Flood Risk Evaluation of Railroad Line in Diffuse Flow Area Based on Coupled Synergetic Modeling

DOI

10.2991/978-94-6463-606-2_56How to use a DOI?

Keywords

transportation line; flood; coupled coordination model; risk evaluation

Abstract

This study focuses on the impacts of flash floods on transportation lines, fully considers the correlation between the natural environmental system and the system of the railroad line itself on the impacts of line floods, and evaluates the flood riskiness of the Lanzhou-Xinjiang Railway in the diffuse flow area of Gansu Province based on the coupled coordination model. The results show that the design capacity of railroad bridges and culverts and the vegetation cover have a significant impact on operational safety; the flood risk of railroad lines within the Hexi Corridor section exhibits a moderately high degree of coupling coordination, especially in Jinchang City and Zhangye City, which need to be more importantly monitored; and the consistency between the degree of coupling coordination and the flood risk results verifies the validity of the assessment model. This study not only provides a scientific basis for the management of railroad floods, but also provides guidance for improving the safety precautions in the relevant regions.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Jun Qin
AU  - Gong Li
PY  - 2024
DA  - 2024/12/24
TI  - Flood Risk Evaluation of Railroad Line in Diffuse Flow Area Based on Coupled Synergetic Modeling
BT  - Proceedings of the 2024 6th International Conference on Civil Engineering, Environment Resources and Energy Materials (CCESEM 2024)
PB  - Atlantis Press
SP  - 543
EP  - 553
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-606-2_56
DO  - 10.2991/978-94-6463-606-2_56
ID  - Qin2024
ER  -