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Analysis of Historical Sources of Heavy Metals in Lake Taihu Based on the Positive Matrix Factorization Model

Analysis of sediment grain sizes and heavy metal correlations in the western part of Lake Taihu shows that the grain size of the sediment is stable as a whole. With increasing depth, the grain size tends to decrease. Heavy metals such as Cr, Cd, Pd and Sr are strongly correlated and influence each o...

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Detalles Bibliográficos
Autores principales: Li, Yan, Mei, Liping, Zhou, Shenglu, Jia, Zhenyi, Wang, Junxiao, Li, Baojie, Wang, Chunhui, Wu, Shaohua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6068659/
https://www.ncbi.nlm.nih.gov/pubmed/30037034
http://dx.doi.org/10.3390/ijerph15071540
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author Li, Yan
Mei, Liping
Zhou, Shenglu
Jia, Zhenyi
Wang, Junxiao
Li, Baojie
Wang, Chunhui
Wu, Shaohua
author_facet Li, Yan
Mei, Liping
Zhou, Shenglu
Jia, Zhenyi
Wang, Junxiao
Li, Baojie
Wang, Chunhui
Wu, Shaohua
author_sort Li, Yan
collection PubMed
description Analysis of sediment grain sizes and heavy metal correlations in the western part of Lake Taihu shows that the grain size of the sediment is stable as a whole. With increasing depth, the grain size tends to decrease. Heavy metals such as Cr, Cd, Pd and Sr are strongly correlated and influence each other. Based on the positive matrix factorization (PMF) model, this study classified the origin of heavy metals in the sediments of western Lake Taihu into three major categories: Agricultural, industrial and geogenic. The contributions of the three heavy metal sources in each sample were analyzed and calculated. Overall, prior to the Chinese economic reform, the study area mainly practiced agriculture. The sources of heavy metals in the sediments were mostly of agricultural and geogenic origin, and remained relatively stable with contribution rates of 44.07 ± 11.84% (n = 30) and 35.67 ± 11.70% (n = 30), respectively. After the reform and opening up of China, as the economy experienced rapid development, industry and agriculture became the main sources of heavy metals in sediments, accounting for 56.99 ± 15.73% (n = 15) and 31.22 ± 14.31% (n = 15), respectively. The PMF model is convenient and efficient, and a good method to determine the origin of heavy metals in sediments.
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spelling pubmed-60686592018-08-07 Analysis of Historical Sources of Heavy Metals in Lake Taihu Based on the Positive Matrix Factorization Model Li, Yan Mei, Liping Zhou, Shenglu Jia, Zhenyi Wang, Junxiao Li, Baojie Wang, Chunhui Wu, Shaohua Int J Environ Res Public Health Article Analysis of sediment grain sizes and heavy metal correlations in the western part of Lake Taihu shows that the grain size of the sediment is stable as a whole. With increasing depth, the grain size tends to decrease. Heavy metals such as Cr, Cd, Pd and Sr are strongly correlated and influence each other. Based on the positive matrix factorization (PMF) model, this study classified the origin of heavy metals in the sediments of western Lake Taihu into three major categories: Agricultural, industrial and geogenic. The contributions of the three heavy metal sources in each sample were analyzed and calculated. Overall, prior to the Chinese economic reform, the study area mainly practiced agriculture. The sources of heavy metals in the sediments were mostly of agricultural and geogenic origin, and remained relatively stable with contribution rates of 44.07 ± 11.84% (n = 30) and 35.67 ± 11.70% (n = 30), respectively. After the reform and opening up of China, as the economy experienced rapid development, industry and agriculture became the main sources of heavy metals in sediments, accounting for 56.99 ± 15.73% (n = 15) and 31.22 ± 14.31% (n = 15), respectively. The PMF model is convenient and efficient, and a good method to determine the origin of heavy metals in sediments. MDPI 2018-07-20 2018-07 /pmc/articles/PMC6068659/ /pubmed/30037034 http://dx.doi.org/10.3390/ijerph15071540 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
Li, Yan
Mei, Liping
Zhou, Shenglu
Jia, Zhenyi
Wang, Junxiao
Li, Baojie
Wang, Chunhui
Wu, Shaohua
Analysis of Historical Sources of Heavy Metals in Lake Taihu Based on the Positive Matrix Factorization Model
title Analysis of Historical Sources of Heavy Metals in Lake Taihu Based on the Positive Matrix Factorization Model
title_full Analysis of Historical Sources of Heavy Metals in Lake Taihu Based on the Positive Matrix Factorization Model
title_fullStr Analysis of Historical Sources of Heavy Metals in Lake Taihu Based on the Positive Matrix Factorization Model
title_full_unstemmed Analysis of Historical Sources of Heavy Metals in Lake Taihu Based on the Positive Matrix Factorization Model
title_short Analysis of Historical Sources of Heavy Metals in Lake Taihu Based on the Positive Matrix Factorization Model
title_sort analysis of historical sources of heavy metals in lake taihu based on the positive matrix factorization model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6068659/
https://www.ncbi.nlm.nih.gov/pubmed/30037034
http://dx.doi.org/10.3390/ijerph15071540
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