Journal of East China Normal University(Natural Science) ›› 2021, Vol. 2021 ›› Issue (3): 138-150.doi: 10.3969/j.issn.1000-5641.2021.03.014

• Estuary and Coastal Research • Previous Articles     Next Articles

Application of a surface and river network coupled model on waterlogging distribution analysis and risk assessment for a region suffering from extreme storm surges

Fei TENG1,2,*(), Lu LI1,2, Zhuyuan BEI3, Jun WANG3, Jufei QIU4, Xiaojie ZHANG4   

  1. 1. Shanghai Water Engineering Design and Research Institute Co. Ltd., Shanghai 200061, China
    2. Shanghai Engineering Research Center of Coastal Zones, Shanghai 200061, China
    3. Shanghai Administration Center for Ocean Affairs, Shanghai 200050, China
    4. East Sea Marine Environmental Investigating & Surveying Center, SOA China, Shanghai 200137, China
  • Received:2020-05-10 Online:2021-05-25 Published:2021-05-26
  • Contact: Fei TENG E-mail:373663745@qq.com

Abstract:

Extreme precipitation and floods may occur during a storm surge hazard, accompanied by typhoon conditions and high tide levels. The combination of these factors intensifies the risk of flooding in coastal regions suffering from a storm surge. Thus, multi-impact analysis should be applied to determine flood risk during a storm surge. River networks play an important role in flood processes. The storage and transportation capacity provided by rivers can directly change the distribution of a flood. In this paper, a 1-D river network model and a 2-D surface model were respectively established and coupled to simulate the flood processes during an assumed storm surge in Jinshan District, Shanghai. The cumulative influence of the concurrent storm surge, typhoon, rainfall, and upstream flooding was explored to support hazard risk analysis for Jinshan District. The coupled model’s simulation indicated a clear decrease in the number of waterlogged areas in Jinshan District after considering the river network’s storage and transportation capacity during a storm surge event. The distribution of predicted waterlogged areas also changed; according to the simulation results, the flood risk grade decreased in the central and northern Jinshan District and rose in the Northwest corner.

Key words: storm surge, river network, 1-D and 2-D coupled hydrodynamic model

CLC Number: