Abstract
The good functioning of metro systems in China is frequently hampered by recurring inundations induced by climate change. This paper attempts to predict the inundation of metro systems by considering three scenarios of metro lines under different rainfall intensities, and utilizing the storm water management model (SWMM) incorporated into Geographic Information System (GIS). A prediction model is developed to simulate the scenario of rainfall intensities with 50-year, 100-year and 500-year in the urban area, and an equation is proposed to calculate the inundation depth of metro station. The results show that the depth and range of waterlogging are similar for the three scenarios, but become more severe as rainfall intensity increases. The results also show that the investigated metro station of Caobao Road and Shiguang Road will firstly experience inundations. These inundations primarily occur along the Huangpu River and the regions located in its vicinity, which are characterized by the absence of drainage facilities. The present study is bound to provide informative suggestions for both precaution and post-event flood risk assessment.
The original version of this chapter was revised. The erratum to this chapter is available at https://doi.org/10.1007/978-981-13-0011-0_53
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Change history
08 September 2018
An erratum has been published.
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Acknowledgements
The research work described herein was funded by the National Nature Science Foundation of China (NSFC) (Grant No. 41672259). The financial support is gratefully acknowledged.
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Lyu, HM., Shen, SL., Arulrajah, A. (2018). Scenario-Based Inundation Analysis of Metro System in Urban Area of Shanghai. In: Shi, X., Liu, Z., Liu, J. (eds) Proceedings of GeoShanghai 2018 International Conference: Transportation Geotechnics and Pavement Engineering. GSIC 2018. Springer, Singapore. https://doi.org/10.1007/978-981-13-0011-0_2
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DOI: https://doi.org/10.1007/978-981-13-0011-0_2
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