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Landslide hazard probability and risk assessment at the community level: a case of western Hubei, China

Authors :
S. Fu
L. Chen
T. Woldai
K. Yin
L. Gui
D. Li
J. Du
C. Zhou
Y. Xu
Z. Lian
Source :
Natural Hazards and Earth System Sciences, Vol 20, Pp 581-601 (2020)
Publication Year :
2020
Publisher :
Copernicus Publications, 2020.

Abstract

Small communities living in mountainous terrain in Hubei province are often affected by landslides. Previous studies by the China Geological Survey focused on the 1:100 000 scale. Therefore, a more detailed assessment, especially at the community level, is urgently required by local governments for risk management. In this study, we conducted a more detailed semiquantitative landslide and risk assessment at the community level using a scale of 1:10 000. We applied the probabilistic method to assess landslide spatial, temporal, and size probabilities, while the hazard and risk assessment were considered for four return periods (5, 10, 20, and 50 years) and two size scenarios (landslide volume). The spatial probability from susceptibility mapping with an accuracy of 84 % indicates that the major controlling factors are Quaternary deposits and weathered eluvium from Ordovician limestones. This study revealed that most building areas in hazard maps are at the foot of major slopes with very high hazard probabilities, and therefore we computed the potential loss of life and property for each slope. The results reveal that 1530 people and USD 18 million worth of property were at risk of landslides within a 50-year return period and a landslide volume of 50 000 m3. The longer the return period is, the higher the hazard probability is. Compared with the classic inverse gamma and power law distribution of landslide magnitude and frequency, the function by the ordinary least squares method is more suitable for landslide size probability analysis of the study area. According to these methods, the proposed procedure of landslide risk assessment proves more useful than the existing data from the 1:100 000 scale in western Hubei, China.

Details

Language :
English
ISSN :
15618633 and 16849981
Volume :
20
Database :
Directory of Open Access Journals
Journal :
Natural Hazards and Earth System Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.fc4d816e95be4ed0837efcc0fa5af5c1
Document Type :
article
Full Text :
https://doi.org/10.5194/nhess-20-581-2020