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[1]BAI Xianfu,YANG Zhiquan,LUO Weidong,et al.An Emergency Evaluation Approach to Road Disruption Risk Influenced by Earthquake-induced Landslide Using GIS and Multivariate Decision Tree[J].Journal of Seismological Research,2023,46(03):343-353.[doi:10.20015/j.cnki.ISSN1000-0666.2023.0040]

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An Emergency Evaluation Approach to Road Disruption Risk Influenced by Earthquake-induced Landslide Using GIS and Multivariate Decision Tree

Journal of Seismological Research[ISSN 1000-0666/CN 53-1062/P] Volume: 46 Number of periods: 2023 03 Page number: 343-353 Column: Public date: 2023-09-01

Title:: An Emergency Evaluation Approach to Road Disruption Risk Influenced by Earthquake-induced Landslide Using GIS and Multivariate Decision Tree

Author(s):: BAI Xianfu¹; YANG Zhiquan²; LUO Weidong¹; WANG Jie¹; TIAN Peng¹; DAI Yuqian³; (1.Kunming Institute of Earthquake Prediction,China Earthquake Administration,Kunming 650224,Yunnan,China)(2.Faculty of Public Safety and Emergency Management,Kunming University of Science and Technology,Kunming 650093,Yunnan,China)(3.Earthquake Administration of Xishan District,Kunming 650118,Yunnan,China)

Keywords:: road interruption risk; earthquake-induced landslides; the Multivariate Decision Tree; emergency evaluation

CLC:: P315.94

DOI:: 10.20015/j.cnki.ISSN1000-0666.2023.0040

Abstract:: In mountainous areas,roads are often damaged by earthquake-induced landslides.The degree of road damage and the existing functional state will have a very important impact on the whole earthquake emergency response.To solve this problem,in this paper we propose a new modle.To test our new model,we select four historical earthquake events for case study:the 2008 Wenchuan,Sichuan M_S8.0 earthquake,the 2014 Ludian,Yunnan M_S6.5 earthquake,and the 2012 Yiliang,Yunnan M_S5.6&5.7 double earthquakes.Here,the Wenchuan earthquake case is for testing the effectiveness of our new model.The other three cases serve for testing the practicability of our model for the future earthquake disasters emergency assessment in other places.P-value and Kappa coefficient are used to examine the model’s statistical portability.The computed P-value for the Sichuan area was less than 0.001(just 2.52×10^-203)and the Kappa coefficient is 0.91.This suggests that the computed RIR values are good indicators of blocked-road occurrences.In the Yunnan study areas,the computed P-value is less than 0.001 too(just 9.7×10^-107)and the Kappa coefficient is 0.81.The results from the Yunnan study areas suggest that the Multivariate Decision Tree can be introduced to another study areas and our approach can be used in other earthquake events.

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Last Update: 2023-06-25