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Remote Sensing and GIS-Based Flood Vulnerability Assessment in Jiangxi Province in China

机译:基于遥感和基于GIS的江西省洪水脆弱性评估

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Vulnerability assessment acquaints us with degree of risks in global-environmental-change context. Remote sensing (RS) and geographic information system (GIS) is seldom applied to assess comprehensive vulnerability as indispensable socioeconomic factors are hardly expressed by them. Thus we selected counties in Jiangxi Province as study area, calculated vulnerability index VI of them by aggregating sixteen indicators and another index VIRG by aggregating five indicators which could be exactly express by RS and GIS data, and construct exponential formulation between them. Some testing counties were used to check the precision of flood vulnerability categorization by fitted value of VI yielded by exponential formulation between VI and VIRG. Thematic maps of flood vulnerability categorization by VI and fitted value of VI illustrate identical spatial distribution pattern despite existence of wrongly-categorized cases. The overall precision of vulnerability assessment reaches 81.3%. RS and GIS techniques are possible even promising to be applied in comprehensively assessing flood vulnerability.
机译:漏洞评估使我们了解了全球环境变化环境下的风险程度。遥感(RS)和地理信息系统(GIS)很少用于评估综合脆弱性,因为它们几乎无法表达必不可少的社会经济因素。因此,我们选择了江西省县作为研究区,通过汇总16个指标计算出它们的脆弱性指数VI,并通过汇总可以用RS和GIS数据准确表达的5个指标来计算另一个脆弱性指数VI RG ,并构建它们之间的指数公式。通过VI和VI RG 之间的指数公式得出的VI的拟合值,一些测试县被用来检验洪水脆弱性分类的精度。尽管存在错误分类的案例,但按VI和VI的拟合值分类的洪水脆弱性专题图显示了相同的空间分布模式。漏洞评估的整体准确性达到81.3%。 RS和GIS技术甚至有望被广泛应用于洪水脆弱性评估中​​。

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