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Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Landslide Susceptibility Mapping for the Thao River Catchment with High Spatial Resolution Rainfall Data
Geological disasters occur more and more frequently in mountainous regions causing considerable damage to lives and properties. As a tropical country, rainfall is often considered to be the most common triggering factor for the occurrence of landslides in Vietnam. This study used a high-resolution rainfall map of the extreme 1-day precipitation derived from a combined dynamical-statistical downscaling model outputs in the period 1981–2010, and eight other terrain factors to construct the landslide susceptibility map (LSM) for the Vietnam portion of Thao river catchment. The Analytical Hierarchy Process (AHP) was applied to determine the weights of every causative factor and their classes. Validation of the susceptible map was verified with existing landslide locations using the receiver operating characteristic (ROC) curve that comparing the actual and predicted landslide locations. The result shows that the predicted susceptibility map has good agreement with the past landslide occurrences. Therefore, the LSM predicted by the AHP method is useful for preventing potential landslides in the future for the study area.
Landslide Susceptibility Mapping for the Thao River Catchment with High Spatial Resolution Rainfall Data
Geological disasters occur more and more frequently in mountainous regions causing considerable damage to lives and properties. As a tropical country, rainfall is often considered to be the most common triggering factor for the occurrence of landslides in Vietnam. This study used a high-resolution rainfall map of the extreme 1-day precipitation derived from a combined dynamical-statistical downscaling model outputs in the period 1981–2010, and eight other terrain factors to construct the landslide susceptibility map (LSM) for the Vietnam portion of Thao river catchment. The Analytical Hierarchy Process (AHP) was applied to determine the weights of every causative factor and their classes. Validation of the susceptible map was verified with existing landslide locations using the receiver operating characteristic (ROC) curve that comparing the actual and predicted landslide locations. The result shows that the predicted susceptibility map has good agreement with the past landslide occurrences. Therefore, the LSM predicted by the AHP method is useful for preventing potential landslides in the future for the study area.
Landslide Susceptibility Mapping for the Thao River Catchment with High Spatial Resolution Rainfall Data
Lecture Notes in Civil Engineering
Bui-Tien, Thanh (Herausgeber:in) / Nguyen Ngoc, Long (Herausgeber:in) / De Roeck, Guido (Herausgeber:in) / Tran, The Viet (Autor:in) / Nguyen, Manh Cuong (Autor:in) / Trinh, Quang Toan (Autor:in) / Do, Hoai Nam (Autor:in) / Nguyen, Trung Kien (Autor:in) / Bui, Kien-Trinh Thi (Autor:in) / Nguyen, Quoc Thanh (Autor:in)
Proceedings of the 3rd International Conference on Sustainability in Civil Engineering ; Kapitel: 12 ; 97-103
28.04.2021
7 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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