Pollution Source Apportionment of Heavy Metals in Cultivated Soil Around a Red Mud Yard Based on APCS-MLR and PMF Models

被引：1
|
作者：
Shen Z.-J. [1 ]
Li J.-Q. [1 ]
Li C.-X. [1 ]
Liao Z.-Y. [1 ]
Mei N. [2 ]
Luo C.-Z. [2 ]
Wang D.-Y. [1 ]
Zhang C. [1 ]
机构：
[1] College of Resources and Environment, Southwest University, Chongqing
[2] Chongqing Municipal Solid Waste Management Center, Chongqing
来源：
Huanjing Kexue/Environmental Science | 2024年 / 45卷 / 02期
关键词：
cultivated soil; heavy metals; red mud yard; source apportionment; spatial distribution;
D O I：
10.13227/j.hjkx.202212191
中图分类号：
学科分类号：
摘要：
In order to explore the characteristics and sources of heavy metal pollution in cultivated soil around a red mud yard in Chongqing，the content and spatial distribution characteristics of eight heavy metal elements（Cd，Cr，Hg，Ni，Pb，As，Cu，and Zn）in the soil were analyzed，and the single factor pollution index method and Nemerow comprehensive pollution index method were used to evaluate the characteristics of heavy metal pollution in soil. On the basis of correlation analysis，the APCS-MLR and PMF models were used to quantitatively analyze the sources of heavy metals. The results showed that the average contents of the other seven heavy metal elements were higher than the background values of Chongqing soil，except for that of Cr. The heavy metals Cd，Hg，and As were moderately polluted，and Pb，Cu，Ni，and Zn were mildly polluted. The spatial distribution pattern of Cr，Ni，Pb，Cu，and Zn in the soil was similar，and there was a very significant positive correlation between them（P < 0. 01）. The spatial distribution characteristics of Cd，Hg，and As were significantly different，and there was no significant correlation between them（P > 0. 05）. The source apportionment showed that the sources of heavy metals in the soil in the study area were relatively complex，and the APCS-MLR and PMF models could identify the same four pollution sources，namely red mud yard percolation emission and natural sources，thermal power generation emission sources，agricultural activities and natural sources，and non-ferrous metal smelting emission sources. There was little difference in the results of source apportionment between the two models. The contribution rates of the four pollution sources in the APCS-MLR model were 51. 8%，18. 0%，15. 9%，and 14. 3%，respectively，whereas those in the PMF model were 45. 9%，12. 8%，21. 5%，and 19. 8%，respectively. © 2024 Science Press. All rights reserved.
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页码：1058 / 1068
页数：10
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