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Coastal Vulnerability Assessment, Sunderbans

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NIAID Data Ecosystem2026-05-02 收录
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The files include data pertaining to the indicators of vulnerability, the logic and methodology in developing the vulnerability scores and the calculations in computing the Composite Coastal Vulnerability Index. There are seven Ecological Vulnerability indicators considered for the computation of the Ecological Vulnerability Index and the data for these indicators were derived by processing geospatial data in GIS. Sixteen socio-economic vulnerability indicators were selected for formulating the Socio-economic Vulnerability Index. These indicators were grouped into three categories for the analysis - Standard of Living, Socio-economic Status and Status of Health and Education. The data for these indicators were sourced from primary and secondary sources. Vulnerability indices were computed by assigning appropriate weightages to the indicators and multiplying the weightages with the vulnerability scores. The Ecological Vulnerability and Socio-economic Vulnerability indices were combined to compute the Composite Coastal Vulnerability Index.

本数据集文件涵盖与脆弱性指标、脆弱性评分构建逻辑与方法,以及综合海岸脆弱性指数(Composite Coastal Vulnerability Index)的计算流程相关的数据。 本次生态脆弱性指数(Ecological Vulnerability Index)的计算共纳入7项生态脆弱性指标,相关指标数据均通过地理信息系统(GIS)处理地理空间数据获取。本研究选取16项社会经济脆弱性指标用于构建社会经济脆弱性指数(Socio-economic Vulnerability Index),为便于分析将这些指标划分为三大类别:生活水平、社会经济状况,以及健康与教育状况。上述指标数据均通过一手及二手资料采集获得。 脆弱性指数的计算方式为:为各项指标赋予合理权重,再将权重与脆弱性评分相乘。随后将生态脆弱性指数与社会经济脆弱性指数进行整合,最终得到综合海岸脆弱性指数。
创建时间:
2024-12-23
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