Simulation of Heavy Metals Migration in Soil-Wheat System of Mining Area
Heavy metals in the soil of mining areas have become a primary source of pollution, which could cause deleterious health effects in people exposed through soil-plant systems via multi-pathways. A long-term field experiment under natural conditions was carried out to explore the distribution characte...
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2019-07-01
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Online Access: | https://www.mdpi.com/1660-4601/16/14/2550 |
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record_format |
Article |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Aman Fang Jihong Dong Ru Zhang |
spellingShingle |
Aman Fang Jihong Dong Ru Zhang Simulation of Heavy Metals Migration in Soil-Wheat System of Mining Area International Journal of Environmental Research and Public Health soil-wheat system heavy metals concentration characteristic risk assessment migration model mining area |
author_facet |
Aman Fang Jihong Dong Ru Zhang |
author_sort |
Aman Fang |
title |
Simulation of Heavy Metals Migration in Soil-Wheat System of Mining Area |
title_short |
Simulation of Heavy Metals Migration in Soil-Wheat System of Mining Area |
title_full |
Simulation of Heavy Metals Migration in Soil-Wheat System of Mining Area |
title_fullStr |
Simulation of Heavy Metals Migration in Soil-Wheat System of Mining Area |
title_full_unstemmed |
Simulation of Heavy Metals Migration in Soil-Wheat System of Mining Area |
title_sort |
simulation of heavy metals migration in soil-wheat system of mining area |
publisher |
MDPI AG |
series |
International Journal of Environmental Research and Public Health |
issn |
1660-4601 |
publishDate |
2019-07-01 |
description |
Heavy metals in the soil of mining areas have become a primary source of pollution, which could cause deleterious health effects in people exposed through soil-plant systems via multi-pathways. A long-term field experiment under natural conditions was carried out to explore the distribution characteristic and migration law of heavy metals in a soil-wheat system of a mining area in Xuzhou. According to the second level standard of environmental quality standards for soils of China (GB 15618-1995), 30.8 g of CrCl<sub>3</sub>·6H<sub>2</sub>O, 8.3 g of Pb(CH<sub>3</sub>COO)<sub>2</sub>·3H<sub>2</sub>O, and 16.5 g of ZnSO<sub>4</sub>·7H<sub>2</sub>O were added into the soil of three experimental sites, respectively. The other experimental site with no additional compounds was used as the control site. The Cr, Pb, and Zn concentrations in the soil-wheat system were counted and their corresponding migration models were constructed. From 2014 to 2017, the mean concentrations of Cr (49.09 mg·kg<sup>−1</sup>), Pb (20.08 mg·kg<sup>−1</sup>), and Zn (39.11 mg·kg<sup>−1</sup>) in the soil of the addition sites were higher than that of the control site. The mean concentrations of Cr, Pb, and Zn in wheat of the addition sites were greater than that of the control site with the values of 3.29, 0.06, and 29 mg·kg<sup>−1</sup>. In comparison, the Cr, Pb, and Zn concentrations in the soil of all experimental sites were lower than the second level standard of environmental quality standards for soils of China (GB 15618-1995), whereas the Cr concentration exceeded its corresponding soil background value of Xuzhou in 2017. The Pb concentration in soil of the addition site was greater than its corresponding background value from 2014 to 2016. The Pb and Zn concentrations in wheat of all experimental sites were lower than the national hygienic standard for grains of China (GB2715-2005) and the national guidelines for cereals of China (NY 861-2004), but the Cr concentration significantly exceeded the national guidelines for cereals of China (NY 861-2004). By constructing the Identical-Discrepant-Contrary (IDC) gray connection models, the result showed that there was a non-linear relationship of Cr, Pb, and Zn concentrations in the soil-wheat system, and the absolute values of most correlation coefficients <inline-formula> <math display="inline"> <semantics> <mi mathvariant="normal">r</mi> </semantics> </math> </inline-formula> were lower than 0.5 and the values of greyness <inline-formula> <math display="inline"> <semantics> <mrow> <msub> <mi>f</mi> <mi>G</mi> </msub> <mrow> <mo>(</mo> <mi>r</mi> <mo>)</mo> </mrow> </mrow> </semantics> </math> </inline-formula> were more than 0.5. The curvilinear regression models could not reflect the relationship of Cr, Pb, and Zn concentrations in the soil-wheat system with the regression coefficient <inline-formula> <math display="inline"> <semantics> <mrow> <msup> <mi>r</mi> <mn>2</mn> </msup> </mrow> </semantics> </math> </inline-formula> values far less than 1. Due to the values of regression coefficient <inline-formula> <math display="inline"> <semantics> <mrow> <msup> <mi>r</mi> <mn>2</mn> </msup> </mrow> </semantics> </math> </inline-formula> being close to 1, this study suggested that the allocation estimation models could be used for simulating the Cr, Pb, and Zn migration in the soil-wheat system of a mining area in Xuzhou. |
