Factors that influence the spatial distribution of heavy metals in soil of the Yutian County, Xinjiang, China
In this study, 1165 surface soil samples for heavy metal analysis were collected in the Yutian County, Xinjiang, China. The factors that influence the spatial distribution of heavy metal elements in soils in the study area were analyzed by means of multivariate statistical analysis, geostatistics, s...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2019-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/24/e3sconf_wri-162018_06002.pdf |
| _version_ | 1818733683320815616 |
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| author | Chen Yunfei Zhou Jinlong Zhou Yinzhu Zeng Yanyan Sun Ying |
| author_facet | Chen Yunfei Zhou Jinlong Zhou Yinzhu Zeng Yanyan Sun Ying |
| author_sort | Chen Yunfei |
| collection | DOAJ |
| description | In this study, 1165 surface soil samples for heavy metal analysis were collected in the Yutian County, Xinjiang, China. The factors that influence the spatial distribution of heavy metal elements in soils in the study area were analyzed by means of multivariate statistical analysis, geostatistics, spatial autocorrelation, spatial analysis and GIS technology. Results show that among 1165 soil samples, three of which had As contents greater than the risk screening values. The theoretical models for variation function of Cd and Pb were exponential model, while the theoretical models for variation function of Hg, As, Cr, Cu, Ni and Zn were spherical model. Nugget value of Cd was less than 25%, indicated a relatively strong spatial correlation. Nugget value of other elements ranged between 25% and 50%, indicated significant spatial correlations. The spatial autocorrelation Moran's I index of soil heavy metal contents in the Yutian County was greater than 0. There was a positive spatial correlation distribution in the county scale. The spatial distribution of soil heavy metal contents in the Yutian County showed a general decreasing trend from the center of the study area to surrounding areas. Distribution of soil heavy metal contents in the Yutian County varied in different parent materials, soil types and land use patterns. Hg, As, Pb, Cr, Cu, Ni and Zn in soil derived from the same source, contents of which were affected by soil texture. |
| first_indexed | 2024-12-17T23:53:22Z |
| format | Article |
| id | doaj.art-e84585f0321b4e64bc1f49b6a77fe32e |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-12-17T23:53:22Z |
| publishDate | 2019-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-e84585f0321b4e64bc1f49b6a77fe32e2022-12-21T21:28:09ZengEDP SciencesE3S Web of Conferences2267-12422019-01-01980600210.1051/e3sconf/20199806002e3sconf_wri-162018_06002Factors that influence the spatial distribution of heavy metals in soil of the Yutian County, Xinjiang, ChinaChen YunfeiZhou JinlongZhou Yinzhu0Zeng YanyanSun YingKey Laboratory of Drinking Water Science and Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of SciencesIn this study, 1165 surface soil samples for heavy metal analysis were collected in the Yutian County, Xinjiang, China. The factors that influence the spatial distribution of heavy metal elements in soils in the study area were analyzed by means of multivariate statistical analysis, geostatistics, spatial autocorrelation, spatial analysis and GIS technology. Results show that among 1165 soil samples, three of which had As contents greater than the risk screening values. The theoretical models for variation function of Cd and Pb were exponential model, while the theoretical models for variation function of Hg, As, Cr, Cu, Ni and Zn were spherical model. Nugget value of Cd was less than 25%, indicated a relatively strong spatial correlation. Nugget value of other elements ranged between 25% and 50%, indicated significant spatial correlations. The spatial autocorrelation Moran's I index of soil heavy metal contents in the Yutian County was greater than 0. There was a positive spatial correlation distribution in the county scale. The spatial distribution of soil heavy metal contents in the Yutian County showed a general decreasing trend from the center of the study area to surrounding areas. Distribution of soil heavy metal contents in the Yutian County varied in different parent materials, soil types and land use patterns. Hg, As, Pb, Cr, Cu, Ni and Zn in soil derived from the same source, contents of which were affected by soil texture.https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/24/e3sconf_wri-162018_06002.pdf |
| spellingShingle | Chen Yunfei Zhou Jinlong Zhou Yinzhu Zeng Yanyan Sun Ying Factors that influence the spatial distribution of heavy metals in soil of the Yutian County, Xinjiang, China E3S Web of Conferences |
| title | Factors that influence the spatial distribution of heavy metals in soil of the Yutian County, Xinjiang, China |
| title_full | Factors that influence the spatial distribution of heavy metals in soil of the Yutian County, Xinjiang, China |
| title_fullStr | Factors that influence the spatial distribution of heavy metals in soil of the Yutian County, Xinjiang, China |
| title_full_unstemmed | Factors that influence the spatial distribution of heavy metals in soil of the Yutian County, Xinjiang, China |
| title_short | Factors that influence the spatial distribution of heavy metals in soil of the Yutian County, Xinjiang, China |
| title_sort | factors that influence the spatial distribution of heavy metals in soil of the yutian county xinjiang china |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/24/e3sconf_wri-162018_06002.pdf |
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