|
|
|
| Numerical study on spatiotemporal evolution characteristics of inundation process in multi-layer subway stations |
| JIN Gaohan1, GAO Chenglu1*, ZHOU Zongqing1, TU Hanchen1, WANG Dijun2, ZHANG Zhiliang3, YUAN Quan2, LI Xiaohan2
|
1. School of Qilu Transportation, Shandong University, Jinan 250002, Shandong, China;
2. Guangzhou Metro Design &
Research Institute Co., Ltd., Guangzhou 510010, Guangdong, China;
3. Guangzhou Metro Group Co., Ltd., Guangzhou 510330, Guangdong, China |
|
|
|
|
Abstract A three-dimensional numerical model of a multi-story subway station structure was developed,taking the Panyu Square Station on Guangzhou Metro Line 18 as a case study, to simulate the flooding process under extreme conditions. The spatiotemporal evolution of water depth, inter-floor flow rate, and pedestrian walking resistance was analyzed,and the distribution differences under various water ingress conditions were compared. The results showed that the station inundation process could be divided into three distinct stages: channel diffusion, parallel diffusion, and stable ascent. The platform level water level increased in a near-linear manner over time, with its growth rate strongly correlated to the total water ingress rate. In contrast, the station hall water level exhibited a two-stage pattern: initial growth followed by stabilization. The location of water ingress points was found to significantly influence the water level distribution. Higher water levels were observed near the ingress points in the station hall, whereas on the platform level, elevated levels occurred in areas farther from these points. Analysis of inter-floor flow evolution identified a distal surge phenomenon, in which water at the distal end of the platform ingress point rapidly reached the ceiling and flowed back to the station hall. The distribution of the pedestrian walking resistance coefficient indicated that higher resistance occurred both near the water ingress points at the concourse level and near the exits of inter-floor passages at the platform level. The findings of this research provide a scientific reference for monitoring, early warning, and emergency evacuation management during flooding disasters in subway stations under extreme conditions.
|
|
Published: 29 December 2025
|
|
|
|
|
|
|
|
