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Analysis of Heavy Metal Sources in the Soil of Riverbanks Across an Urbanization Gradient
Regional soil quality issues arising from rapid urbanization have received extensive attention. The riverbank that runs through a city is representative of urbanization gradient transformation. Thirty soil samples in the Yangtze River Delta urban agglomeration were collected and analyzed for the con...
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/PMC6209923/ https://www.ncbi.nlm.nih.gov/pubmed/30287769 http://dx.doi.org/10.3390/ijerph15102175 |
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author | Zuo, Shudi Dai, Shaoqing Li, Yaying Tang, Jianfeng Ren, Yin |
author_facet | Zuo, Shudi Dai, Shaoqing Li, Yaying Tang, Jianfeng Ren, Yin |
author_sort | Zuo, Shudi |
collection | PubMed |
description | Regional soil quality issues arising from rapid urbanization have received extensive attention. The riverbank that runs through a city is representative of urbanization gradient transformation. Thirty soil samples in the Yangtze River Delta urban agglomeration were collected and analyzed for the concentrations of seven analytes. Correlation, principle component analysis, cluster analysis and GeoDetector models suggested that the four groups (Cr-Ni-Cu, Cu-Zn-As-Sb, Cd and Pb) shared the same sources in the core urban region; five groups (Cr-Ni-Cu-Zn, As, Cd, Sb and Pb) in the suburbs and three groups (Cr-Ni, Cu-Zn-Cd-Sb-Pb and As) in the exurbs. GeoDetector methods not only validated the results of the three other methods, but also provided more possible impact factors. Besides the direct influences, the interaction effects among factors were quantified. Interactive combination with strong nonlinear increment changed from between-two-weak factors in the central region to between-strong-and-weak factors in the suburbs. In the exurbs, the stronger interaction effects were observed between strong and weak factors. Therefore, the GeoDetector model, which provided more detailed information of artificial sources could be used as a tool for identifying the potential factors of toxic elements and offering scientific basis for the development of subsequent pollution reduction strategies. |
format | Online Article Text |
id | pubmed-6209923 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-62099232018-11-02 Analysis of Heavy Metal Sources in the Soil of Riverbanks Across an Urbanization Gradient Zuo, Shudi Dai, Shaoqing Li, Yaying Tang, Jianfeng Ren, Yin Int J Environ Res Public Health Article Regional soil quality issues arising from rapid urbanization have received extensive attention. The riverbank that runs through a city is representative of urbanization gradient transformation. Thirty soil samples in the Yangtze River Delta urban agglomeration were collected and analyzed for the concentrations of seven analytes. Correlation, principle component analysis, cluster analysis and GeoDetector models suggested that the four groups (Cr-Ni-Cu, Cu-Zn-As-Sb, Cd and Pb) shared the same sources in the core urban region; five groups (Cr-Ni-Cu-Zn, As, Cd, Sb and Pb) in the suburbs and three groups (Cr-Ni, Cu-Zn-Cd-Sb-Pb and As) in the exurbs. GeoDetector methods not only validated the results of the three other methods, but also provided more possible impact factors. Besides the direct influences, the interaction effects among factors were quantified. Interactive combination with strong nonlinear increment changed from between-two-weak factors in the central region to between-strong-and-weak factors in the suburbs. In the exurbs, the stronger interaction effects were observed between strong and weak factors. Therefore, the GeoDetector model, which provided more detailed information of artificial sources could be used as a tool for identifying the potential factors of toxic elements and offering scientific basis for the development of subsequent pollution reduction strategies. MDPI 2018-10-04 2018-10 /pmc/articles/PMC6209923/ /pubmed/30287769 http://dx.doi.org/10.3390/ijerph15102175 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 Zuo, Shudi Dai, Shaoqing Li, Yaying Tang, Jianfeng Ren, Yin Analysis of Heavy Metal Sources in the Soil of Riverbanks Across an Urbanization Gradient |
title | Analysis of Heavy Metal Sources in the Soil of Riverbanks Across an Urbanization Gradient |
title_full | Analysis of Heavy Metal Sources in the Soil of Riverbanks Across an Urbanization Gradient |
title_fullStr | Analysis of Heavy Metal Sources in the Soil of Riverbanks Across an Urbanization Gradient |
title_full_unstemmed | Analysis of Heavy Metal Sources in the Soil of Riverbanks Across an Urbanization Gradient |
title_short | Analysis of Heavy Metal Sources in the Soil of Riverbanks Across an Urbanization Gradient |
title_sort | analysis of heavy metal sources in the soil of riverbanks across an urbanization gradient |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6209923/ https://www.ncbi.nlm.nih.gov/pubmed/30287769 http://dx.doi.org/10.3390/ijerph15102175 |
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