Farmers' vulnerability to flood risk: A case study in the Poyang Lake Region
文献类型：SCI/SSCI论文
| 作者 | Dingguo M. A. ; Jie C. ; Zhang W. J. ; Zheng L. ; Liu Y. |
| 发表日期 | 2007 |
| 关键词 | flood risk farmer vulnerability Poyang Lake Region climate-change social vulnerability environmental-change africa hunger time |
| 英文摘要 | This 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". |
| 出处 | Journal of Geographical Sciences |
| 卷 | 17 |
| 期 | 3 |
| 页 | 269-284 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 1009-637X |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/24123]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Dingguo M. A.,Jie C.,Zhang W. J.,et al. Farmers' vulnerability to flood risk: A case study in the Poyang Lake Region. 2007. |
入库方式： OAI收割
来源：地理科学与资源研究所
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