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Source Identification and Apportionment of Trace Elements in Soils in the Yangtze River Delta, China
Trace elements pollution has attracted a lot of attention worldwide. However, it is difficult to identify and apportion the sources of multiple element pollutants over large areas because of the considerable spatial complexity and variability in the distribution of trace elements in soil. In this st...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6025603/ https://www.ncbi.nlm.nih.gov/pubmed/29895746 http://dx.doi.org/10.3390/ijerph15061240 |
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author | Shao, Shuai Hu, Bifeng Fu, Zhiyi Wang, Jiayu Lou, Ge Zhou, Yue Jin, Bin Li, Yan Shi, Zhou |
author_facet | Shao, Shuai Hu, Bifeng Fu, Zhiyi Wang, Jiayu Lou, Ge Zhou, Yue Jin, Bin Li, Yan Shi, Zhou |
author_sort | Shao, Shuai |
collection | PubMed |
description | Trace elements pollution has attracted a lot of attention worldwide. However, it is difficult to identify and apportion the sources of multiple element pollutants over large areas because of the considerable spatial complexity and variability in the distribution of trace elements in soil. In this study, we collected total of 2051 topsoil (0–20 cm) samples, and analyzed the general pollution status of soils from the Yangtze River Delta, Southeast China. We applied principal component analysis (PCA), a finite mixture distribution model (FMDM), and geostatistical tools to identify and quantitatively apportion the sources of seven kinds of trace elements (chromium (Cr), cadmium (Cd), mercury (Hg), copper (Cu), zinc (Zn), nickel (Ni), and arsenic (As)) in soil. The PCA results indicated that the trace elements in soil in the study area were mainly from natural, multi-pollutant and industrial sources. The FMDM also fitted three sub log-normal distributions. The results from the two models were quite similar: Cr, As, and Ni were mainly from natural sources caused by parent material weathering; Cd, Cu, and Zu were mainly from mixed sources, with a considerable portion from anthropogenic activities such as traffic pollutants, domestic garbage, and agricultural inputs, and Hg was mainly from industrial wastes and pollutants. |
format | Online Article Text |
id | pubmed-6025603 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-60256032018-07-16 Source Identification and Apportionment of Trace Elements in Soils in the Yangtze River Delta, China Shao, Shuai Hu, Bifeng Fu, Zhiyi Wang, Jiayu Lou, Ge Zhou, Yue Jin, Bin Li, Yan Shi, Zhou Int J Environ Res Public Health Article Trace elements pollution has attracted a lot of attention worldwide. However, it is difficult to identify and apportion the sources of multiple element pollutants over large areas because of the considerable spatial complexity and variability in the distribution of trace elements in soil. In this study, we collected total of 2051 topsoil (0–20 cm) samples, and analyzed the general pollution status of soils from the Yangtze River Delta, Southeast China. We applied principal component analysis (PCA), a finite mixture distribution model (FMDM), and geostatistical tools to identify and quantitatively apportion the sources of seven kinds of trace elements (chromium (Cr), cadmium (Cd), mercury (Hg), copper (Cu), zinc (Zn), nickel (Ni), and arsenic (As)) in soil. The PCA results indicated that the trace elements in soil in the study area were mainly from natural, multi-pollutant and industrial sources. The FMDM also fitted three sub log-normal distributions. The results from the two models were quite similar: Cr, As, and Ni were mainly from natural sources caused by parent material weathering; Cd, Cu, and Zu were mainly from mixed sources, with a considerable portion from anthropogenic activities such as traffic pollutants, domestic garbage, and agricultural inputs, and Hg was mainly from industrial wastes and pollutants. MDPI 2018-06-12 2018-06 /pmc/articles/PMC6025603/ /pubmed/29895746 http://dx.doi.org/10.3390/ijerph15061240 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Shao, Shuai Hu, Bifeng Fu, Zhiyi Wang, Jiayu Lou, Ge Zhou, Yue Jin, Bin Li, Yan Shi, Zhou Source Identification and Apportionment of Trace Elements in Soils in the Yangtze River Delta, China |
title | Source Identification and Apportionment of Trace Elements in Soils in the Yangtze River Delta, China |
title_full | Source Identification and Apportionment of Trace Elements in Soils in the Yangtze River Delta, China |
title_fullStr | Source Identification and Apportionment of Trace Elements in Soils in the Yangtze River Delta, China |
title_full_unstemmed | Source Identification and Apportionment of Trace Elements in Soils in the Yangtze River Delta, China |
title_short | Source Identification and Apportionment of Trace Elements in Soils in the Yangtze River Delta, China |
title_sort | source identification and apportionment of trace elements in soils in the yangtze river delta, china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6025603/ https://www.ncbi.nlm.nih.gov/pubmed/29895746 http://dx.doi.org/10.3390/ijerph15061240 |
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