首页> 外文期刊>Geomatics,Natural Hazards & Risk >Flood risk assessment using multi-criteria analysis: a case study from Kopili River Basin, Assam, India
【24h】

Flood risk assessment using multi-criteria analysis: a case study from Kopili River Basin, Assam, India

机译:使用多准则分析进行洪水风险评估:来自印度阿萨姆邦科比利流域的案例研究

获取原文
           

摘要

ABSTRACT A multi-criteria analysis (MCA) approach to describe the effective utilization of geospatial techniques for disaster risk reduction at village level in Kopili River Basin (KRB) of Assam State, India is presented. The KRB is chronically flood affected due to seasonal monsoon and rise in water levels of Kopili River. Based on the MCA approach using flood hazard layer derived from the spatio-multi-temporal historic satellite data-sets (comprising of sensors from RISAT-1 SAR, Radarsat SAR and IRS AWiFS), socio-economic data (based on five census variables), infrastructure (road network) and land use vulnerabilities (cropped and uncropped areas), flood risk zones are derived. Our study elucidates that 24,837????ha of crop area spread across 95 villages in the KRB falls in high risk zone, about 39,209 ha distributed in 150 villages falls under moderate-high risk zones and remaining area spread over 162 villages is more or less unaffected. The proposed approach can be applied elsewhere in other river basins to estimate the flood risk so as to mitigate the disaster risk posed by the floods.
机译:摘要提出了一种多标准分析(MCA)方法来描述有效利用地理空间技术减少印度阿萨姆邦科比利河流域(KRB)村级灾害风险的方法。由于季节性季风和科比里河水位上升,克拉比河河道长期受洪水影响。基于使用时空多时历史卫星数据集(包括RISAT-1 SAR,Radarsat SAR和IRS AWiFS的传感器)得出的洪水灾害层的MCA方法,社会经济数据(基于五个人口普查变量) ,基础设施(道路网络)和土地利用脆弱性(作物和非作物区域),洪水风险区。我们的研究表明,分布在KRB 95个村庄中的24,837公顷作物面积属于高风险区,分布在150个村庄中的约39,209公顷属于中高风险区,而分布在162个村庄中的剩余面积更多或更高。不受影响。所提议的方法可以在其他流域的其他地方应用,以估计洪水风险,从而减轻洪水带来的灾难风险。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号