Abstract
Rainfall-induced hazards, such as landslides, debris flows, and floods, cause significant damage to railway infrastructure. However, an accurate assessment of rainfall-induced hazard risk to railway infrastructure is limited by the lack of regional and asset-tailored vulnerability curves. This study aims to use multisource empirical damage data to generate vulnerability curves and assess the risk of rainfall-induced hazards to railway infrastructure. The methodology is exemplified through a case study of the Chinese national railway infrastructure. Regional- and national-level vulnerability curves are derived based on historical railway damage records. These curves are combined with the daily precipitation data and the railway infrastructure market value to estimate regional- and national-level risk. The results show large variations in the shape of the vulnerability curves across the different regions. The railway infrastructure in Northeast and Northwest China is more vulnerable to rainfall-induced hazards due to low protection standards. The expected annual damage (EAD) ranges from 1.88 to 5.98 billion RMB for the Chinese railway infrastructure, with a mean value of 3.91 billion RMB. However, the risk to railway infrastructure in China shows high spatial differences due to the spatially variations of precipitation characteristics, exposure distribution, and vulnerability curves. The South, East, and Central provinces have a high risk of rainfall-induced hazards, resulting in the average EADs of 184 million RMB, 176 million RMB, and 156 million RMB, respectively, whereas the risks in the Northeast and Northwest provinces are estimated to be relatively lower. The usage of multisource empirical data enables risk assessments that include spatial details for each region. These risk assessments are highly necessary for effective decision making to achieve infrastructure resilience.
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Acknowledgements
This work was supported by the Major Program of National Natural Science Foundation of China (No. 72091512) and National Natural Science Foundation of China (No. 41771538). The financial support is highly appreciated.
Funding
This work was supported by the Major Program of National Natural Science Foundation of China (No. 72091512) and National Natural Science Foundation of China (No. 41771538).
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KL and WZ developed the original idea and designed the analyses. EK contributed to the study design. WZ and KL conducted the analysis. WZ wrote the original manuscript, and KL, MW, SN, and EK provided comments and revised the manuscript. All of the coauthors contributed to scientific interpretations of the results.
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Appendix
See Tables 4, 5, 6, and 7 and Figs. 9 and 10.
a The 50-year precipitation, b the 500-year precipitation
Map showing the distribution of Chinese provinces
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Zhu, W., Liu, K., Wang, M. et al. Improved assessment of rainfall-induced railway infrastructure risk in China using empirical data. Nat Hazards 115, 1525–1548 (2023). https://doi.org/10.1007/s11069-022-05605-3
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DOI: https://doi.org/10.1007/s11069-022-05605-3