Contamination characteristics and source apportionment of soil heavy metals in Lalin River basin

Li Jiao; Chen Haiyang; TengYanguo; Dong Qingqing

doi:10.11975/j.issn.1002-6819.2016.19.031

Volume 32 Issue 19

Sep. 2016

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Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE) > 2016 > 32(19): 226-233. > DOI: 10.11975/j.issn.1002-6819.2016.19.031

Li Jiao, Chen Haiyang, TengYanguo, Dong Qingqing. Contamination characteristics and source apportionment of soil heavy metals in Lalin River basin[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2016, 32(19): 226-233. DOI: 10.11975/j.issn.1002-6819.2016.19.031

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Contamination characteristics and source apportionment of soil heavy metals in Lalin River basin

College of Water Sciences, Beijing Normal University, Beijing100875, China

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Received Date: March 11, 2016
Revised Date: July 03, 2016
Published Date: September 30, 2016

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Abstract

Abstract: China faces great challenges in protecting its soil from contamination caused by rapid industrialization and urbanization over the last three decades. In order to reduce the risk of heavy metals pollution, it is very essential to study soil heavy metal contamination characteristics and quantify the sources of soil heavy metals. The results of source apportionment can provide the scientific supporting for soil quality management in the specific region. In this study, a total of 173 soil samples at depth 0-20 cm were collected, and concentrations and spatial patterns of soil heavy metals (including cadmium, chromium, arsenic, mercury, lead, copper, zinc, nickel, manganese, cobalt, vanadium and selenium) in Lalin River basin were analyzed, which is one of the most typical agricultural areas in Northeast China. A Geographic Information System (GIS) was used to explore the variety of spatial distributions for 12 heavy metals. Geoaccumulation index and potential ecological risk index were applied to evaluate the degree of soil heavy metal contamination. Positive matrix factorization method was introduced to apportion the sources of soil heavy metals. Results demonstrated that the average concentrations of Cd, Cr, As, Hg, Pb, Cu, Zn, Ni, Mn, Co, V, and Se in soil samples were 0.13, 46.28, 10.12, 0.07, 23.38, 17.09, 54.06, 21.26, 575.4, 14.04, 62.11 and 0.158 mg/kg, respectively. The mean values of Cr, As, Pb, Cu, Zn, Ni, Mn and V did not exceed their respective soil background values, while the mean values for Co and Se were slightly higher than their background values in Lalin River. Concentrations of Cd and Ni in some soil samples were greater than the GradeⅡof the Standard according to the Soil Environmental Quality of China. The geostatistical interpolation results of heavy metal concentrations showed the spatial variations for these heavy metals were significant difference. According to the geoaccumulation index, the soils in Lalin River basin were mainly contaminated by Cd and Hg, with followed by As, with no or moderated contaminated level for the others. The geoaccumulation index values of 45.1% samples for Cd and 37.0% samples for Hg were greater than 0, while their mean values for the potential ecological risk index (RI) were 49.83 and 70.29, respectively. The range of RI was from 29.81 to 659.70, with a mean value of 140.18, indicating high ecological risk. Moreover, the potential ecological risk index on the left bank area was significantly higher than the right bank area of the Lalin River. A three-factor modeling resulting from PMF provided the most satisfactory results of soil heavy metals sources. Industrial activities, the application of pesticides and fertilizers were identified as the main anthropogenic sources for soil heavy metals in this study area, accounting for 29.4% and 32.6% of the total contribution, respectively. The remainder was the natural source, accounting for 38.0% of source contributions. The accumulation of Cd and Se in soils was mostly affected by agricultural activities, while Cr, Cu and Zn were also affected by some extent in this study area. For Hg and As, their content in soils was mainly associated with industrial activities. These suggested that the impact of human activities on soil heavy metals in Lalin River basin has exceeded the impact of natural source. Therefore, the use of pesticides and fertilizers and the “three wastes” emissions from key industrial enterprises in this area should be strictly controlled.
- heavy metals,
- soils,
- pollution,
- geoaccumulation index,
- potential ecological risk index,
- positive matrix factorization,
- Lalin River basin

