globalchange  > 气候变化事实与影响
DOI: 10.1016/j.jhydrol.2019.02.015
WOS记录号: WOS:000462692100050
论文题名:
Long-term flood-hazard modeling for coastal areas using InSAR measurements and a hydrodynamic model: The case study of Lingang New City, Shanghai
作者: Yin, Jie1,2,3; Zhao, Qing1,2; Yu, Dapeng4; Lin, Ning5; Kubanek, Julia6; Ma, Guanyu1,2; Liu, Min1,2,3; Pepe, Antonio7
通讯作者: Zhao, Qing
刊名: JOURNAL OF HYDROLOGY
ISSN: 0022-1694
EISSN: 1879-2707
出版年: 2019
卷: 571, 页码:593-604
语种: 英语
英文关键词: Coastal flooding ; Sea level rise ; Land subsidence ; InSAR ; FloodMap
WOS关键词: SEA-LEVEL RISE ; NEW-YORK-CITY ; DIFFUSION-WAVE TREATMENT ; TIME-SERIES ANALYSIS ; RASTER-BASED MODEL ; TANDEM-X ; POTENTIAL IMPACTS ; LAND SUBSIDENCE ; DEFORMATION ; RESOLUTION
WOS学科分类: Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources
WOS研究方向: Engineering ; Geology ; Water Resources
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.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/133557
Appears in Collections:气候变化事实与影响

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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

Recommended Citation:
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]. JOURNAL OF HYDROLOGY,2019-01-01,571:593-604
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