首页> 美国卫生研究院文献>International Journal of Environmental Research and Public Health >Which Compounds Contribute Most to Elevated Soil Pollution and the Corresponding Health Risks in Floodplains in the Headwater Areas of the Central European Watershed?
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Which Compounds Contribute Most to Elevated Soil Pollution and the Corresponding Health Risks in Floodplains in the Headwater Areas of the Central European Watershed?

机译:哪些化合物对中欧分水岭源头地区洪泛区的土壤污染加剧和相应的健康风险影响最大?

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摘要

The main topic of this study is a human health risk assessment of a defined exposure scenario in the floodplain soils of the headwater areas of the central European watershed, with the aim of exploring both multivariate and regional data structures. Flood-prone areas are recognized worldwide to be susceptible to contamination and its redistribution. Contributions of various classes of toxic compounds (organochlorine pesticides (OCPs), polycyclic aromatic hydrocarbons (PAHs), polychlorinated biphenyls (PCBs)) to human health risks were assessed in a screening risk assessment. However, due to the relative nature of our data and a high PAH dominancy over the data ensemble, reliance solely on the standard statistical processing of raw data might lead to incomplete insight into the structure of the multivariate data. Explanatory analysis of the data structure using the compositional approach was found to be beneficial to elucidating human health risk profiles and provided robust evidence that a contrast between agricultural and airborne industrial pollution controlled the whole human toxicological variation of persistent organic pollutants (POPs) in floodplain soils. These results were effectively quantified with the subcomposition of benzo(a)pyrene, DDT, and alpha-hexachlorocyclohexane (aHCH), allowing for an interpretation of structural differences in regional pollution patterns, which conferred different extents and compositions of human health risks in floodplain soils.
机译:这项研究的主要主题是对欧洲中部流域上游水域的洪泛区土壤中确定的暴露场景进行人类健康风险评估,旨在探索多元和区域数据结构。世界范围内容易发生洪灾的地区容易受到污染及其重新分配的影响。在筛查风险评估中评估了各种类型的有毒化合物(有机氯农药(OCP),多环芳烃(PAH),多氯联苯(PCB))对人类健康风险的贡献。但是,由于我们数据的相对性质和对数据集合的高PAH支配力,仅依靠原始数据的标准统计处理可能会导致对多元数据结构的不完全了解。发现使用组合方法对数据结构进行解释性分析有利于阐明人类健康风险状况,并提供有力的证据表明,农业和空中工业污染之间的对比控制着洪泛区土壤中持久性有机污染物(POPs)的整个人类毒理学变化。这些结果可以通过苯并(a)re,滴滴涕和α-六氯环己烷(aHCH)的亚组成有效地量化,从而可以解释区域污染模式的结构差异,从而在洪泛区土壤中赋予人类健康风险不同程度和组成。

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