DocumentCode :
2708753
Title :
GIS-based analysis of flood disaster risk in LECZ of China and population exposure
Author :
Liu, Jianli ; Wen, Jiahong ; Yang, Kai ; Shang, Zhaoyi ; Zhang, Haiying
Author_Institution :
Dept. of Environ. Sci., East China Normal Univ., Shanghai, China
fYear :
2011
fDate :
24-26 June 2011
Firstpage :
1
Lastpage :
4
Abstract :
China´s Low Elevation Coastal Zone (LECZ) is prone to flood, where the population exposure, death risk and economic loss risk are very high. We apply an ArcGIS environment to combine the gridded data of the world population (GPW) and flood disaster risk data from Hotspots and Chinese administrative division to analyze the spatial distributions of flood occurrence frequency, death risk, economic loss risk and the population exposure characteristics at the provincial level in East China´s coastal lowlands. The spatial patterns of the flood risk and population exposure in the provincial administrative regions are presented, the prone disaster areas and the related risk factors, social and economic vulnerabilities were identified. This work provides basic information for understanding and mitigating the flood risk in LECZ.
Keywords :
data analysis; disasters; floods; geographic information systems; risk analysis; ArcGIS environment; China low elevation coastal zone; East China coastal lowland zone; GIS-based technique; death risk analysis; economic loss risk analysis; flood disaster risk data; flood occurrence frequency; population exposure characteristics; provincial administrative region; spatial distribution; world population gridded data analysis; Cities and towns; Data mining; Economics; Floods; Frequency conversion; Rivers; Sea measurements; China; Geographic Information System (GIS); flood disaster; low elevation coastal zones (LECZ); population exposure;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoinformatics, 2011 19th International Conference on
Conference_Location :
Shanghai
ISSN :
2161-024X
Print_ISBN :
978-1-61284-849-5
Type :
conf
DOI :
10.1109/GeoInformatics.2011.5980841
Filename :
5980841
Link To Document :
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