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請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/37362
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor林國峰
dc.contributor.authorJr-Wei Chiouen
dc.contributor.author邱致瑋zh_TW
dc.date.accessioned2021-06-13T15:25:35Z-
dc.date.available2013-08-16
dc.date.copyright2011-08-16
dc.date.issued2011
dc.date.submitted2011-08-11
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34. Tripathi, S., Srinivas, V. V. and Nanjundiah, R. S. (2006). 'Dowinscaling of precipitation for climate change scenarios: A support vector machine approach.' Journal of Hydrology 330(3-4): 621-640.
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43. 周仲島,2007,「氣候變遷對災害防治衝擊調適與因應策略整合研究─子計畫:臺灣地區劇烈降雨與侵臺颱風變異趨勢與辨識研究 (I) 」,國家科學委員會研究計畫報告。
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/37362-
dc.description.abstract氣候變遷是一個重要的研究議題,國際間研究氣候變遷下對颱風的影響更是受到許多學者高度重視。在颱風期間內,颱風所帶來的暴雨、洪水及土石流等災害在臺灣經常導致人民生命及財產損失。首先,本研究為探討氣候變遷下臺灣颱風警報天數之未來變化趨勢,使用氣候變數資料為NCEP/NCAR再分析資料和在SRES排放情境下之大氣環流模式 (General Circulation Model, GCM) 模擬資料,包括海平面氣壓、地表之緯向風速和地表之經向風速三種氣候變數。其次,以支援向量機建立多個氣候變數和颱風警報天數之間的非線性關係。最後,根據不同的未來氣候情境之各種GCM模擬資料輸入模式,進而推估在不同的氣候情境下臺灣颱風警報天數之未來可能變化趨勢。由結果顯示,所使用之三種氣候變數對於推估颱風警報天數皆具有一定程度的描述能力,而綜合所有氣候變數之模式表現皆優於由各別單一氣候變數所建立之模式。除此之外,不論是海上或陸上颱風警報天數,所使用之GCM資料推估未來中、長期在不同情境下普遍呈現減少趨勢。本研究結果可作為氣候變遷下颱風相關研究之重要參考,期望可供相關研究單位進行後續研究。zh_TW
dc.description.abstractClimate change is an important issue. During typhoons, serious disasters, such as heavy rainfall, flood, and debris flow, often result in loss of life and property damage. The objective of this study is to investigate the influence of climate change on the change of typhoon warning days. Firstly, three climate variables, sea level pressure, zonal surface wind speed and meridional surface wind speed, are collected from the National Center for Environmental Prediction (NCEP) /National Center for Atmospheric Research (NCAR) reanalysis data. Then, a support-vector-machine-based model is proposed to estimate the typhoon warning days. Thirdly, according to the future simulations of these three climate variables from general circulation models (GCMs) for SRES emission scenarios 20C3M, A1B, A2, and B1, the estimation of future typhoon warning days are obtained. The results indicate that three climate variables used in this study are effective for estimating typhoon warning days. As compared to models using only single climate variable, the model using all climate variables yields the best performance. In addition, the future typhoon warning days generally decrease for various scenarios regardless of sea or land warning. The results of this study are expected to be an important reference of similar studies on climate change.en
dc.description.provenanceMade available in DSpace on 2021-06-13T15:25:35Z (GMT). No. of bitstreams: 1
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Previous issue date: 2011
en
dc.description.tableofcontents口試委員審定書 I
誌謝 II
中文摘要 III
Abstract IV
目錄 V
圖目錄 VIII
表目錄 X
第 1 章 緒論 1
1-1 前言和目的 1
1-2 文獻回顧 3
1-2-1 情境簡介 3
1-2-2 GCM之選擇 5
1-2-3 熱帶氣旋相關研究 5
1-2-4 ANN之選擇 6
1-3 研究流程 7
第 2 章 理論方法 9
2-1 支援向量機 (SVM) 9
2-2 評鑑指標 13
第 3 章 研究區域與架構模式 17
3-1 研究區域概述 17
3-2 資料說明與處理 19
3-2-1 颱風警報天數 19
3-2-2 NCEP/NCAR再分析資料 22
3-2-3 GCM資料 25
3-2-4 資料處理 26
3-3 架構模式 27
第 4 章 結果與討論 30
4-1 模式訓練及驗證成果 30
4-1-1 海上颱風警報天數之結果 30
4-1-2 陸上颱風警報天數之結果 34
4-2 GCM模擬結果分析 38
4-2-1 海上颱風警報天數之GCM模擬結果 38
4-2-2 陸上颱風警報天數之GCM模擬結果 44
第 5 章 結論與建議 49
5-1 結論 49
5-2 建議 50
參考文獻 52
附錄 56
dc.language.isozh-TW
dc.subjectNCEP/NCAR再分析資料zh_TW
dc.subject支援向量機zh_TW
dc.subject颱風警報天數zh_TW
dc.subject大氣環流模式zh_TW
dc.subjectSRES排放情境zh_TW
dc.subjectSRES emission scenariosen
dc.subjectTyphoon warning dayen
dc.subjectSupport vector machineen
dc.subjectNCEP/NCAR reanalysis dataen
dc.subjectGeneral circulation modelen
dc.title氣候變遷對臺灣颱風警報天數影響之研究zh_TW
dc.titleThe Influence of Climate Change on Typhoon Warning Days in Taiwanen
dc.typeThesis
dc.date.schoolyear99-2
dc.description.degree碩士
dc.contributor.oralexamcommittee林文欽,賴進松
dc.subject.keyword颱風警報天數,支援向量機,NCEP/NCAR再分析資料,大氣環流模式,SRES排放情境,zh_TW
dc.subject.keywordTyphoon warning day,Support vector machine,NCEP/NCAR reanalysis data,General circulation model,SRES emission scenarios,en
dc.relation.page71
dc.rights.note有償授權
dc.date.accepted2011-08-11
dc.contributor.author-college工學院zh_TW
dc.contributor.author-dept土木工程學研究所zh_TW
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