基于APCS-MLR和PMF的铅锌矿流域土壤重金属来源解析

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Abstract This study took a typical lead-zinc mining area in Yangshuo county, Guangxi as the research object, and analyzed the contents of 10 heavy metal elements (Cr, Mn, Ni, Cu, Zn, As, Cd, Sb, Hg, and Pb) in the surface soil. The absolute principal component scores-multiple linear regression (APCS-MLR) model and positive definite matrix factorization (PMF) model were comprehensively used to identify and quantitatively analyze pollution sources and their contribution. The results showed that the means content of Pb, Zn, Hg, Cd, Mn, and Cu were higher than their corresponding local background values by approximately 3.29~13.08 times, Cr, Ni, As, and Sb also exceeded the background value in some areas, indicated that heavy metal pollution existed in the study area. The 10 heavy metals were mainly distributed in strips and spots at various depths, and the high content of Mn, Cu, Zn, As, Cd, Sb, and Pb were mainly distributed in the left bank of the Side river and southeast of the study area. The high contents of Cr, Ni, and Hg were mainly distributed in strip highlands of the central and western of study area. The source apportionment results of the APCS-MLR model and the PMF model were relatively consistent in terms of pollution sources. The metal pollution sources in the surface soil were jointly affected by mining activities, natural sources (such as, soil parent materials, rainfall erosion, etc), and mixed source of mining activities and agricultural activities. There were differences in the contribution rate of the APCS-MLR model and the PMF model. For the APCS-MLR model, the contribution rate of pollution sources in the order of mixed sources of mining activities and agricultural activities (30.95%), mining activities (22.39%), natural sources (15.79%), and unidentified sources (8.35%). The PMF model extracted the contribution of pollution sources in the order of mining activities (35.16%), tailings and waste (28.21%), mixed sources of mining activities and agricultural activities (20.89%), and natural sources (15.74%). The reasons for the difference in the pollution sources apportionment of the APCS-MLR model and PMF model may be attributed to different factor extraction methods, orthogonality constraint of the APCS-MLR model, and the uncertainty consideration and the non-negative constraint of the PMF model.

Key words： lead-zinc mine heavy metal in soil source apportionment APCS-MLR model PMF model

Received: 25 July 2022

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X131.3

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	LIU Nan
	TANG Ying-ying
	CHEN Meng
	PAN Yong-xing

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LIU Nan,TANG Ying-ying,CHEN Meng等. Source apportionment of soil heavy metals in lead-zinc area based on APCS-MLR and PMF[J]. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(3): 1267-1276.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2023/V43/I3/1267

