To Estimate the Potential Hazard of Landslide for the Mei-Nong Reservoir Watershed
碩士 === 國立屏東科技大學 === 森林系 === 93 === The aim of the study is to estimate the potential hazard of landslide for the reservoir effectively and to provide the references to the supervisor of the Mei-Nong reservoir watershed. The study is using photogrammetry and GIS technique to build the geological data...
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ndltd-TW-093NPUST3600162016-12-22T04:11:09Z http://ndltd.ncl.edu.tw/handle/91191030312072355428 To Estimate the Potential Hazard of Landslide for the Mei-Nong Reservoir Watershed 美濃水庫集水區之崩塌地潛感分布研究 Chung-Hao Lin 林宗澔 碩士 國立屏東科技大學 森林系 93 The aim of the study is to estimate the potential hazard of landslide for the reservoir effectively and to provide the references to the supervisor of the Mei-Nong reservoir watershed. The study is using photogrammetry and GIS technique to build the geological database of potential instability factors for landslide. Alongside establish the landslide potential hazard maps by GIS on the spatial overlapping method and estimate it. First of all, we analyze the potential hazard of landslide in the three terms for 1989, 2000 and 2004 by using the naturally environmental factors. The landslide potential hazard map appears the best sensitive being soil in 1989 and 2000,in 2004 is elevation. Second, we estimate the potential hazard of landslide by joining the factors of landuse and the distance to roads. We found that it is helpful to understand the sensitivity of potential hazard of landslide at the Mei-Nong reservoir watershed. Furthermore, we put the landslide data of the three terms together to estimate the potential hazard of landslide by using the naturally environment and human factors, it shows that the performance of sensitivity is more elaborate. It approves that the landslide is continues, repeatedly or periodical. Yuh-Lurng Chung 鍾玉龍 2005 學位論文 ; thesis 56 zh-TW |
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碩士 === 國立屏東科技大學 === 森林系 === 93 === The aim of the study is to estimate the potential hazard of landslide for the reservoir effectively and to provide the references to the supervisor of the Mei-Nong reservoir watershed. The study is using photogrammetry and GIS technique to build the geological database of potential instability factors for landslide. Alongside establish the landslide potential hazard maps by GIS on the spatial overlapping method and estimate it. First of all, we analyze the potential hazard of landslide in the three terms for 1989, 2000 and 2004 by using the naturally environmental factors. The landslide potential hazard map appears the best sensitive being soil in 1989 and 2000,in 2004 is elevation. Second, we estimate the potential hazard of landslide by joining the factors of landuse and the distance to roads. We found that it is helpful to understand the sensitivity of potential hazard of landslide at the Mei-Nong reservoir watershed. Furthermore, we put the landslide data of the three terms together to estimate the potential hazard of landslide by using the naturally environment and human factors, it shows that the performance of sensitivity is more elaborate. It approves that the landslide is continues, repeatedly or periodical.
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author2 |
Yuh-Lurng Chung |
author_facet |
Yuh-Lurng Chung Chung-Hao Lin 林宗澔 |
author |
Chung-Hao Lin 林宗澔 |
spellingShingle |
Chung-Hao Lin 林宗澔 To Estimate the Potential Hazard of Landslide for the Mei-Nong Reservoir Watershed |
author_sort |
Chung-Hao Lin |
title |
To Estimate the Potential Hazard of Landslide for the Mei-Nong Reservoir Watershed |
title_short |
To Estimate the Potential Hazard of Landslide for the Mei-Nong Reservoir Watershed |
title_full |
To Estimate the Potential Hazard of Landslide for the Mei-Nong Reservoir Watershed |
title_fullStr |
To Estimate the Potential Hazard of Landslide for the Mei-Nong Reservoir Watershed |
title_full_unstemmed |
To Estimate the Potential Hazard of Landslide for the Mei-Nong Reservoir Watershed |
title_sort |
to estimate the potential hazard of landslide for the mei-nong reservoir watershed |
publishDate |
2005 |
url |
http://ndltd.ncl.edu.tw/handle/91191030312072355428 |
work_keys_str_mv |
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