Spatial Variability and Distribution of the Metals in Surface Runoff in a Nonferrous Metal Mine

The spatial variation and distribution features of the metals tested in the surface runoff in Xikuangshan Bao Daxing miming area were analyzed by combining statistical methods with a geographic information system (GIS). The results showed that the maximum concentrations of those five kinds of the me...

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Main Authors: Bozhi Ren, Yangbo Chen, Guocheng Zhu, Zhenghua Wang, Xie Zheng
Format: Article
Language:English
Published: Hindawi Limited 2016-01-01
Series:Journal of Analytical Methods in Chemistry
Online Access:http://dx.doi.org/10.1155/2016/4515673
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spelling doaj-f7b0776f0f304986bbb4aabe9e4a422f2020-11-24T22:13:21ZengHindawi LimitedJournal of Analytical Methods in Chemistry2090-88652090-88732016-01-01201610.1155/2016/45156734515673Spatial Variability and Distribution of the Metals in Surface Runoff in a Nonferrous Metal MineBozhi Ren0Yangbo Chen1Guocheng Zhu2Zhenghua Wang3Xie Zheng4College of Civil Engineering, Hunan University of Science & Technology, Xiangtan 411201, ChinaCollege of Civil Engineering, Hunan University of Science & Technology, Xiangtan 411201, ChinaCollege of Civil Engineering, Hunan University of Science & Technology, Xiangtan 411201, ChinaCollege of Civil Engineering, Hunan University of Science & Technology, Xiangtan 411201, ChinaCollege of Civil Engineering, Hunan University of Science & Technology, Xiangtan 411201, ChinaThe spatial variation and distribution features of the metals tested in the surface runoff in Xikuangshan Bao Daxing miming area were analyzed by combining statistical methods with a geographic information system (GIS). The results showed that the maximum concentrations of those five kinds of the metals (Sb, Zn, Cu, Pb, and Cd) in the surface runoff of the antimony mining area were lower than the standard value except the concentration of metal Ni. Their concentrations were 497.1, 2.0, 1.8, 22.2, and 22.1 times larger than the standard value, respectively. This metal pollution was mainly concentrated in local areas, which were seriously polluted. The variation coefficient of Sb, Zn, Cu, Ni, Pb, and Cd was between 0.4 to 0.6, wherein the Sb’s spatial variability coefficient is 50.56%, indicating a strong variability. Variation coefficients of the rest of metals were less than 50%, suggesting a moderate variability. The spatial structure analysis showed that the squared correlation coefficient (R2) of the models fitting for Sb, Zn, Cu, Ni, Pb, and Cd was between 0.721 and 0.976; the ratio of the nugget value (C0) to the abutment value (C+C0) was between 0.0767 and 0.559; the semivariogram of Sb, Zn, Ni, and Pb was in agreement with a spherical model, while semivariogram of Cu and Cd was in agreement with Gaussian model, and both had a strong spatial correlation. The trend and spatial distribution indicated that those pollution distributions resulting from Ni, Pb, and Cd are similar, mainly concentrated in both ends of north and south in eastern part. The main reasons for the pollution were attributed to the residents living, transportation, and industrial activities; the Sb distribution was concentrated mainly in the central part, of which the pollution was assigned to the mining and the industrial activity; the pollution distributions of Zn and Cu were similar, mainly concentrated in both ends of north and south as well as in west; the sources of the metals were widely distributed.http://dx.doi.org/10.1155/2016/4515673
collection DOAJ
language English
format Article
sources DOAJ
author Bozhi Ren
Yangbo Chen
Guocheng Zhu
Zhenghua Wang
Xie Zheng
spellingShingle Bozhi Ren
Yangbo Chen
Guocheng Zhu
Zhenghua Wang
Xie Zheng
Spatial Variability and Distribution of the Metals in Surface Runoff in a Nonferrous Metal Mine
Journal of Analytical Methods in Chemistry
author_facet Bozhi Ren
Yangbo Chen
Guocheng Zhu
Zhenghua Wang
Xie Zheng
author_sort Bozhi Ren
title Spatial Variability and Distribution of the Metals in Surface Runoff in a Nonferrous Metal Mine
title_short Spatial Variability and Distribution of the Metals in Surface Runoff in a Nonferrous Metal Mine
title_full Spatial Variability and Distribution of the Metals in Surface Runoff in a Nonferrous Metal Mine
title_fullStr Spatial Variability and Distribution of the Metals in Surface Runoff in a Nonferrous Metal Mine
title_full_unstemmed Spatial Variability and Distribution of the Metals in Surface Runoff in a Nonferrous Metal Mine
title_sort spatial variability and distribution of the metals in surface runoff in a nonferrous metal mine
publisher Hindawi Limited
series Journal of Analytical Methods in Chemistry
issn 2090-8865
2090-8873
publishDate 2016-01-01
description The spatial variation and distribution features of the metals tested in the surface runoff in Xikuangshan Bao Daxing miming area were analyzed by combining statistical methods with a geographic information system (GIS). The results showed that the maximum concentrations of those five kinds of the metals (Sb, Zn, Cu, Pb, and Cd) in the surface runoff of the antimony mining area were lower than the standard value except the concentration of metal Ni. Their concentrations were 497.1, 2.0, 1.8, 22.2, and 22.1 times larger than the standard value, respectively. This metal pollution was mainly concentrated in local areas, which were seriously polluted. The variation coefficient of Sb, Zn, Cu, Ni, Pb, and Cd was between 0.4 to 0.6, wherein the Sb’s spatial variability coefficient is 50.56%, indicating a strong variability. Variation coefficients of the rest of metals were less than 50%, suggesting a moderate variability. The spatial structure analysis showed that the squared correlation coefficient (R2) of the models fitting for Sb, Zn, Cu, Ni, Pb, and Cd was between 0.721 and 0.976; the ratio of the nugget value (C0) to the abutment value (C+C0) was between 0.0767 and 0.559; the semivariogram of Sb, Zn, Ni, and Pb was in agreement with a spherical model, while semivariogram of Cu and Cd was in agreement with Gaussian model, and both had a strong spatial correlation. The trend and spatial distribution indicated that those pollution distributions resulting from Ni, Pb, and Cd are similar, mainly concentrated in both ends of north and south in eastern part. The main reasons for the pollution were attributed to the residents living, transportation, and industrial activities; the Sb distribution was concentrated mainly in the central part, of which the pollution was assigned to the mining and the industrial activity; the pollution distributions of Zn and Cu were similar, mainly concentrated in both ends of north and south as well as in west; the sources of the metals were widely distributed.
url http://dx.doi.org/10.1155/2016/4515673
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