[1]	王乔林,宋云涛,王成文,等.滇西地区土壤重金属来源解析及空间分布[J]. 中国环境科学, 2021,41(8):3693-3703. Wang Q L, Song Y T, Wang C W, et al. Source identification and spatial distribution of soil heavy metals in Western Yunnan[J]. China Environmental Science, 2021,41(8):3693-3703.
[2]	王诚煜,李玉超,于成广,等.葫芦岛东北部土壤重金属分布特征及来源解析[J]. 中国环境科学, 2021,41(11):5227-5236. Wang C Y, LI Y C, YU C G, et al. Distribution characteristics and sources of soil heavy metals in soils in the area of northeastern Huludao City[J]. China Environmental Science, 2021,41(11):5227-5236.
[3]	Zerizghi T, Guo Q, Tian L, et al. An integrated approach to quantify ecological and human health risks of soil heavy metal contamination around coal mining area[J]. Science of the total environment, 2021,814:152653.
[4]	Hong H, Dai M, Lu H, et al. Risk assessment and driving factors for artificial topography on element heterogeneity:case study at Jiangsu, China[J]. Environmental Pollution, 2018,233:246.
[5]	洪涛,孔祥胜,岳祥飞.滇东南峰丛洼地土壤重金属含量、来源及潜在生态风险评价[J]. 环境科学, 2019,40(10):4620-4627. Hong T, Kong X S, Yue X F. Concentration characteristics, source analysis, and potential ecological risk assessment of heavy metals in a peak-cluster depression area, Southeast of Yunnan province[J]. Environmental Science, 2019,40(10):4620-4627.
[6]	闫晓露,郑欢,赵烜杭,等.辽东湾北部河口区土壤重金属污染源识别及健康风险评价[J]. 环境科学学报, 2020,40(8):3028-3039. Yan X L, Zheng H, Zhao X H, et al. Source identification and health risk assessment of soil heavy metal in the estuary of Northern Liaodong Bay, China[J]. Acta Scientiae Circumstantiae, 2020,40(8):3028-3039.
[7]	韩培培,谢俭,王剑,等.丹江口水库新增淹没区农田土壤重金属源解析[J]. 中国环境科学, 2016,36(8):2437-2443. Han P P, Xie J, Wang J, et al. Source apportionment of heavy metals in farmland soil from new submerged area in Danjiangkou Reservoir[J]. China Environmental Science, 2016,36(8):2437-2443.
[8]	肖文丹,叶雪珠,张棋,等.基于稳定同位素与多元素的土壤铅污染源解析[J]. 中国环境科学, 2021,41(5):2319-2328. Xiao W D, Ye X Z, Zhang Q, et al. Source apportionment of lead pollution in soil based on the stable isotope and multi element characteristics[J]. China Environmental Science, 2021,41(5):2319-2328.
[9]	卢鑫,胡文友,黄标,等.基于UNMIX模型的矿区周边农田土壤重金属源解析[J]. 环境科学, 2018,39(3):1421-1429. Lu X, Hu W Y, Huang B, et al. Source apportionment of heavy metals in farmland soils around mining area based on UNMIX model[J]. Environmental Science, 2018,39(3):1421-1429.
[10]	彭杏,史旭荣,史国良,等.基于受体模型和源成分谱的缺失组分反演算法[J]. 中国环境科学, 2019,39(3):939-947. Peng X, Shi X R, Shi G L, et al. Reverse modeling of source markers based on receptor model and source profiles[J]. China Environmental Science, 2019,39(3):939-947.
[11]	王成,赵艳萍,谢鸣捷.苏南典型工农业交错区土壤铅富集特征及源解析——基于PCA-PMF方法[J]. 中国环境科学, 2021,41(1):279-287. Wang C, Zhao Y P, Xie M J. Characteristics of lead enrichment in the soil from a typical peri-urban agricultural area of the southern Jiangsu and source appointment based on the PCA-PMF method[J]. China Environmental Science, 2021,41(1):279-287.
[12]	王苏蓉,喻义勇,王勤耕,等.基于PMF模式的南京市大气细颗粒物源解析[J]. 中国环境科学, 2015,35(12):3535-3542. Wang S R, Yu Y Y, Wang Q G, et al. Source apportionment of PM2.5 in Nanjing by PMF[J]. China Environmental Science, 2015,35(12):3535-3542.
[13]	Zhang W, Yan Y, Yu R, et al. The sources-specific health risk assessment combined with APCS/MLR model for heavy metals in tea garden soils from south Fujian Province, China[J]. Catena, 2021, 203:105306.
[14]	Li Y, Zhou S, Liu K, et al. Application of APCS-MLR receptor model for source apportionment of char and soot in sediments[J]. Science of the Total Environment, 2020,746:141165.
[15]	Hu Y, Cheng H. Application of stochastic models in identification and apportionment of heavy metal pollution sources in the surface soils of a large-scale region[J]. Environmental Science & Technology, 2013,47(8):3752-3760.
[16]	黄赫,周勇,刘宇杰,等.基于多源环境变量和随机森林的农用地土壤重金属源解析——以襄阳市襄州区为例[J]. 环境科学学报, 2020,40(12):4548-4558. Huang H, Zhou Y, Liu Y J, et al. Source analysis of heavy metals in farmland based on environmental variables and random forest approach:District of Xiangzhou District in Xiangyang City[J]. Acta Scientiae Circumstantiae, 2020,40(12):4548-4558.
[17]	Meng L, Zuo R, Wang J, et al. Apportionment and evolution of pollution sources in a typical riverside groundwater resource area using PCA-APCS-MLR model[J]. Journal of contaminant hydrology, 2018,218:70-83.
[18]	Qu Y, Chen L, Pardee A D, et al. Intralesional delivery of dendritic cells engineered to express T-bet promotes protective type 1immunity and the normalization of the tumor Microenvironment[J]. The Journal of Immunology, 2010,185(5):2895-2902.
[19]	Hu X, Xu X, Ding Z, et al. In vitro inhalation/ingestion bioaccessibility, health risks, and source appointment of airborne particle-bound elements trapped in room air conditioner filters[J]. Environmental Science and Pollution Research, 2018,25(26):26059-26068.
[20]	李娇,滕彦国,吴劲,等.PMF模型解析土壤重金属来源的不确定性[J]. 中国环境科学, 2020,40(2):716-725. Li J, Teng Y G, Wu J, et al. Uncertainty analysis of soil heavy metal source apportionment by PMF model[J]. China Environmental Science, 2020,40(2):716-725.
