TY - GEN
T1 - ASSESSING the AFFECTED AREA of TYPHOON-INDUCED LANDSLIDES and DEBRIS FLOWS
AU - Hsuan, Chen Hsiao
AU - Hao, Chiang Shou
N1 - Publisher Copyright:
© ACRS 2021.All right reserved.
PY - 2021
Y1 - 2021
N2 - Typhoon events are often accompanied by short-duration intense rainfall. If the slopes are steep and rich in loose soil, rocks, or colluvium, it is prone to induce significant debris flows and landslides, causing heavy casualties and economic losses. The occurrence of debris flows and landslides is influenced by geology, topography, and the hydrological environment. To assess the affected area of the combined process, the landslide and debris flow requires an integrated modeling framework. This study proposed an integrated slope stability model which combines infinite slope stability analysis and debris flow simulation to predict the initiation of typhoon-induced shallow landslides and runout paths. The landslide event induced by Typhoon Saola in Heping Village, Xiulin Township, Hualien County on August 2, 2012, is selected as the study case. By investigating geological, hydrological parameters, and topographic characteristics, the model is expected to predict the affected area of landslides and debris flows in the study areas. Satellite imagery was used to effectively estimate regional parameters for the model application, including vegetation index and topographic variables. Preliminary modeling outcomes, including the landslide location and its runouts, will be validated by comparing with the high-resolution optical image and in-situ investigation data. The research results can be used as a reference for the assessment of the affected area of landslides and debris flows in the future.
AB - Typhoon events are often accompanied by short-duration intense rainfall. If the slopes are steep and rich in loose soil, rocks, or colluvium, it is prone to induce significant debris flows and landslides, causing heavy casualties and economic losses. The occurrence of debris flows and landslides is influenced by geology, topography, and the hydrological environment. To assess the affected area of the combined process, the landslide and debris flow requires an integrated modeling framework. This study proposed an integrated slope stability model which combines infinite slope stability analysis and debris flow simulation to predict the initiation of typhoon-induced shallow landslides and runout paths. The landslide event induced by Typhoon Saola in Heping Village, Xiulin Township, Hualien County on August 2, 2012, is selected as the study case. By investigating geological, hydrological parameters, and topographic characteristics, the model is expected to predict the affected area of landslides and debris flows in the study areas. Satellite imagery was used to effectively estimate regional parameters for the model application, including vegetation index and topographic variables. Preliminary modeling outcomes, including the landslide location and its runouts, will be validated by comparing with the high-resolution optical image and in-situ investigation data. The research results can be used as a reference for the assessment of the affected area of landslides and debris flows in the future.
KW - Debris Flow
KW - Integrated Slope Stability Model
KW - Shallow Landslide
KW - Typhoon Saola
KW - Vegetation Index
UR - http://www.scopus.com/inward/record.url?scp=85127413059&partnerID=8YFLogxK
M3 - 會議論文篇章
AN - SCOPUS:85127413059
T3 - 42nd Asian Conference on Remote Sensing, ACRS 2021
BT - 42nd Asian Conference on Remote Sensing, ACRS 2021
PB - Asian Association on Remote Sensing
T2 - 42nd Asian Conference on Remote Sensing, ACRS 2021
Y2 - 22 November 2021 through 26 November 2021
ER -