Evaluation of Riverside Landslides Potential in Mountainous Area

碩士 === 國立臺灣科技大學 === 營建工程系 === 96 === This study is to investigate the landslide potential along the upstream of Chishan river by the means of Gaussian Process analysis. The results of landslide potential analysis were divided into High, Medium and Low categories. The mapping of landslide potentials...

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Main Authors: Chia-Wen Lu, 呂嘉文
Other Authors: Hung-Jiun Liao
Format: Others
Language:zh-TW
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/37975221540612454663
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spelling ndltd-TW-096NTUS55120832016-05-13T04:15:17Z http://ndltd.ncl.edu.tw/handle/37975221540612454663 Evaluation of Riverside Landslides Potential in Mountainous Area 山區河流兩側邊坡崩塌潛勢評估 Chia-Wen Lu 呂嘉文 碩士 國立臺灣科技大學 營建工程系 96 This study is to investigate the landslide potential along the upstream of Chishan river by the means of Gaussian Process analysis. The results of landslide potential analysis were divided into High, Medium and Low categories. The mapping of landslide potentials in the studied mountainous area was plotted by ArcMap software. It had been found that the High landslide potential areas are mainly concentrated along the Chishan river. It led to the study on the landslide potentials along Chishan river and the important features affecting the stability of riverside slopes. For the Gaussian Process models, a rigorous statistical method is adopted to evaluation the landslide potential and important features. Totally, 12 features were included in the Gaussian Process model namely height of cut slope, type of riverside slope, area of topographic unit, average slope aspect, dip slope, standard deviation of slope angle, NVDI, product of slope angle and rock strength, average slope angle, height of slope, maximum elevation, minimum elevation. In addition, 11 more combinations of the above features were also studied. Among these features, type of riverside slope, height of cut slope, and area of topographic unit are the most discriminant features for evaluating the stability of riverside slope along the upstream of Chishan river. In terms of landslide potential, the accuracy rates of high and low potential are 96.77% and 88.43%, respectively, as determined from the Gaussian process. It indicates that the model studied here is applicable to the riverside slopes along Chishan river. Finally, by overlapping the landslide potential mapping obtained from this research with the sites of landslides observed from the aerial photos, a good agreement between these two results was found. Hung-Jiun Liao Jian-Ye Ching 廖洪鈞 卿建業 2008 學位論文 ; thesis 170 zh-TW
collection NDLTD
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description 碩士 === 國立臺灣科技大學 === 營建工程系 === 96 === This study is to investigate the landslide potential along the upstream of Chishan river by the means of Gaussian Process analysis. The results of landslide potential analysis were divided into High, Medium and Low categories. The mapping of landslide potentials in the studied mountainous area was plotted by ArcMap software. It had been found that the High landslide potential areas are mainly concentrated along the Chishan river. It led to the study on the landslide potentials along Chishan river and the important features affecting the stability of riverside slopes. For the Gaussian Process models, a rigorous statistical method is adopted to evaluation the landslide potential and important features. Totally, 12 features were included in the Gaussian Process model namely height of cut slope, type of riverside slope, area of topographic unit, average slope aspect, dip slope, standard deviation of slope angle, NVDI, product of slope angle and rock strength, average slope angle, height of slope, maximum elevation, minimum elevation. In addition, 11 more combinations of the above features were also studied. Among these features, type of riverside slope, height of cut slope, and area of topographic unit are the most discriminant features for evaluating the stability of riverside slope along the upstream of Chishan river. In terms of landslide potential, the accuracy rates of high and low potential are 96.77% and 88.43%, respectively, as determined from the Gaussian process. It indicates that the model studied here is applicable to the riverside slopes along Chishan river. Finally, by overlapping the landslide potential mapping obtained from this research with the sites of landslides observed from the aerial photos, a good agreement between these two results was found.
author2 Hung-Jiun Liao
author_facet Hung-Jiun Liao
Chia-Wen Lu
呂嘉文
author Chia-Wen Lu
呂嘉文
spellingShingle Chia-Wen Lu
呂嘉文
Evaluation of Riverside Landslides Potential in Mountainous Area
author_sort Chia-Wen Lu
title Evaluation of Riverside Landslides Potential in Mountainous Area
title_short Evaluation of Riverside Landslides Potential in Mountainous Area
title_full Evaluation of Riverside Landslides Potential in Mountainous Area
title_fullStr Evaluation of Riverside Landslides Potential in Mountainous Area
title_full_unstemmed Evaluation of Riverside Landslides Potential in Mountainous Area
title_sort evaluation of riverside landslides potential in mountainous area
publishDate 2008
url http://ndltd.ncl.edu.tw/handle/37975221540612454663
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