Abstract
Seismic landslides can block roads in mountainous regions, thus affecting the delivery of emergency supplies and the implementation of post-earthquake rescue operations. The blocked road sections resulting from co-seismic landslides must be evaluated to reduce the casualties caused by earthquakes. In this study, the effect of a seismic disaster on road traffic was quantified using a seismic landslide susceptibility map and an energy method to evaluate blocked road sections. A back propagation (BP) neural network model was used to identify susceptible slopes. Subsequently, the runout distances of these susceptible slopes were calculated using the energy method to clarify to what extent the roads were affected by seismic landslides. Finally, a spatial analysis was used to obtain the distribution of the blocked road sections. An MS6.4 earthquake occurred on May 21, 2021, in Yangbi, China, which damaged the slopes along two major highways and made it necessary to close certain sections of these highways. The Yangbi earthquake was used as a case study to evaluate a road-blockage assessment methodology. The evaluation results indicated that the total length of the blocked sections was 2.383 km, which constituted 0.874% of the highway length. The longest continuous blocked section was 397.17 m, whereas the shortest was 117.91 m. Sixty percent of the evaluated blocked sections coincided with the investigated locations of the actual damaged slopes along the highways, which indicated the applicability of the method.
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Acknowledgements
The seismic observation data for this study are provided by Institute of Engineering Mechanics, China Earthquake Administration. This work is financially supported by Key Program of National Natural Science Foundation of China (Grant No. 42330704) and Yunnan Province High-tech Special Project (202303AA080010).
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Wu, Y., Zhou, H. & Che, A. Evaluation of road blockage induced by seismic landslides under 2021 MS6.4 Yangbi earthquake. Environ Earth Sci 83, 22 (2024). https://doi.org/10.1007/s12665-023-11319-x
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DOI: https://doi.org/10.1007/s12665-023-11319-x