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联合方法(包括污染指数、地理信息系统和多元统计模型)在中国北方土壤金属含量、分布及来源研究中的应用

Application of a combined approach including contamination indexes, geographic information system and multivariate statistical models in levels, distribution and sources study of metals in soils in Northern China.

作者信息

Huang Kuixian, Luo Xingzhang, Zheng Zheng

机构信息

Department of Environmental Science & Engineering, Fudan University, Shanghai, China.

出版信息

PLoS One. 2018 Feb 23;13(2):e0190906. doi: 10.1371/journal.pone.0190906. eCollection 2018.

DOI:10.1371/journal.pone.0190906
PMID:29474412
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5825019/
Abstract

The purpose of this study is to recognize the contamination characteristics of trace metals in soils and apportion their potential sources in Northern China to provide a scientific basis for basic of soil environment management and pollution control. The data set of metals for 12 elements in surface soil samples was collected. The enrichment factor and geoaccumulation index were used to identify the general geochemical characteristics of trace metals in soils. The UNMIX and positive matrix factorizations (PMF) models were comparatively applied to apportion their potential sources. Furthermore, geostatistical tools were used to study the spatial distribution of pollution characteristics and to identify the affected regions of sources that were derived from apportionment models. The soils were contaminated by Cd, Hg, Pb and Zn to varying degree. Industrial activities, agricultural activities and natural sources were identified as the potential sources determining the contents of trace metals in soils with contributions of 24.8%-24.9%, 33.3%-37.2% and 38.0%-41.8%, respectively. The slightly different results obtained from UNMIX and PMF might be caused by the estimations of uncertainty and different algorithms within the models.

摘要

本研究旨在认识中国北方土壤中痕量金属的污染特征并确定其潜在来源,为土壤环境管理和污染控制提供科学依据。收集了表层土壤样品中12种元素的金属数据集。采用富集因子和地累积指数来确定土壤中痕量金属的一般地球化学特征。比较应用UNMIX和正定矩阵因子分解(PMF)模型来确定其潜在来源。此外,利用地统计工具研究污染特征的空间分布,并确定源自源分配模型的受影响区域。土壤受到Cd、Hg、Pb和Zn不同程度的污染。工业活动、农业活动和自然源被确定为决定土壤中痕量金属含量的潜在来源,其贡献率分别为24.8%-24.9%、33.3%-37.2%和38.0%-41.8%。UNMIX和PMF得出的略有不同的结果可能是由模型内不确定性估计和不同算法导致的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3a9/5825019/ed6ed57b8177/pone.0190906.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3a9/5825019/486037adbffd/pone.0190906.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3a9/5825019/ae739ab5dcbc/pone.0190906.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3a9/5825019/ed6ed57b8177/pone.0190906.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3a9/5825019/486037adbffd/pone.0190906.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3a9/5825019/ae739ab5dcbc/pone.0190906.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3a9/5825019/ed6ed57b8177/pone.0190906.g003.jpg

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