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A land use-based spatial analysis method for human health risk assessment of heavy metals in soil and its application in Zhuzhou City, Hunan Province, China

机译:基于土地利用的空间分析法在土壤中重金属人类健康风险评估中的应用及其在湖南省株洲市的应用

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摘要

A land use- and geographical information system-based framework was presented for potential human health risk analysis using soil sampling data obtained in Zhuzhou City, Hunan Province, China. The results show that heavy metal content in soil significantly differs among different land use types. In total, 8.3% of the study area has a hazard index (HI) above the threshold of 1.0. High HIs are recorded mainly for industrial areas. Arsenic (>87%) and the soil ingestion pathway (about 76%) contribute most to the HI. The mean standardized error and root-mean-square standardized error data indicate that the land use-based simulation method provides more accurate estimates than the classic method, which applies only geostatistical analysis to entire study area and disregards land use information. The findings not only highlight the significance of industrial land use, arsenic and the soil ingestion exposure pathway, but also indicate that evaluating different land use-types can spatially identify areas of greater concern for human health and better identify health risks.
机译:提出了一个基于土地利用和地理信息系统的框架,利用从中国湖南省株洲市获得的土壤采样数据进行潜在的人类健康风险分析。结果表明,不同土地利用类型土壤重金属含量差异显着。总体而言,研究区域的8.3%的危险指数(HI)高于1.0的阈值。 HI记录较高,主要用于工业领域。砷(> 87%)和土壤摄入途径(约76%)对HI的影响最大。平均标准化误差和均方根标准化误差数据表明,基于土地利用的模拟方法比经典方法提供了更准确的估计,后者仅对整个研究区域进行地统计学分析,而忽略了土地使用信息。这些发现不仅突出了工业土地利用,砷和土壤摄入途径的重要性,而且还表明评估不同的土地利用类型可以在空间上识别出人类健康最为关注的领域,并更好地识别健康风险。

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