Environmental Earth Sciences

, Volume 63, Issue 2, pp 407–414

Multiple scenario analyses forecasting the confounding impacts of sea level rise and tides from storm induced coastal flooding in the city of Shanghai, China

  • Jie Yin
  • Zhan-e Yin
  • Xiao-meng Hu
  • Shi-yuan Xu
  • Jun Wang
  • Zhi-hua Li
  • Hai-dong Zhong
  • Fu-bin Gan
Original Article

DOI: 10.1007/s12665-010-0787-9

Cite this article as:
Yin, J., Yin, Z., Hu, X. et al. Environ Earth Sci (2011) 63: 407. doi:10.1007/s12665-010-0787-9

Abstract

Shanghai is physically and socio-economically vulnerable to accelerated sea level rise because of its low elevation, flat topography, highly developed economy and highly-dense population. In this paper, two scenarios of sea level rise and storm surge flooding along the Shanghai coast are presented by forecasting 24 (year 2030) and 44 (year 2050) years into the future and are applied to a digital elevation model to illustrate the extent to which coastal areas are susceptible to levee breach and overtopping using previously developed inflow calculating and flood routing models. Further, the socio-economic impacts are examined by combining the inundation areas with land use and land cover change simulated using GeoCA-Urban software package. This analysis shows that levee breach inundation mainly occurs in the coastal zones and minimally intrudes inland with the conservative protection of dike systems designed. However, storm surge flooding at the possible maximum tide level could cause nearly total inundation of the landscape, and put approximately 24 million people in Shanghai under direct risk resulting from consequences of flooding (e.g. contamination of potable water supplies, failure of septic systems, etc.).

Keywords

Sea-level riseStorm surgeFloodLand use and land cover changeShanghai

Copyright information

© Springer-Verlag 2010

Authors and Affiliations

  • Jie Yin
    • 1
  • Zhan-e Yin
    • 2
  • Xiao-meng Hu
    • 2
  • Shi-yuan Xu
    • 1
  • Jun Wang
    • 1
  • Zhi-hua Li
    • 1
  • Hai-dong Zhong
    • 1
  • Fu-bin Gan
    • 3
  1. 1.Key Laboratory of Geographic Information Science, Ministry of EducationEast China Normal UniversityShanghaiPeople’s Republic of China
  2. 2.Department of GeographyShanghai Normal UniversityShanghaiPeople’s Republic of China
  3. 3.Ningbo Academy of Ocean and FisheryNingboChina