc.contributor.advisor林裕彬 (Yu-Pin Lin)
dc.contributor.authorLi-Chun Pengen
dc.contributor.author彭麗春zh_TW
dc.date.accessioned2021-06-17T09:06:25Z-
dc.date.available2021-02-19
dc.date.copyright2021-02-19
dc.date.issued2021
dc.date.submitted2021-02-05
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/74716-
dc.description.abstract全球暖化氣候變遷是人類正面臨的挑戰,聯合國科學組織IPCC在全球的敦促下陸續發布了氣候變遷的科學報告,各國政府也相繼提出因應策略,2015年聯合國氣候大會通過巴黎協定,期望各國能共同合作削減溫室氣體的排放來減緩全球暖化的趨勢,即使如此我們仍然必須面對全球升溫可能在2030~2052年達到1.5°C的情境,地球的水資源在這個變遷下必然會受到衝擊,因此須有調適策略來因應這個改變,本研究以因應氣候變遷選擇水資源調適方案作為主題。
本研究以花蓮為研究區域,首先用傳統的系統動力模式檢驗氣候變遷造成缺水情境的未來變化,再據以提出調適方案,然後利用資訊空隙決策方法對不同方案做系統性的績效評估,模擬出每一方案的不同缺水缺口所對應的強健度,協助決策者選擇調適方案;生態系統服務的概念自1981年被提出之後,因其可以量化生態系統服務的價值,所以已普遍將之納入水資源管理的決策系統,本研究以水文生態系統服務作為指標,量化四項水文生態系統服務功能的未來變化,並探討各項服務受氣候變遷影響其熱點分布的變化;環境議題在決策時行政運作上,常高度倚賴專家意見,邀請專家參與決策,本研究認為不同領域專家對生態系統服務的觀點差異,可能是決策風險的一個來源,因此本研究以專家問卷進行分析,了解專家對於生態系統服務的評價與其專業背景的關聯性,並比較其支付意願的差異,探討了不同領域專家選擇調適方案的優先考量因素,據此我們可以知道專業領域認知差異如何影響決策的選擇。
本研究從量化的工程系統指標出發,利用了非傳統量化指標分析的新方法:資訊空隙決策法,來協助在氣候變遷情境下進行決策分析,另也用近年新發展的水文生態系統服務為指標,探討氣候變遷對各項服務功能的影響,最後利用專家問卷分析不同領域專家的觀點,如何對決策過程造成影響,希望這個在決策端所做的研究,可以拋磚引玉帶動更多的決策技術的精進,讓我們在面臨氣候變遷的挑戰之下,可以更有效的找到最合宜的調適方案,迅速的走出環境發展的困境,看見實績。
zh_TW
dc.description.abstractGlobal warming such a climate change is a challenge that human being is encountering nowadays. Per urging under global expectation the science organization of the United Nations, IPCC (Intergovernmental Panel on Climate Change) has released a series of assessment reports. Many national governments accordingly declared the strategy in response to such a global pressure. In 2015 Paris Agreement was approved in UNFCCC (COP21) in a hope that all countries can unify to cut GHG emission and to slow down the global warming speed. Even this action is realized, the Earth still will face the situation that it is warmed up to 1.5°C in 2030~2052. In this case, Earth’s water resource must receive strong impact; therefore, adaptation strategy is urgently needed. This study would conduct such a thematic approach to work on how to choose optimal water resource adaptation plan under the threat of the climate change.
This study selects Hualien as the experimental area. The first sub-project is still a conventional task to evaluate the water deficiency by modeling of system dynamics under future scenarios predicted by the assessment reports of IPCC. A set of adaption plans are accordingly proposed to relieve the deficiency crisis; thereafter IGDT method is adopted to select the optimal one by considering the robustness of the plans. The second sub-project is to apply the function indices of ecosystem services into the consideration. The concept of ecosystem service was published in 1981. It is then adopted into decision process for water adaptation since it can quantify the service changes. This study utilized four indices from hydrological ecosystem service to evaluation the future service changes under global warming. Also used is to analyze the spatial hot spots which helps to locate the significant local change. The last sub-project herein is related to the expert’s opinion in decision process. Experts with relevant knowledges are commonly invited to participate the decision making and sometimes highly relied on. Nevertheless, the viewpoints of different experts from different knowledge fields are occasionally various. This study would like to analyze the influence that experts’ different opinions can cause the risk in decision making. A survey 46 expert questionnaires is conducted; therein, willingness to pay is also embedded. Based on the results on the correlation and levels of willingness, this study can qualitatively discriminate how experts’ knowledge backgrounds make the priority difference in decision making.