topic |
soil-wheat system heavy metals concentration characteristic risk assessment migration model mining area |
url |
https://www.mdpi.com/1660-4601/16/14/2550 |
work_keys_str_mv |
AT amanfang simulationofheavymetalsmigrationinsoilwheatsystemofminingarea AT jihongdong simulationofheavymetalsmigrationinsoilwheatsystemofminingarea AT ruzhang simulationofheavymetalsmigrationinsoilwheatsystemofminingarea |
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1725863125203288064 |
spelling |
doaj-45cb8a8383274da7b419997cff1dcca02020-11-24T21:55:22ZengMDPI AGInternational Journal of Environmental Research and Public Health1660-46012019-07-011614255010.3390/ijerph16142550ijerph16142550Simulation of Heavy Metals Migration in Soil-Wheat System of Mining AreaAman Fang0Jihong Dong1Ru Zhang2School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, ChinaHeavy metals in the soil of mining areas have become a primary source of pollution, which could cause deleterious health effects in people exposed through soil-plant systems via multi-pathways. A long-term field experiment under natural conditions was carried out to explore the distribution characteristic and migration law of heavy metals in a soil-wheat system of a mining area in Xuzhou. According to the second level standard of environmental quality standards for soils of China (GB 15618-1995), 30.8 g of CrCl<sub>3</sub>·6H<sub>2</sub>O, 8.3 g of Pb(CH<sub>3</sub>COO)<sub>2</sub>·3H<sub>2</sub>O, and 16.5 g of ZnSO<sub>4</sub>·7H<sub>2</sub>O were added into the soil of three experimental sites, respectively. The other experimental site with no additional compounds was used as the control site. The Cr, Pb, and Zn concentrations in the soil-wheat system were counted and their corresponding migration models were constructed. From 2014 to 2017, the mean concentrations of Cr (49.09 mg·kg<sup>−1</sup>), Pb (20.08 mg·kg<sup>−1</sup>), and Zn (39.11 mg·kg<sup>−1</sup>) in the soil of the addition sites were higher than that of the control site. The mean concentrations of Cr, Pb, and Zn in wheat of the addition sites were greater than that of the control site with the values of 3.29, 0.06, and 29 mg·kg<sup>−1</sup>. In comparison, the Cr, Pb, and Zn concentrations in the soil of all experimental sites were lower than the second level standard of environmental quality standards for soils of China (GB 15618-1995), whereas the Cr concentration exceeded its corresponding soil background value of Xuzhou in 2017. The Pb concentration in soil of the addition site was greater than its corresponding background value from 2014 to 2016. The Pb and Zn concentrations in wheat of all experimental sites were lower than the national hygienic standard for grains of China (GB2715-2005) and the national guidelines for cereals of China (NY 861-2004), but the Cr concentration significantly exceeded the national guidelines for cereals of China (NY 861-2004). By constructing the Identical-Discrepant-Contrary (IDC) gray connection models, the result showed that there was a non-linear relationship of Cr, Pb, and Zn concentrations in the soil-wheat system, and the absolute values of most correlation coefficients <inline-formula> <math display="inline"> <semantics> <mi mathvariant="normal">r</mi> </semantics> </math> </inline-formula> were lower than 0.5 and the values of greyness <inline-formula> <math display="inline"> <semantics> <mrow> <msub> <mi>f</mi> <mi>G</mi> </msub> <mrow> <mo>(</mo> <mi>r</mi> <mo>)</mo> </mrow> </mrow> </semantics> </math> </inline-formula> were more than 0.5. The curvilinear regression models could not reflect the relationship of Cr, Pb, and Zn concentrations in the soil-wheat system with the regression coefficient <inline-formula> <math display="inline"> <semantics> <mrow> <msup> <mi>r</mi> <mn>2</mn> </msup> </mrow> </semantics> </math> </inline-formula> values far less than 1. Due to the values of regression coefficient <inline-formula> <math display="inline"> <semantics> <mrow> <msup> <mi>r</mi> <mn>2</mn> </msup> </mrow> </semantics> </math> </inline-formula> being close to 1, this study suggested that the allocation estimation models could be used for simulating the Cr, Pb, and Zn migration in the soil-wheat system of a mining area in Xuzhou.https://www.mdpi.com/1660-4601/16/14/2550soil-wheat systemheavy metalsconcentration characteristicrisk assessmentmigration modelmining area |