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dc.contributor劉正川;李錦育;盧惠生;林信輝
dc.contributor[[advisor]]林昭遠
dc.contributor[[other]]中興大學
dc.contributor.author王祥帆
dc.contributor.authorWang, Hsiang-Fan
dc.date.accessioned2019-10-22T12:04:59Z
dc.date.available2019-10-22T12:04:59Z
dc.date.created2016-09-05 23:36
dc.date.issued2007
dc.identifieroai:nchuir.lib.nchu.edu.tw:309270000/95711
dc.identifierU0005-2807200601390500
dc.identifierhttp://nchuir.lib.nchu.edu.tw/handle/309270000/95711
dc.identifier.urihttp://hdl.handle.net/20.500.12424/733801
dc.description.abstract[[abstract]]921地震造成南投縣國姓鄉九份二山大面積岩層崩塌,導致植生及生態環境大規模之破壞,然震災至今已屆六年,崩塌地植生復育變遷有待評估。遙測影像具有多光譜、多時階及多空間解析度之特性,常被應用於環境變遷之研究,本研究以衛星影像監測南港溪集水區地震後五年期間之崩塌區位植生復育情形,結合數值地形分析,提供南港溪集水區崩塌地植生復育區位資訊,並配合嵌塊體理論加以量化及描述,探討嵌塊體結構之時空變異及干擾情況等,再利用多變量統計,從雨量、溫度、高程、坡度、坡向及地質等六項因子中,分析主要影響植生復育之因子。 經以六期衛星影像評估崩塌區位之植生復育情形,分析結果顯示植生復育有逐年恢復之趨勢,已從2000/10/29至2004/7/12間復育達70.1%,復育較佳之區位多在高程500~700 m之堆積區位,坡度在30%以下,坡向則於東北至西北坡向。但植生復育較差之區位多分布高程在700~900 m之崩塌區位,坡度在30~55%間,坡向則為東南坡向。生態指標分析結果顯示,植生復育之嵌塊體於2001/12/03及2004/02/10因受災害擾動影響,呈現破碎化的現象,其植生復育情況皆下降。 本研究利用多變量統計分析探討植生復育情況與影響因子之相關性,分別以高程、坡度、坡向及地質等因子作主成份分析,將因子間相關性較高之因子剔除,再以逐步迴歸分析各因子與植生復育率之相關性,其中以高程因子影響最鉅,其次為坡度,地質及坡向次之。
dc.description.abstract[[abstract]]The ecological environment of large-scale hazard is caused by 921 earthquake at Guoshing township in Nantou on 21st September, 1999. Satellite images and digital elevation model coupled with GIS were used to extract topographic information and vegetation recovery rate of landslide, according to landscape ecology theory to analyze spatial change, interference dynamics, and biodiversity. This study tries to find out the major factors which adapt to evaluate the vegetation recovery efficiency in rainfall, temperature, altitude, slope, aspect and geological structure. The result shows vegetation recovery rate had risen 70.1% between 29th October, 2000 and 12th July, 2004. In the analysis of vegetation recovery sites, it shows the better restorative sites are located at the filling areas with elevation of 500~700 m, gentle slope (<30%), northeast to northwest aspect. The worse sites are at areas with 700~900 m, slope between 30% and 55%, southeast aspect.The vegetation recovery of the patch came under disaster caused the patch fragmentation on 3rd December, 2001 and 10th February, 2004. According to the result of Principal component analysis, altitude and aspect are eliminated due to their highly correlation to other factors. The most influential factor on vegetation recovery rate is rainfall secondly they are elevation, slope, geological structre and aspect by the use of stepwise regression analysis.
dc.description.abstract[[tableofcontents]]壹、前言 1 貳、前人研究 2 第一節 遙測影像之相關研究 2 一、衛星影像 2 二、遙測技術 2 第二節 遙測影像之判釋 4 第三節 影像分類精確度評估 5 第四節 崩塌區位特性 6 第五節 植生復育分析 7 第六節 地景變遷之研究 9 第七節 多變量統計分析 10 參、研究試區及方法 14 第一節 研究試區概況 14 一、地理位置 14 二、氣象水文資料 14 三、地形概況 15 四、地質概況 17 五、土壤概況 19 六、土地利用概況 21 第二節 研究流程 23 第三節 研究材料與方法 23 一、研究材料 23 二、研究方法 26 肆、結果與討論 38 一、崩塌區位判釋 38 二、崩塌區位分析 39 三、崩塌區位植生復育率分析 43 四、生態指標分析 49 五、多變量統計分析 51 伍、結論 55 陸、參考文獻 57
dc.language[[iso]]en_US
dc.publisher水土保持學系所
dc.subjectVegetation Status
dc.subject植生復育
dc.title南港溪集水區崩塌地植生復育與影響因素之探討
dc.typeThesis and Dissertation
ge.collectioncodeOAIDATA
ge.dataimportlabelOAI metadata object
ge.identifier.legacyglobethics:10276350
ge.identifier.permalinkhttps://www.globethics.net/gtl/10276350
ge.lastmodificationdate2016-09-05 23:36
ge.lastmodificationuseradmin@pointsoftware.ch (import)
ge.submissions0
ge.oai.exportid148900
ge.oai.repositoryid7018
ge.oai.setname碩博士論文
ge.oai.setspechdl_309270000_136
ge.oai.streamid5
ge.setnameGlobeTheoLib
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ge.linkhttp://nchuir.lib.nchu.edu.tw/handle/309270000/95711


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