Numerical simulation and disaster prevention strategies for flood intrusion process in subway stations

IF 4.2 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Mingjie Wang , Guixiang Chen , Weifeng Liu , Chenxing Cui
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Abstract

Subway stations are prone to serious consequences when occurring a flood disaster due to the isolation of subway stations from the ground. To assess the risk of personnel evacuation when floods invade subway stations and explore the safest evacuation time for people. A numerical simulation model for flood intrusion into a subway station was established in this study based on the Realizable k-ε turbulence and Volume of Fluid (VOF) model, which can be applied to simulate the water flow characteristics in subway stations. The subway station and tunnel model were constructed by taking a subway station in Zhengzhou Metro Line 5 as a research object. The impacts of tunnel floodgate opening/closing, different numbers of water inlets, and different inlet water depths on the flood invasion process were investigated. The flood invasion process, invasion time, and spread pattern of subway stations under various operating conditions were analyzed. Moreover, suggestions for human evacuation within the station were proposed. The results indicate that the closed tunnel floodgate causes an increase in water collection in the subway station. While opening the tunnel floodgate can efficiently relieve flood pressure in the subway station, it is critical to avoid floods pouring through the tunnel to the next station. The increase in water depth and water inlet number led to an increase in the water velocity intrusion into the subway station, resulting in a rapid increase in the water depth in the subway station, and pedestrians ought to evacuate the subway station as soon as possible. The research findings are intended to serve as a reference for the safe evacuation of people when floods invade subway stations.
地铁站洪水入侵过程的数值模拟与防灾策略
由于地铁站与地面隔离,一旦发生洪水灾害,很容易造成严重后果。为了评估洪水入侵地铁站时的人员疏散风险,探索人员最安全的疏散时间。本研究基于可实现的 k-ε 湍流和流体体积(VOF)模型,建立了洪水入侵地铁站的数值模拟模型,可用于模拟地铁站内的水流特性。以郑州地铁 5 号线某地铁站为研究对象,构建了地铁车站和隧道模型。研究了隧道水闸开闭、不同进水口数量、不同进水口水深对洪水入侵过程的影响。分析了不同运行条件下地铁站的洪水入侵过程、入侵时间和扩散模式。此外,还提出了站内人员疏散的建议。结果表明,关闭隧道泄洪闸会导致地铁站内积水增加。虽然打开隧道泄洪闸门可以有效缓解地铁站内的洪水压力,但关键是要避免洪水通过隧道涌入下一个车站。水深和进水口数量的增加导致侵入地铁站的水流速度增加,导致地铁站内水深迅速增加,行人应尽快撤离地铁站。研究结果希望能为洪水入侵地铁站时的人员安全疏散提供参考。
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来源期刊
International journal of disaster risk reduction
International journal of disaster risk reduction GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
8.70
自引率
18.00%
发文量
688
审稿时长
79 days
期刊介绍: The International Journal of Disaster Risk Reduction (IJDRR) is the journal for researchers, policymakers and practitioners across diverse disciplines: earth sciences and their implications; environmental sciences; engineering; urban studies; geography; and the social sciences. IJDRR publishes fundamental and applied research, critical reviews, policy papers and case studies with a particular focus on multi-disciplinary research that aims to reduce the impact of natural, technological, social and intentional disasters. IJDRR stimulates exchange of ideas and knowledge transfer on disaster research, mitigation, adaptation, prevention and risk reduction at all geographical scales: local, national and international. Key topics:- -multifaceted disaster and cascading disasters -the development of disaster risk reduction strategies and techniques -discussion and development of effective warning and educational systems for risk management at all levels -disasters associated with climate change -vulnerability analysis and vulnerability trends -emerging risks -resilience against disasters. The journal particularly encourages papers that approach risk from a multi-disciplinary perspective.
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