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DOI | 10.1016/j.jhydrol.2019.02.015 |
Long-term flood-hazard modeling for coastal areas using InSAR measurements and a hydrodynamic model: The case study of Lingang New City, Shanghai | |
Yin, Jie1,2,3; Zhao, Qing1,2; Yu, Dapeng4; Lin, Ning5; Kubanek, Julia6; Ma, Guanyu1,2; Liu, Min1,2,3; Pepe, Antonio7 | |
发表日期 | 2019 |
ISSN | 0022-1694 |
EISSN | 1879-2707 |
卷号 | 571页码:593-604 |
英文摘要 | 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. |
WOS研究方向 | Engineering ; Geology ; Water Resources |
来源期刊 | JOURNAL OF HYDROLOGY
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/95951 |
作者单位 | 1.East China Normal Univ, Minist Educ, Key Lab Geog Informat Sci, Shanghai, Peoples R China; 2.East China Normal Univ, Sch Geog Sci, Shanghai, Peoples R China; 3.East China Normal Univ, Inst Ecochongming, Shanghai, Peoples R China; 4.Loughborough Univ, Dept Geog, Ctr Hydrol & Ecosyst Sci, Loughborough, Leics, England; 5.Princeton Univ, Dept Civil & Environm Engn, Princeton, NJ 08544 USA; 6.McGill Univ, Dept Earth & Planetary Sci, Montreal, PQ, Canada; 7.Natl Res Council CNR Italy, Inst Electromagnet Sensing Environm IREA, Rome, Italy |
推荐引用方式 GB/T 7714 | Yin, Jie,Zhao, Qing,Yu, Dapeng,et al. Long-term flood-hazard modeling for coastal areas using InSAR measurements and a hydrodynamic model: The case study of Lingang New City, Shanghai[J],2019,571:593-604. |
APA | Yin, Jie.,Zhao, Qing.,Yu, Dapeng.,Lin, Ning.,Kubanek, Julia.,...&Pepe, Antonio.(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,571,593-604. |
MLA | Yin, Jie,et al."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(2019):593-604. |
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