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| Source apportionment of heavy metals in farmland soil based on the APCS-MLR model |
| Received:November 05, 2020 |
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| KeyWord:heavy metal;cadmium;farmland soil;APCS-MLR receptor model |
| Author Name | Affiliation | E-mail | | HUO Ming-zhu | Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China | | | GAO Bing-bo | College of Land Science and Technology, China Agricultural University, Beijing 100083, China | | | QIAO Dong-yun | Agricultural Environmental Protection and Rural Energy Management Station in Jilin Province, Changchun 130021, China | | | Sainbuyan Bayarsaikhan | Institute of Geography and Geoecology, Mongolian Academy of Science, Ulaanbaatar 15170, Mongolia | | | AN Yi | Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China | | | HUO Li-li | Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China | huoliliforgood@163.com |
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| Abstract: |
| To analyze the source and contribution of heavy metals in the farmland soil of Xiangtan County, eight heavy metal elements consisting of cadmium(Cd), mercury(Hg), arsenic(As), lead(Pb), chromium(Cr), copper(Cu), zinc(Zn), and nickel(Ni) in Xiangtan County' s farmland soil, were qualitatively and quantitatively analyzed using geostatistics and mathematical statistics including correlation analysis, factor analysis, and the absolute principal component scores/multiple linear regression(APCS-MLR) receptor model. The results showed that:among the eight heavy metals, only the average value of Cd exceeded the screening value for soil pollution risk control in agricultural land(GB 15618-2018), and the spatial variability of Cd was very strong, followed by Hg, both of which were significantly affected by human activities. Geostatistics and mathematical statistics analyses indicated that the eight heavy metal elements were primarily from three sources, with industrial sources predominant in the northeast of Xiangtan County, where most industrial and mining enterprises are located. The contribution of industrial sources to Cd, Pb, Zn, and Hg was 65.36%, 49.21%, 43.43% and 22.12%, respectively; agricultural sources'contribution to As, Hg, and Pb was 59.20%, 24.97%, and 17.82%, respectively; and natural sources contributed 86.73%, 87.87%, and 89.67% to Ni, Cu, and Cr, respectively. The heavy metal content in the study area was mainly affected by industrial activities and natural parent materials. Therefore, it is necessary to strengthen the source control of Cd, as well as the management and remediation processes, and reduce the risk level. The combination of the acceptor model and geostatistics can effectively analyze the source and contribution rate of heavy metals in farmland soil qualitatively and quantitatively. |
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