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工业区土壤重金属污染:十年间数据收集分析。

Soil heavy metal contamination in an industrial area: analysis of the data collected during a decade.

机构信息

IMAA-Istituto di Metodologie per l' Analisi Ambientale CNR, C.da S. Loja, 85050, Zona Industriale Tito Scalo, Potenza, Italy.

出版信息

Environ Monit Assess. 2013 Jul;185(7):5951-64. doi: 10.1007/s10661-012-2997-y. Epub 2012 Nov 17.

Abstract

Soil contamination by heavy metals has become a serious problem mainly because, above certain concentrations, all metals have adverse effects on human health. In particular, the accumulation of heavy metals in agricultural soils leads to elevated uptake by crops and affects food quality and safety. In this paper, we present the results of a study carried out over a decade for evaluating the impact of a new industrial settlement in an area geared to agriculture and livestock and far from urban sites. We focus our study on the bioavailable fraction of Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb and Zn in soil samples. Heavy metal concentrations in soil are analysed with both univariate and multivariate statistical procedures. The main goal of this paper is the development of a statistical procedure, based on a mix of multivariate analysis, able to compare field surveys carried out during different years and to characterize spatial and temporal changes in soil heavy metals concentrations.

摘要

土壤重金属污染已成为一个严重的问题,主要是因为所有金属在超过一定浓度后都会对人类健康产生不利影响。特别是,重金属在农业土壤中的积累会导致农作物吸收量增加,从而影响食品质量和安全。本文介绍了一项为期十年的研究结果,该研究评估了一个新的工业定居点对一个以农业和畜牧业为导向且远离城市地区的地区的影响。我们的研究重点是土壤样品中 Cd、Co、Cr、Cu、Fe、Mn、Ni、Pb 和 Zn 的生物可利用部分。土壤中重金属浓度的分析采用了单变量和多变量统计程序。本文的主要目的是开发一种统计程序,该程序基于多元分析的组合,能够比较不同年份进行的实地调查,并描述土壤重金属浓度的时空变化。

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