4.6 Article

Assessment of metals behaviour in industrial soil using sequential extraction, multivariable analysis and a geostatistical approach

期刊

JOURNAL OF GEOCHEMICAL EXPLORATION
卷 172, 期 -, 页码 174-183

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.gexplo.2016.10.015

关键词

Chemical speciation; Heavy metals; Distribution maps; Soil pollution

资金

  1. Fundacion Seneca of Comunidad Autonoma de Murcia (Spain) [15380/PI/10]

向作者/读者索取更多资源

The main objectives of this studywere to evaluate the degree of Pb, Cu, Zn, Cd, Cr and Ni pollution using pollution indexes and geostatistical approach, and to assess metals dynamic using sequential extraction procedure and multivariable statistical analysis in surface soils and soil profiles froman industrial complex as a base for a correct management in order to avoid health and environmental problems. Results showed that the industrial activity increases both Pb (103 mg kg(-1)), Zn (526 mg kg(-1)) and Cu (39 mg kg(-1)) concentrations and salinity in soil. Pollution indexes showed that industrial soils were moderately contaminated by Zn, Pb, Cu, Cr and Ni as well as a moderate ecological risk was reported. Two main areas were identified: southeast area with the highest metal concentrations, and northwest areawith the lowest levels. Chemical speciation of metals showed that the residual phase was the dominant phase for all metals. However, Pb and Zn were highly associated to the reducible phase (25-30% and 35-40% respectively) and a significant concentration was associated to carbonates (5% for both metals). In contrast, Cu, Cr and Ni were mainly bound to the residual phase (> 80% for all metals) with low concentrations retained to reducible phase, and very low concentrations bound to the most labile phases. Cd was the most mobile metal with high concentration associated to exchangeable (5%) and carbonates (15-20%) phases. Therefore, Pb, Zn and Cd represent the greatest risk for human health and the environment. (C) 2016 Elsevier B. V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据