English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113311/144292 (79%)
Visitors : 50939419      Online Users : 941
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/60761


    Title: 因應氣候變遷之洪災調適策略規劃
    Other Titles: Flood Adaptation Strategic Planning in Response to Climate Change
    Authors: 賴炳樹;白仁德
    Lai,Bing-Shu;Pai,Jen-Te
    Contributors: 政大地政系
    Keywords: 分析網路程序法(ANP);洪災;調適
    Analytical network process;Flood;Adaptation
    Date: 2012-03
    Issue Date: 2013-09-12 17:39:13 (UTC+8)
    Abstract: 由於全球氣候變遷現象,使得臺灣將面對更高頻率、嚴重的天然災害。由於臺灣山坡地地質脆弱、坡度陡峭、河川湍急短促,屢屢釀成土石流失、崩塌及土石流在颱風、豪雨季節,地震與颱洪災害是臺灣最常面對的天然災害,臺灣可能是世界最脆弱的地區,臺灣約有73%的人口是居住在有三種以上災害可能衝擊之地區,特別是在1999年921地震後土石鬆軟,颱風帶來得豪雨使得坡地區土石流瀕傳或低窪地區淹水,鑒於臺灣位於極易受災的地區,如何針對各層級的國土空間規劃與管理上考慮減低其脆弱因子,提升回復能力的手段,已成為重要的研究課題。因此本研究嘗試應用這些概念在都市空間規劃與管理並建立評估指標與模式,本研究目的為應用衝擊矩陣與分析網路程序法於洪災調適策略規劃。希望透過本研究能夠建立具體可操作,並適用於都市之調適策略評估指標與模式,將可提供各級政府制定相關空間規劃政策與災害管理政策。
    With the phenomenon of global climate change, Taiwan will face more frequently and severe natural disasters. Due to the weak geology, steep slope, high gradient and rapid velocity of stream, Taiwan was usually suffered from soil erosion, landslide and debris flow during the typhoon and torrential rainfall season. Earthquake, typhoon and flood are the most common natural disasters in Taiwan. Taiwan may be the most vulnerable area in the world, because 73% of the people live in the places where at least 3 natural hazards may impact. The 921 earthquake in 1999 caused softy of soils and sands which led to debris flow whenever there is heavy rainfall. Since Taiwan is located in disasters vulnerable area, how to reduce vulnerabilities and enhance resilience thus become very important issues for spatial planning and management in different level governments should consider some measures to reduce vulnerabilities and enhance resilience. Therefore, this study tries to applying these concepts to urban level spatial planning and management and establishes assessment indictors and model. The purpose of this research is to apply impact matrix and analytical network process to flood adaptation strategic planning. This study will finally establish a proper adaptation strategy assessment model which is suitable in urban level. Through this kind of research as well as others in different spatial levels, we will provide some principles and strategies for future spatial planning and disaster management policies.
    Relation: 災害防救科技與管理學刊, 1(1), 81-100
    Data Type: article
    Appears in Collections:[地政學系] 期刊論文

    Files in This Item:

    File Description SizeFormat
    82101.pdf2183KbAdobe PDF2980View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback