MA Dingguo1; CHEN Jie2; ZHANG Wenjiang1; ZHENG Lin2; LIU Ying2
Source Publicationjournalofgeographicalsciences
AbstractThis paper quantitatively explores farmers' vulnerability to flood in the Poyang Lake Region (PLR) with the supports of GIS spatial functions. The analysis consists of three major steps, which is based on the spatial unit of township. Firstly, the spatial extent and characteristics of flood risk areas were determined using a digital elevation model (DEM) derived from the 1:50,000 topographic map. Secondly, for each of the township, six indices indicating the economic activities of local farmers were calculated. These indices are: rural population proportion, cultivated land proportion, GDP per unit area, employment proportion of primary industry, net rural income per capita and agricultural income proportion. These six indices were then normalized and used for later vulnerability assessment. Thirdly, the normalized indices (as GIS data layers) were overlaid with the flood risk areas to produce the risk coefficient for each township and to calculate the overall vulnerability for each township. The analysis results show that in the PLR there are high flood risk areas where the farmers' livings are seriously influenced or threatened. About 55.56% of the total 180 townships in the flood risk areas have a high degree of flood vulnerability. The townships under flood risk are mainly distributed in the areas around the Poyang Lake and the areas along the "five rivers".
Document Type期刊论文
First Author Affilication中国科学院地理科学与资源研究所
Recommended Citation
GB/T 7714
MA Dingguo,CHEN Jie,ZHANG Wenjiang,et al. farmersvulnerabilitytofloodriskacasestudyinthepoyanglakeregion[J]. journalofgeographicalsciences,2007,17(3):269.
APA MA Dingguo,CHEN Jie,ZHANG Wenjiang,ZHENG Lin,&LIU Ying.(2007).farmersvulnerabilitytofloodriskacasestudyinthepoyanglakeregion.journalofgeographicalsciences,17(3),269.
MLA MA Dingguo,et al."farmersvulnerabilitytofloodriskacasestudyinthepoyanglakeregion".journalofgeographicalsciences 17.3(2007):269.
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