Early warning of landslide hazard by integrating spatial statistical analysis methods to calculate the landslide susceptibility index in the Chen-Yu-Lan River watershed, Taiwan
博士 === 國立成功大學 === 地球科學系 === 107 === Landslides are destructive geological processes that can cause extreme damage to infrastructure and loss of life. Since landslide occurrences is determined by both preparatory and trigger factors, a quantitative relationship among these factors is needed to assess...
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ndltd-TW-107NCKU51350102019-10-26T06:24:15Z http://ndltd.ncl.edu.tw/handle/y5wsba Early warning of landslide hazard by integrating spatial statistical analysis methods to calculate the landslide susceptibility index in the Chen-Yu-Lan River watershed, Taiwan 以整合空間統計分析之崩塌災害預警演算陳有蘭溪集水區內崩塌潛勢指標 Thi-To-NganNguyen 阮氏素銀 博士 國立成功大學 地球科學系 107 Landslides are destructive geological processes that can cause extreme damage to infrastructure and loss of life. Since landslide occurrences is determined by both preparatory and trigger factors, a quantitative relationship among these factors is needed to assess landslide hazards. This study wants to understand the importance and correlation of these factors on landslides. The data such as landslide inventory map, DEM, geological map, and land-use were used to calculate landslide susceptibility index (LSI) and produce the LSI maps. Based on the historical landslide data (landslide data for eight years), the bivariate statistical analysis is used to measure the landslide density within different zones of the factors which are then further analyzed by the analytic hierarchy process (AHP) method to calculate the weight value of the factors. Furthermore, to examine the different effects of factor on landslides, the correlation analysis method is used to accomplish this work. In addition to, to look at the level of triggering factors’ impact on landslides, the data associated with Typhoon Kalmaegi and Typhoon Morakot are also analyzed during the process. Finally, some evaluation methods including the binary classification, the kappa index are employed to validate the LSI maps. The results of this work show the feasibility of planning and warning of high landslide probability zones. Cheng-Chien Liu 劉正千 2019 學位論文 ; thesis 79 en_US |
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博士 === 國立成功大學 === 地球科學系 === 107 === Landslides are destructive geological processes that can cause extreme damage to infrastructure and loss of life. Since landslide occurrences is determined by both preparatory and trigger factors, a quantitative relationship among these factors is needed to assess landslide hazards. This study wants to understand the importance and correlation of these factors on landslides. The data such as landslide inventory map, DEM, geological map, and land-use were used to calculate landslide susceptibility index (LSI) and produce the LSI maps. Based on the historical landslide data (landslide data for eight years), the bivariate statistical analysis is used to measure the landslide density within different zones of the factors which are then further analyzed by the analytic hierarchy process (AHP) method to calculate the weight value of the factors. Furthermore, to examine the different effects of factor on landslides, the correlation analysis method is used to accomplish this work. In addition to, to look at the level of triggering factors’ impact on landslides, the data associated with Typhoon Kalmaegi and Typhoon Morakot are also analyzed during the process. Finally, some evaluation methods including the binary classification, the kappa index are employed to validate the LSI maps. The results of this work show the feasibility of planning and warning of high landslide probability zones.
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Cheng-Chien Liu |
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Cheng-Chien Liu Thi-To-NganNguyen 阮氏素銀 |
author |
Thi-To-NganNguyen 阮氏素銀 |
spellingShingle |
Thi-To-NganNguyen 阮氏素銀 Early warning of landslide hazard by integrating spatial statistical analysis methods to calculate the landslide susceptibility index in the Chen-Yu-Lan River watershed, Taiwan |
author_sort |
Thi-To-NganNguyen |
title |
Early warning of landslide hazard by integrating spatial statistical analysis methods to calculate the landslide susceptibility index in the Chen-Yu-Lan River watershed, Taiwan |
title_short |
Early warning of landslide hazard by integrating spatial statistical analysis methods to calculate the landslide susceptibility index in the Chen-Yu-Lan River watershed, Taiwan |
title_full |
Early warning of landslide hazard by integrating spatial statistical analysis methods to calculate the landslide susceptibility index in the Chen-Yu-Lan River watershed, Taiwan |
title_fullStr |
Early warning of landslide hazard by integrating spatial statistical analysis methods to calculate the landslide susceptibility index in the Chen-Yu-Lan River watershed, Taiwan |
title_full_unstemmed |
Early warning of landslide hazard by integrating spatial statistical analysis methods to calculate the landslide susceptibility index in the Chen-Yu-Lan River watershed, Taiwan |
title_sort |
early warning of landslide hazard by integrating spatial statistical analysis methods to calculate the landslide susceptibility index in the chen-yu-lan river watershed, taiwan |
publishDate |
2019 |
url |
http://ndltd.ncl.edu.tw/handle/y5wsba |
work_keys_str_mv |
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