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首页> 外文期刊>International Journal of Environmental Research and Public Health >Cumulative Risk Assessment in the Lorraine Region: A Framework to Characterize Environmental Health Inequalities
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Cumulative Risk Assessment in the Lorraine Region: A Framework to Characterize Environmental Health Inequalities

机译：洛林地区的累积风险评估：表征环境卫生不平等的框架

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摘要

The study explores spatial data processing methods and the associated impact on the characterization and quantification of a combined health risk indicator at a regional scale and at fine resolution. To illustrate the methodology of combining multiple publicly available data sources, we present a case study of the Lorraine region (France), where regional stakeholders were involved in the global procedures for data collection and organization. Different indicators are developed by combining technical approaches for assessing and characterizing human health exposure to chemical substances (in soil, air and water) and noise risk factors. The results permit identification of pollutant sources, determinants of exposure, and potential hotspot areas. A test of the model’s assumptions to changes in sub-indicator spatial distribution showed the impact of data transformation on identifying more impacted areas. Cumulative risk assessment permits the combination of quantitative and qualitative evaluation of health risks by including stakeholders in the decision process, helping to define a subjective conceptual analysis framework or assumptions when uncertainties or knowledge gaps operate.
机译：这项研究探索了空间数据处理方法以及在区域规模和高分辨率下对组合健康风险指标的表征和量化的相关影响。为了说明组合多个可公开获得的数据源的方法，我们介绍了一个洛林地区（法国）的案例研究，该地区的利益相关者参与了数据收集和组织的全球程序。通过结合用于评估和表征人类健康对化学物质（在土壤，空气和水中）和噪声风险因素的暴露的技术方法，开发出了不同的指标。结果可以识别污染物源，暴露的决定因素和潜在的热点地区。对模型对次指标空间分布变化的假设进行的测试显示，数据转换对识别更多受影响区域的影响。累积风险评估通过将利益相关者包括在决策过程中，允许对健康风险进行定量和定性评估相结合，从而在不确定性或知识鸿沟出现时帮助定义主观概念分析框架或假设。

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