[21]	Sangil L, Liu W, Wang Y, et al. Source apportionment of PM2.5:comparing PMF and CMB results for four ambient monitoring sites in the southeastern United States[J]. Atmospheric Environment, 2008, 42(18):4126-4137.
[22]	Prapat P, Nguyen T K. Further analysis and PMF application to the chemical composition data of IPCAJ's Kashima SPM study[J]. International Journal of Environment and Pollution, 2010,40(4):337-350.
[23]	胡清菁.铅锌尾矿砂污染对不同土地利用类型土壤性质的影响——以广西思的村为例[D]. 南宁:广西大学, 2014. Hu Q J. Soil metal contamination, microflora and enzyme activities of different land use types in the Lead/Zinc mine tailing dam collapse area (Sidi village, in Yangshuo, of Guangxi, China)[D]. Nanning:Guangxi University, 2014.
[24]	李强,李忠义,靳振江,等.基于典范对应分析的铅锌矿尾砂坝坍塌污染土壤特征研究[J]. 地质论评, 2014,60(2):443-448. Li Q, Li Z Y, Jin Z J, et al. Relationships between soil and environment in pollution of agricultural soils from a tailing spill at a Pb-Zn mine based on canonical correspondence analysis[J]. Geological Review, 2014,60(2):443-448.
[25]	李强,胡清菁,张超兰,等.基于土壤酶总体活性评价铅锌尾矿砂坍塌区土壤重金属污染[J]. 生态环境学报, 2014,23(11):1839-1844. Li Q, Hu Q J, Zhang C L, et al. Assessment on heavy metals in the Pb-Zn mine tailing dam collapse area based on total enzyme activity index[J]. Ecology and Environmental Sciences, 2014,23(11):1839-1844.
[26]	莫福金,钱建平,王远炜,等.广西阳朔铅锌矿周边土壤和白菜汞含量及污染评价[J]. 生态环境学报, 2016,25(1):156-161. Mo F J, Qian J P, Wang Y W, et al. Mercury content and pollution assessment of soil and cabbage surrounding Yangshuo Pb-Zn mining district in Guangxi[J]. Ecology and Environmental Sciences, 2016, 25(1):156-161.
[27]	Kong J, Guo Q, Wei R, et al. Contamination of heavy metals and isotopic tracing of Pb in surface and profile soils in a polluted farmland from a typical karst area in southern China[J]. Science of the Total Environment, 2018,637-638:1035-1045.
[28]	Jin Z J, Li Z Y, Li Q, et al. Canonical correspondence analysis of soil heavy metals pollution, microflora and enzyme activities in the Pb-Zn mine tailing dam collapse area of Sidi village, SW China[J]. Environmental Earth Sciences, 2015,73(1):267-274.
[29]	李强,曹莹,何连生,等.典型冶炼行业场地土壤重金属空间分布特征及来源解析[J]. 环境科学, 2021,42(12):5930-5937. Li Q, Cao Y, He L S, et al. Spatial distribution characteristics and source analysis of soil heavy metals at typical smelting industry sites[J]. Environmental Science, 2021,42(12):5930-5937.
[30]	Jin G, Wei F, Mohammad S, et al. Source apportionment of heavy metals in farmland soil with application of APCS-MLR model:A pilot study for restoration of farmland in Shaoxing City Zhejiang, China[J]. Ecotoxicology and Environmental Safety, 2019,184:109495.
[31]	柴磊,王新,马良,等.基于PMF模型的兰州耕地土壤重金属来源解析[J]. 中国环境科学, 2020,40(9):3919-3929. Chai L, Wang X, Ma L, et al. Sources appointment of heavy metals in cultivated soils of Lanzhou based on PMF models[J]. China Environmental Science, 2020,40(9):3919-3929.
[32]	Lü J, Liu Y. An integrated approach to identify quantitative sources and hazardous areas of heavy metals in soils[J]. Science of the Total Environment, 2019,646:19-28.
[33]	Anaman R, Peng C, Jiang Z, et al. Identifying sources and transport routes of heavy metals in soil with different land uses around a smelting site by GIS based PCA and PMF[J]. Science of the Total Environment, 2022,823:153759.
[34]	王佛鹏,宋波,周浪,等.广西西江流域土壤重金属背景值再研究[J]. 环境科学学报, 2018,38(9):3695-3702. Wang F P, Song B, Zhou L, et al. Redistribution of heavy metal background in soil of Xijiang river basin in Guangxi[J]. Acta Scientiae Circumstantiae, 2018,38(9):3695-3702.
[35]	Pan H, Lu X, Lei K. A comprehensive analysis of heavy metals in urban road dust of Xi'an, China:contamination, source apportionment and spatial distribution[J]. Science of the Total Environment, 2017, 609:1361-1369.
[36]	Han Y, Du P, Cao J, et al. Multivariate analysis of heavy metal contamination in urban dusts of Xi'an, Central China[J]. Science of the Total Environment, 2006,355(1-3):176-186.
[37]	Karim Z, Qureshi B A, Mumtaz M, et al. Heavy metal content in urban soils as an indicator of anthropogenic and natural influences on landscape of Karachi-A multivariate spatio-temporal analysis[J]. Ecological Indicators, 2014,42(SI):20-31.
[38]	孟利,左锐,王金生,等.基于PCA-APCS-MLR的地下水污染源定量解析研究[J]. 中国环境科学, 2017,37(10):3773-3786. Meng L, Zuo R, Wang J S, et al. Quantitative source apportionment of groundwater pollution based on PCA-APCS-MLR[J]. China Environmental Science, 2017,37(10):3773-3786.
[39]	Guo W, Zhang Z, Wang H, et al. Exposure characteristics of antimony and coexisting arsenic from multi-path exposure in typical antimony mine area[J]. Journal of Environmental Management, 2021,289:112493.
[40]	朱晓丽,薛博倩,李雪,等.基于PMF模型的宝鸡铅锌尾矿库周边农田土壤重金属源解析[J]. 西北大学学报(自然科学版), 2021,51(1):43-53. Zhu X L, Xue B Q, Li X, et al. Sources apportionment of heavy metals in farmland soil around lead-zinc tailings reservoir based on PMF model[J]. Journal of Northwest University (Natural Science Edition), 2021,51(1):43-53.