TY - JOUR
T1 - A GIS-Based Spatial Multi-Criteria Approach for Flood Risk Assessment in the Dongting Lake Region, Hunan, Central China
AU - Wang, Yamei
AU - Li, Zhongwu
AU - Tang, Zhenghong
AU - Zeng, Guangming
N1 - Funding Information:
Acknowledgments The study was funded by the National Natural Science Foundation of China (40971170, 51039001), the Program for New Century Excellent Talents in University (NCET-09-330), and the National 863 High Technologies Research of China (Grant No.2007AA10Z222).
PY - 2011/10
Y1 - 2011/10
N2 - Floods, the most common natural hazard in the world, cause serious loss in terms of lives, buildings, and infrastructures. As a consequence, the need for flood risk assessment has become critical. Using a semi-quantitative model and fuzzy analytic hierarchy process (FAHP) weighting approach, this paper assessed flood risk in the Dongting Lake region, Hunan Province, Central China, an area where flood hazards frequently occur. The model was designed using spatial multi-criteria analysis (SMCA) techniques in a Geographic Information System (GIS). A GIS database of indicators for the evaluation of hazard and vulnerability was created. Each indicator was analyzed, standardized, and weighted; after which, the weights of the indicators were combined to obtain the final flood risk index map. Using the flood risk index, the study area was classified into five categories of flood risk: very low, low, medium, high, and very high. The high and very high risk zones are mainly concentrated in the northern and central plains. The results obtained can provide useful information for decision makers and insurance companies.
AB - Floods, the most common natural hazard in the world, cause serious loss in terms of lives, buildings, and infrastructures. As a consequence, the need for flood risk assessment has become critical. Using a semi-quantitative model and fuzzy analytic hierarchy process (FAHP) weighting approach, this paper assessed flood risk in the Dongting Lake region, Hunan Province, Central China, an area where flood hazards frequently occur. The model was designed using spatial multi-criteria analysis (SMCA) techniques in a Geographic Information System (GIS). A GIS database of indicators for the evaluation of hazard and vulnerability was created. Each indicator was analyzed, standardized, and weighted; after which, the weights of the indicators were combined to obtain the final flood risk index map. Using the flood risk index, the study area was classified into five categories of flood risk: very low, low, medium, high, and very high. The high and very high risk zones are mainly concentrated in the northern and central plains. The results obtained can provide useful information for decision makers and insurance companies.
KW - China
KW - Floods
KW - GIS
KW - Indicators
KW - Multi-criteria analysis
KW - Risk assessment
UR - http://www.scopus.com/inward/record.url?scp=80053437881&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80053437881&partnerID=8YFLogxK
U2 - 10.1007/s11269-011-9866-2
DO - 10.1007/s11269-011-9866-2
M3 - Article
AN - SCOPUS:80053437881
SN - 0920-4741
VL - 25
SP - 3465
EP - 3484
JO - Water Resources Management
JF - Water Resources Management
IS - 13
ER -