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| Source apportionment of heavy metals in reclaimed soil of iron mine wasteland |
| Received:April 16, 2018 Revised:July 09, 2018 |
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| KeyWord:iron mine wasteland;reclaimed soil;heavy metals;source apportionment |
| Author Name | Affiliation | E-mail | | LIU Hui-lin | College of Earth and Environmental Sciences, Anhui University of Science and Technology, Huainan 230001, China, China | | | GE Chang | College of Earth and Environmental Sciences, Anhui University of Science and Technology, Huainan 230001, China, China | | | SHEN Qiang | College of Earth and Environmental Sciences, Anhui University of Science and Technology, Huainan 230001, China, China | | | HUANG Yuan-fang | College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China | | | ZHANG Shi-wen | College of Earth and Environmental Sciences, Anhui University of Science and Technology, Huainan 230001, China, China | mamin1190@126.com |
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| Abstract: |
| This study assesses the characteristics and main sources of heavy metals in soil reclaimed from iron mine wasteland. The pollution sources of heavy metals (As, Cd, Cr, Cu, Hg, and Zn), the percentage of contribution of every source for every element, and the spatial distribution characteristics in reclaimed soil were analyzed by combined multivariate statistical analysis and geostatistics. The results showed that the variation coefficient of the above-mentioned six heavy metals in the study area ranged from 31%~67%. In contrast to the local background value, except for Cr, all the elements were enriched, and the accumulation of As and Cu was obvious. There were three main sources of heavy metals in the reclaimed soil as per the correlation analysis, principal component analysis, and cluster analysis. PC1 (As, Hg, Cu) was derived from mine exploitation. PC2 (Cd, Zn)was derived from agricultural and transportation activities, and PC3 was derived from the soil parent material. The PCA/APCS receptor model and geostatistical analyses indicated that the heavy metals in the soils were derived from three sources. The contribution rate of source 1 to As, Hg, and Cu was 67.10%, 46.30%, and 89.82% respectively. The contribution rate of source 2 to Cd and Zn was 86.05% and 62.26% respectively, while the contribution rate of source 3 to Cr was 90.56%. The spatial distribution patterns of Cu, Cd, and Cr were consistent with the spatial distribution pattern of the maximum source contribution. |
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