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宁夏暴雨洪涝灾害风险区划
引用本文:曹宁,张磊,马宁,卫建国,马宏永.宁夏暴雨洪涝灾害风险区划[J].计算机与农业,2011(2):93-95.
作者姓名:曹宁  张磊  马宁  卫建国  马宏永
作者单位:[1]宁夏气象科学科研所,银川750002 [2]宁夏气象防灾减灾重点实验室,银川750002 [3]宁夏气象服务中心,银川750002 [4]宁夏气象局后勤服务中心,银川750002
摘    要:基于灾害风险理论及气象灾害风险形成机制,收集宁夏暴雨、灾情资料、社会经济资料、地理信息及遥感数据,综合考虑在形成宁夏暴雨洪涝灾害过程中孕灾环境,致灾因子,承灾体及当地的防灾减灾能力等因素,构建暴雨洪涝灾害风险评价的框架、指标体系、方法与模型,对宁夏暴雨洪涝灾害风险程度进行评价并借助GIS技术进行等级划分和专家讨论,形成宁夏暴雨洪涝灾害风险区划成果。由研究成果得出了经济较发达的整个宁夏平原都属于暴雨洪涝灾害中等以上风险区等诸多结论,为本地区灾害规划与预案制定、重大工程建设、生态环境保护与建设等提供决策依据。

关 键 词:GIS  暴雨洪涝灾害  区划

Ningxia Rainstorm and Flood Risk Regionalization
CAO Ning,ZHANG Lei,MA Ning,WEI Jianguo,MA Hongyong.Ningxia Rainstorm and Flood Risk Regionalization[J].Computer and Agriculture,2011(2):93-95.
Authors:CAO Ning  ZHANG Lei  MA Ning  WEI Jianguo  MA Hongyong
Institution:1.Ningxia Institute of Meteorological Sciences,Yinchuan 750002;2.Ningxia Key Lab for Meteorological Disaster Prevention and Reduction,Yinchuan 750002;3.Ningxia Meteorological Service Center,Yinchuan 750002; 4.Intra-organization Service Center of Bureau of Meteorology,Yinchuan 750002)
Abstract:Based on disaster risk theory and meteorological risk forming mechanism,meteorological data,risk data,social economy data,GIS RS data and so on were collected,and by the comprehensive analysis on multiple factors such as the environment sensitivity pregnant with disasters,hazard formative factor,hazard carrier and capacity of defending and lightening disaster in the process of flood disaster in Ningxia,the frame,index system,means and models of rainstorm and flood risk evaluation were constructed,and by the evaluation of flood risk level,scaling by GIS and panel discussion,the flood risk regionalization results were formed.From the results,it was found that the more developed regions in the whole Ningxia plain were at the high rainstorm and flood risk,as well as many other conclusions,providing the decision rationale of local disaster planning,the emergency plan making,important engineering construction projects,and the ecological environment protection and construction.
Keywords:GIS  rainstorm and flood risk  regionalization
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