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于国伟, 曾光, 唐音, 梅家模. 利用遥感技术对洪涝灾区县界定分级的研究[J]. 中国公共卫生, 2003, 19(8): 897-898.
引用本文: 于国伟, 曾光, 唐音, 梅家模. 利用遥感技术对洪涝灾区县界定分级的研究[J]. 中国公共卫生, 2003, 19(8): 897-898.
YU Guo-wei, ZENG Guang, TANG Yin, . Study on demarcation standards of flood disaster counties depending on remote sensing data[J]. Chinese Journal of Public Health, 2003, 19(8): 897-898.
Citation: YU Guo-wei, ZENG Guang, TANG Yin, . Study on demarcation standards of flood disaster counties depending on remote sensing data[J]. Chinese Journal of Public Health, 2003, 19(8): 897-898.

利用遥感技术对洪涝灾区县界定分级的研究

Study on demarcation standards of flood disaster counties depending on remote sensing data

  • 摘要:
      目的   借助遥感技术, 对洪涝灾区县界定分级指标和标准进行研究, 为洪涝灾害救灾防病提供科学依据。
      方法   选择洪涝灾区县界定分级指标, 依据1998年江西省洪涝灾害3次遥感淹没资料描述性分析的结果, 确定洪涝灾区县界定分级标准。
      结果   依据遥感资料可以将洪涝灾区县划分成3大类: 3次遥感资料中有1次遥感淹没面积超过6700hm2的灾区县属于一类灾区县; 3次遥感淹没面积均低于6700hm2的灾区县属于二类灾区县; 3次遥感资料均未显示有淹没存在的其它上报灾区县属于三类灾区县。
      结论   借助遥感、地理信息系统技术可以实现对洪涝灾区县及时、准确的界定分级, 为洪涝灾害救灾防病疫情统计服务。

     

    Abstract:
      Objective   To explore the demarcation standards of flood disaster counties according to the analysis result of remote data, and to provide scientific basis for policy decision of flood prevention and relief.
      Methods   To analyze and choose the demarcation indicators of flood disaster counties.According to the result of three times remote sensing data of Jiangsu province in 1998 by SAS statistic software, the demarcation standards of flood disaster counties were formed.
      Results   All the flood disaster counties of Jiangsu province could be classified into three categories by the formed demarcation stadards: The countries having more than 100 thousand mu flood disaster areas more than one time belong to class one; the counties having less than 100 thousands mu flood disaster areas for three times belong to class two; the counties having no flood disaster areas for three times belong to class three.
      Conclusion   Depending on remote sensing data and geography information system technique, the flood disaster areas could be demarcated, the analysis of epidemic information could be done scientifically.

     

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