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利用 GIS 技术对爱尔兰具有土壤背景和人为金属(类)浓度的农业用地进行排序研究。

A GIS study to rank Irish agricultural lands with background and anthropogenic concentrations of metal(loid)s in soil.

机构信息

Address: University College Dublin School of Biosystems and Food Engineering, Belfield, Dublin, 4, Ireland.

出版信息

Chemosphere. 2022 Jan;286(Pt 3):131928. doi: 10.1016/j.chemosphere.2021.131928. Epub 2021 Aug 17.

Abstract

Heavy metal pollution may cause a serious threat to human health and is a global problem. The bio-availability of metals and metalloids (metal (loid)s) in the soil is a dominating parameter for metal (loid) uptake by plants, and which may subsequently be ingested by individuals through the food pathway. This study aimed to develop a novel approach based on a semi-quantitative probability-impact (P-I) matrix with the help of a GIS mapping tool. ArcGIS was used for data analysis, classification, and reclassification of parameters of the model. Nine influencing parameters were selected for a semi-quantitative risk ranking. These are soil pH, soil organic carbon (SOC), soil texture class, slope, field/soil drainage class, Integrated Risk Quotient (IRQ), proximity to mines, urban activity, and potential biosolids application areas. The results revealed that certain areas (including Co. Louth, Co. Wicklow, Co. Wexford) along the East coast of Ireland pose a higher relative risk. Therefore, in-depth quantitative human health risk assessment is proposed considering the potential bioaccumulation of metal (loid)s if the crops are grown on land with elevated levels of metal (loid)s. Furthermore, this work reveals the usefulness of the GIS mapping techniques in risk assessment to rank areas of elevated levels of potential pollutants.

摘要

重金属污染可能对人类健康造成严重威胁,是一个全球性问题。土壤中金属和类金属(金属(类))的生物可利用性是植物吸收金属(类)的主要参数,而这些金属(类)可能随后通过食物途径被个体摄入。本研究旨在开发一种新方法,该方法基于半定量概率影响(P-I)矩阵,并借助 GIS 制图工具。ArcGIS 用于数据分析、模型参数的分类和再分类。选择了九个影响参数进行半定量风险排序。这些参数包括土壤 pH 值、土壤有机碳 (SOC)、土壤质地类别、坡度、田间/土壤排水等级、综合风险商数 (IRQ)、与矿山的距离、城市活动和潜在生物固体应用区域。结果表明,爱尔兰东海岸的某些地区(包括 Co. Louth、Co. Wicklow、Co. Wexford)存在更高的相对风险。因此,如果在金属(类)含量较高的土地上种植作物,建议进行更深入的定量人体健康风险评估,以考虑金属(类)的潜在生物累积。此外,这项工作还揭示了 GIS 制图技术在风险评估中的有用性,可用于对潜在污染物含量较高的区域进行排名。

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