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Long-term flood-hazard modeling for coastal areas using InSAR measurements and a hydrodynamic model: The case study of Lingang New City, Shanghai

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journal contribution
posted on 24.04.2019, 12:23 by Jie Yin, Qing Zhao, Dapeng YuDapeng Yu, Ning Lin, Julia Kubanek, Guanyu Ma, Min Liu, Antonio Pepe
In this paper, we study long-term coastal flood risk of Lingang New City, Shanghai, considering 100- and 1000-year coastal flood return periods, local seal-level rise projections, and long-term ground subsidence projections. TanDEM-X satellite data acquired in 2012 were used to generate a high-resolution topography map, and multi-sensor InSAR displacement time-series were used to obtain ground deformation rates between 2007 and 2017. Both data sets were then used to project ground deformation rates for the 2030s and 2050s. A 2-D flood inundation model (FloodMap-Inertial) was employed to predict coastal flood inundation for both scenarios. The results suggest that the sea-level rise, along with land subsidence, could result in minor but non-linear impacts on coastal inundation over time. The flood risk will primarily be determined by future exposure and vulnerability of population and property in the floodplain. Although the flood risk estimates show some uncertainties, particularly for long-term predictions, the methodology presented here could be applied to other coastal areas where sea level rise and land subsidence are evolving in the context of climate change and urbanization.

Funding

This work was supported by the National Key Research and Development Program of China (Grant no: 2017YFE0100700), the National Natural Science Foundation of China (Grant no: 41871164; 41801337; 51761135024), the Humanities and Social Science Project of Education Ministry of China (Grant no: 17YJAZH111), the Research Grants of Science and Technology Commission of Shanghai Municipality through Project 18ZR1410800, the UK Natural Environment Research Council under the Environmental Risks to Infrastructure Innovation Program (Grant no: NE/M008770/1; NE/N013050/1; NE/R009600/1), the Key Laboratory of Land Subsidence Monitoring and Prevention, Ministry of Land and Resources through Project KLLSMP201503, the Fund of the Director of the Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University (Grant no: KLGIS2017C03), and the National Science Foundation of the United States (EAR-1520683).

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

Journal of Hydrology

Volume

571

Pages

593 - 604

Citation

YIN, J. ... et al, 2019. Long-term flood-hazard modeling for coastal areas using InSAR measurements and a hydrodynamic model: The case study of Lingang New City, Shanghai. Journal of Hydrology, 571, pp.593-604.

Publisher

© Elsevier BV

Version

AM (Accepted Manuscript)

Publisher statement

This paper was accepted for publication in the journal Journal of Hydrology and the definitive published version is available at https://doi.org/10.1016/j.jhydrol.2019.02.015

Acceptance date

07/02/2019

Publication date

2019-02-15

Copyright date

2019

ISSN

0022-1694

Language

en