TY - GEN
T1 - Vulnerability assessment of combined impacts of sea level rise and coastal flooding for China's coastal region using remote sensing and GIS
AU - Yin, Jie
AU - Xu, Shiyuan
AU - Wang, Jun
AU - Zhong, Haidong
AU - Hu, Yingjie
AU - Yin, Zhane
AU - Wang, Kangfasheng
AU - Zhang, Xinjian
PY - 2010
Y1 - 2010
N2 - China's coastal region is physically and socioeconomically vulnerable to accelerated sea-level rise and associated coastal flooding because of its low topography, highly developed economy and highly-dense population. In this study, we present a scenario of sea level rise and storm surge flooding along the China's coastal region over the next century and apply them to a digital elevation model (DEM) which acquired by the shuttle radar topography mission (SRTM) to illustrate the extent and spatial distribution to which coastal areas are susceptible to permanent inundation and episodic flooding due to storm events. To perform flood scenario analysis and vulnerability assessment, a method for producing several sets of data was implemented by combining remote sensing processing, the use of grid-based socioeconomic data, and subsequent analysis using Geographical Information Systems (GIS). This analysis shows that inundation and coastal flooding will mainly occur in the major delta without the protection of dike systems. However, due to the concentration of population and economic activities in China's coastal region, societal and economic consequences of continued sea-level rise would be substantial. Finally, some suggestions are presented for decision-makers, and other concerned stakeholders to develop appropriate public policies and mitigation measures.
AB - China's coastal region is physically and socioeconomically vulnerable to accelerated sea-level rise and associated coastal flooding because of its low topography, highly developed economy and highly-dense population. In this study, we present a scenario of sea level rise and storm surge flooding along the China's coastal region over the next century and apply them to a digital elevation model (DEM) which acquired by the shuttle radar topography mission (SRTM) to illustrate the extent and spatial distribution to which coastal areas are susceptible to permanent inundation and episodic flooding due to storm events. To perform flood scenario analysis and vulnerability assessment, a method for producing several sets of data was implemented by combining remote sensing processing, the use of grid-based socioeconomic data, and subsequent analysis using Geographical Information Systems (GIS). This analysis shows that inundation and coastal flooding will mainly occur in the major delta without the protection of dike systems. However, due to the concentration of population and economic activities in China's coastal region, societal and economic consequences of continued sea-level rise would be substantial. Finally, some suggestions are presented for decision-makers, and other concerned stakeholders to develop appropriate public policies and mitigation measures.
KW - China
KW - Coastal flooding
KW - Remote sensing
KW - Sea level rise
KW - Vulnerability
UR - https://www.scopus.com/pages/publications/77958047993
U2 - 10.1109/GEOINFORMATICS.2010.5567562
DO - 10.1109/GEOINFORMATICS.2010.5567562
M3 - Conference contribution
AN - SCOPUS:77958047993
SN - 9781424473021
T3 - 2010 18th International Conference on Geoinformatics, Geoinformatics 2010
BT - 2010 18th International Conference on Geoinformatics, Geoinformatics 2010
T2 - 2010 18th International Conference on Geoinformatics, Geoinformatics 2010
Y2 - 18 June 2010 through 20 June 2010
ER -