This dissertation approach initiated from quantitative engineering index and further incorporated unconventional method: IGDT to help clarify the priority of the plans under consideration of future climate change. Also this approach adopted the concept of the hydrological ecosystem service and used its changes on service functions to assess the feasibility of possible adaptation plans. The last sub-project is to conduct an expert questionnaire for the purpose of understanding what influence would be made in decision process if participants are from different knowledge fields. It is hoping such work on optimizing decision process can further encourage more future relevant studies. Soon the scientific outcomes can be accumulated enough to enable the refinement of the decision process and help efficiently sort out the most appropriate adaptation plan. After all human society may have better chance to find a way out of the dilemma caused by global warming.
en
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Previous issue date: 2021
en
dc.description.tableofcontents致謝…………………………………………………………………………………… I
摘要…………………………………………………………………………………… Ⅱ
Abstract………………………………………………………………………………. Ⅲ
目錄………………………………………………………………………………….... Ⅴ
圖目錄……………………………………….………………………………………... Ⅷ
表目錄……………………………………………………………………………........ IX
第一章 緒論………………………………………………………………………….. 1
一、研究動機…………………………………………………………….........……… 1
二、研究架構……………………………………………………………………......... 2
三、研究架構圖………………………………………………………………………. 4
第二章 前言與文獻回顧……………………………………………………………... 5
一、研究主題1-1 檢驗氣候變遷下未來缺水情境的變化………………………... 5
二、研究主題1-2 以IGDT選擇合宜的水資源調適方案………………………... .6
三、研究主題2 利用生態系統服務功能的改變探討氣候變遷造成的影響…….. .8
四、研究主題3 利用專家問卷與支付意願調查分析強化決策的周延性……….. 10
第三章 研究區域與方法……………………………………………………………...12
一、研究區域…………………………………………………………………………. 12
二、系統模式與IGDT方法………………………………………………………….. 14
1.GWLF模式(Generalized Watershed Loading Function)..………………......14
2.系統動力模式…………………………………………………………...….. 15
3.資訊空隙決策方法IGDT(Information-Gap Decision Theory)…………..... 18
三、水文生態系統服務…………………………………………................................. 19
1.環境服務及權衡綜合評估模式InVEST(Integrated Valuation of Ecosystem Services and Tradeoffs)………………………………………....................... 19
2.區域空間相關量測指標LISA (Local Indicators of Spatial Association)......21
四、專家意見與知識影響生態系統服務的排序與支付意願……………………….22
1.問卷設計及資料蒐集………………………………………………………. 22
2.樣本及統計分析…………………………………………………………….24
3.條件評估法CVM (Contingent Valuation Method)…………………………24
4.序位評估法(Ordinal Position Value Method)……………………………… 25
第四章 利用IGDT方法選擇適切的水資源管理調適方案……………………...... 27
一、簡介……………………………………………………………………………….27
二、AR4與AR5的模擬結果比較………………………………….……………......28
三、IGDT強健度分析的特點……………………………………….……………..... 31
四、其他可能的方案選項…………………………………………….……………....33
五、小結……………………………………………………………………………….34
第五章 氣候變遷下的水文系統服務變化-以池南集水區為例……………….…… 36
一、簡介……………………………………………………………………………….36
二、年際和年內水文生態系統服務變化的比較…………………………………….37
三、各種大氣模式在小區域的適用性…………………………………………….…43
四、LISA模擬結果有助於確定熱點的空間分佈特徵……………………………...44
五、小結…………………………………………………………………………….....46
第六章 專家意見和知識如何影響對生態系統服務的排序及支付意願…………...48
一、簡介……………………………………………………………………………….48
二、專業領域與對生態系統服務重要性認同、支付意願之間的關係………….…51
三、維護生態系統服務的必要性………………………………………………….....53
四、決策的專業偏好……………………………………………………………….....55
五、水資源管理的跨領域特徵…………………………………………………….....58
六、小結…………………………………………………………………………....….61
第七章 結論與建議…………………………………………………………………...62
一、面對氣候變遷的水資源的挑戰是我們無法逃避的命運………………….....…62
二、將水文生態系統服務納入決策是水資源永續管理的重要方法………….....…64
三、新型態的治理必須多元化的廣納專家參與決策…………………….....………66
參考文獻
附錄
1.彭麗春、連宛渝、林韋志、何智超、洪念民、林裕彬,農業工程學報,63:2 2017.06……………………………………………………………………………83
2.Li-Chun Peng, Yu-Pin Lin, Guan-Wei Chen and Wan-Yu Lien,Water 2019, 11, 867………………………………………………………………………………...96
3.Li-Chun Peng, Wan-Yu Lien and Yu-Pin Lin, Sustainability 2020, 12, 10055….116
4.問卷……………………………………………………………………………...134
dc.language.isozh-TW
dc.title因應氣候變遷之水文生態系統服務水資源管理調適方案
zh_TW
dc.titleChoosing Optimal Water Management Adaptation Plan by Considering the Level of Hydrological Ecosystem Services under the Climate Changeen
dc.typeThesis
dc.date.schoolyear109-1
dc.description.degree博士
dc.contributor.author-orcid0000-0001-5096-7269
dc.contributor.oralexamcommittee吳瑞賢(Ray-Shyan Wu),黃文政 (Wen-Cheng Huang),闕蓓德(Pei-Te Chiueh),張斐章 (Fi-John Chang),童慶斌(Ching-pin Tung)
dc.subject.keyword氣候變遷,資訊空隙決策法,水文生態系統服務,水資源調適方案,決策過程,zh_TW
dc.subject.keywordClimate Change,Information Gap Decision Theory (IGDT),Hydrological Ecosystem Service,Water Resource Adaptation Plan,Decision Process,en
dc.relation.page138
dc.identifier.doi10.6342/NTU202100332
dc.rights.note有償授權
dc.date.accepted2021-02-07
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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