Cargando…

Spatial Distribution and Health Risk Assessment of Potentially Toxic Elements in Surface Soils of Bosten Lake Basin, Central Asia

A geographically weighted regression and classical linear model were applied to quantitatively reveal the factors influencing the spatial distribution of potentially toxic elements of forty-eight surface soils from Bosten Lake basin in Central Asia. At the basin scale, the spatial distribution of th...

Descripción completa

Detalles Bibliográficos
Autores principales: Ma, Long, Abuduwaili, Jilili, Liu, Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6801520/
https://www.ncbi.nlm.nih.gov/pubmed/31590253
http://dx.doi.org/10.3390/ijerph16193741
_version_ 1783460592200187904
author Ma, Long
Abuduwaili, Jilili
Liu, Wen
author_facet Ma, Long
Abuduwaili, Jilili
Liu, Wen
author_sort Ma, Long
collection PubMed
description A geographically weighted regression and classical linear model were applied to quantitatively reveal the factors influencing the spatial distribution of potentially toxic elements of forty-eight surface soils from Bosten Lake basin in Central Asia. At the basin scale, the spatial distribution of the majority of potentially toxic elements, including: cobalt (Co), chromium (Cr), copper (Cu), nickel (Ni), lead (Pb), thallium (Tl), vanadium (V), and zinc (Zn), had been significantly influenced by the geochemical characteristics of the soil parent material. However, the arsenic (As), cadmium (Cd), antimony (Sb), and mercury (Hg) have been influenced by the total organic matter in soils. Compared with the results of the classical linear model, the geographically weighted regression can significantly increase the level of simulation at the basin spatial scale. The fitting coefficients of the predicted values and the actual measured values significantly increased from the classical linear model (Hg: r(2) = 0.31; Sb: r(2) = 0.64; Cd: r(2) = 0.81; and As: r(2) = 0.68) to the geographically weighted regression (Hg: r(2) = 0.56; Sb: r(2) = 0.74; Cd: r(2) = 0.89; and As: r(2) = 0.85). Based on the results of the geographically weighted regression, the average values of the total organic matter for As (28.7%), Cd (39.2%), Hg (46.5%), and Sb (26.6%) were higher than those for the other potentially toxic elements: Cr (0.1%), Co (4.0%), Ni (5.3%), V (0.7%), Cu (18.0%), Pb (7.8%), Tl (14.4%), and Zn (21.4%). There were no significant non-carcinogenic risks to human health, however, the results suggested that the spatial distribution of potentially toxic elements had significant differences.
format Online
Article
Text
id pubmed-6801520
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-68015202019-10-31 Spatial Distribution and Health Risk Assessment of Potentially Toxic Elements in Surface Soils of Bosten Lake Basin, Central Asia Ma, Long Abuduwaili, Jilili Liu, Wen Int J Environ Res Public Health Article A geographically weighted regression and classical linear model were applied to quantitatively reveal the factors influencing the spatial distribution of potentially toxic elements of forty-eight surface soils from Bosten Lake basin in Central Asia. At the basin scale, the spatial distribution of the majority of potentially toxic elements, including: cobalt (Co), chromium (Cr), copper (Cu), nickel (Ni), lead (Pb), thallium (Tl), vanadium (V), and zinc (Zn), had been significantly influenced by the geochemical characteristics of the soil parent material. However, the arsenic (As), cadmium (Cd), antimony (Sb), and mercury (Hg) have been influenced by the total organic matter in soils. Compared with the results of the classical linear model, the geographically weighted regression can significantly increase the level of simulation at the basin spatial scale. The fitting coefficients of the predicted values and the actual measured values significantly increased from the classical linear model (Hg: r(2) = 0.31; Sb: r(2) = 0.64; Cd: r(2) = 0.81; and As: r(2) = 0.68) to the geographically weighted regression (Hg: r(2) = 0.56; Sb: r(2) = 0.74; Cd: r(2) = 0.89; and As: r(2) = 0.85). Based on the results of the geographically weighted regression, the average values of the total organic matter for As (28.7%), Cd (39.2%), Hg (46.5%), and Sb (26.6%) were higher than those for the other potentially toxic elements: Cr (0.1%), Co (4.0%), Ni (5.3%), V (0.7%), Cu (18.0%), Pb (7.8%), Tl (14.4%), and Zn (21.4%). There were no significant non-carcinogenic risks to human health, however, the results suggested that the spatial distribution of potentially toxic elements had significant differences. MDPI 2019-10-04 2019-10 /pmc/articles/PMC6801520/ /pubmed/31590253 http://dx.doi.org/10.3390/ijerph16193741 Text en © 2019 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
Ma, Long
Abuduwaili, Jilili
Liu, Wen
Spatial Distribution and Health Risk Assessment of Potentially Toxic Elements in Surface Soils of Bosten Lake Basin, Central Asia
title Spatial Distribution and Health Risk Assessment of Potentially Toxic Elements in Surface Soils of Bosten Lake Basin, Central Asia
title_full Spatial Distribution and Health Risk Assessment of Potentially Toxic Elements in Surface Soils of Bosten Lake Basin, Central Asia
title_fullStr Spatial Distribution and Health Risk Assessment of Potentially Toxic Elements in Surface Soils of Bosten Lake Basin, Central Asia
title_full_unstemmed Spatial Distribution and Health Risk Assessment of Potentially Toxic Elements in Surface Soils of Bosten Lake Basin, Central Asia
title_short Spatial Distribution and Health Risk Assessment of Potentially Toxic Elements in Surface Soils of Bosten Lake Basin, Central Asia
title_sort spatial distribution and health risk assessment of potentially toxic elements in surface soils of bosten lake basin, central asia
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6801520/
https://www.ncbi.nlm.nih.gov/pubmed/31590253
http://dx.doi.org/10.3390/ijerph16193741
work_keys_str_mv AT malong spatialdistributionandhealthriskassessmentofpotentiallytoxicelementsinsurfacesoilsofbostenlakebasincentralasia
AT abuduwailijilili spatialdistributionandhealthriskassessmentofpotentiallytoxicelementsinsurfacesoilsofbostenlakebasincentralasia
AT liuwen spatialdistributionandhealthriskassessmentofpotentiallytoxicelementsinsurfacesoilsofbostenlakebasincentralasia