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References

[1]	雷凌明，喻大松，陈玉鹏，等. 陕西泾惠渠灌区土壤重金属空间分布特征及来源[J]. 农业工程学报，2014，30(6)：88－96.Lei Lingming, Yu Dasong, Chen Yupeng, et al. Spatial distribution and sources of heavy metals in soils of Jinghui Irrigated Area of Shaanxi, China[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2014, 30(6): 88－96. (in Chinese with English abstract)
[2]	邱孟龙，李芳柏，王琦，等. 工业发达城市区域耕地土壤重金属时空变异与来源变化[J]. 农业工程学报，2015，31(2)：298－305.Qiu Menglong, Li Fangbai, Wang Qi, et al. Spatio-temporal variation and source changes of heavy metals in cultivated soils in industrial developed urban areas[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2015, 31(2): 298－305. (in Chinese with English abstract)
[3]	范拴喜，甘卓亭，李美娟，等. 土壤重金属污染评价方法进展[J]. 中国农学通报，2010，26(17)：310－315.Fan Shuangxi,Gan Zhuoting, Li Meijuan, et al. Progress of assessment methods of heavy metal pollution in soil[J]. Chinese Agricultural Science Bulletin, 2010, 26(17): 310－315. (in Chinese with English abstract)
[4]	董騄睿，胡文友，黄标，等. 基于正定矩阵因子分析模型的城郊农田土壤重金属源解析[J]. 中国环境科学，2015，35(7)：2103－2111.Dong Lurui, Hu Wenyou, Huang Biao, et al. Source appointment of heavy metals in suburban farmland soils based on positive matrix factorization[J]. China Environmental Science, 2015, 35(7): 2103－2111. (in Chinese with English abstract)
[5]	Wang Guoqiang, A Yinglan, Jiang Hong, et al. Modeling the source contribution of heavy metals in surficial sediment and analysis of their historical changes in the vertical sediments of a drinking water reservoir[J]. Journal of Hydrology, 2015, 520: 37－51.
[6]	瞿明凯，李卫东，张传荣，等. 基于受体模型和地统计学相结合的土壤镉污染源解析[J]. 中国环境科学，2013，33(5)：854－860.Qu Mingkai, Li Weidong, Zhang Chuanrong, et al. Source apportionment of soil heavy metal Cd based on the combination of receptor model and geostatistics[J]. China Environmental Science, 2013, 33(5): 854－860. (in Chinese with English abstract)
[7]	Xue Jianlong, Zhi Yuyou, Yang Liping, et al. Positive matrix factorization as source apportionment of soil lead and cadmium around a battery plant (Changxing County, China)[J]. Environmental Science Pollution Research, 2014, 21(12): 7698－7707.
[8]	Luo Xiaosan, Xue Yan, Wang Yanling, et al. Source identification and apportionment of heavy metals in urban soil profiles[J]. Chemosphere, 2015, 127: 152－157.
[9]	艾建超，王宁，杨净. 基于UNMIX模型的夹皮沟金矿区土壤重金属源解析[J]. 环境科学，2014，35(9)：3530－3536.Ai Jianchao, Wang Ning, Yang Jing, et al. Source apportionment of soil heavy metals in Jiapigou Goldmine based on the UNMIX model[J]. Environmental Science, 2014, 35(9): 3530－3536. (in Chinese with English abstract)
[10]	Chueinta W, Hope P K, Paatero P. Investigation of sources of atmospheric aerosol at urban and suburban residential areas in Thailand by positive matrix factorization[J]. Atmospheric Environment, 2000, 34(20): 3319－3329.
[11]	Brown S G, Eberly S, Paatero P, et al. Methods for estimating uncertainty in PMF solutions: Examples with ambient air and water quality data and guidance on reporting PMF results[J]. Science of the Total Environment, 2015(518/519): 626－635.
[12]	Chen Haiyang, Teng Yanguo, Li Jiao, et al. Source apportionment of trace metals in river sediments: A comparison of three methods[J]. Environmental Pollution, 2016, 211: 28－37.
[13]	刘伟，何世军，乔倩倩，等. 拉林河流域水质时空变化特征及原因浅析[J]. 中国水利，2016(1)：19－21.Liu Wei, He Shijun, Qiao Qianqian, et al. Features of space-time change of water quality in Lalin River Basin and reasons[J]. China Water Resources, 2016(1): 19－21.(in Chinese with English abstract)
[14]	王中伟，韩帮军，韩雅红，等. 拉林河水环境质量现状与污染源分析研究[J]. 环境科学与管理，2014，39(4)：112－115.Wang Zhongwei, Han Bangjun, HanYahong, et al. Current situation of water environmental quality and pollutant source solution in Lalin river[J]. Environmental Science and Management, 2014, 39(4): 112－115. (in Chinese with English abstract)
[15]	Muller G. Index of geoaccumulation in sediments of the Rhine River[J]. Journal of Geology, 1969, 8(2): 108－118.
[16]	Odewande A A, Abimbola A F. Contamination indices and heavy metal concentrations in soil of Ibadan metropolis, southwestern Nigeria[J]. Environmental Geochemistry Health, 2008, 30(3): 243－254.
[17]	Hakanson L. An ecological risk index aquatic pollution control. a sedimentological approach[J]. Water Research, 1980, 14(8): 975－1001.
[18]	徐争启，倪师军，庹先国，等. 潜在生态危害指数法评价中重金属毒性系数计算[J]. 环境科学与技术，2008，31(2)：112－115.Xu Zhengqi, Ni Shijun, Tuo Xianguo, et al. Calculation of heavy metals' toxicity coefficient in theevaluation of potential ecological risk index[J]. Environmental Science and Technology, 2008, 31(2): 112－115. (in Chinese with English abstract)
[19]	Yi Yujun, Yang Zhifeng, Zhang Shanghong. Ecological risk assessment of heavy metals in sediment and human health risk assessment of heavy metals in fishes in the middle and lower reaches of the Yangtze River basin[J]. Environmental Pollution, 2011, 159(10): 2575－2585.
[20]	Paatero P, Tapper U. Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values[J]. Environmetrics, 1994, 5(2): 111－126.
[21]	Reff R, Eberly S I, Bave P V. Receptor modeling of ambient particulate matter data using positive matrix factorization: review of existing methods[J]. Journal of the Air and Waster Management Association, 2007, 57(2): 146－154.
[22]	GB 15618-1995，土壤环境质量标准[S].
[23]	Teng Yanguo, Li Jiao, Wu Jin, et al. Environmental distribution and associated human health risk due to trace elements and organic compounds in soil in Jiangxi province, China[J]. Ecotoxicology and Environmental Safety, 2015, 122: 406－416.
[24]	中国环境监测总站，中国土壤环境背景值[M]. 北京：中国环境科学出版社，1990.
[25]	Loska K, Wiechula D, Korus I. Metal contamination of farming soils affected by industry[J]. Environment International, 2004, 30(2): 159－165.
[26]	Chen Haiyang, Teng Yanguo, Lu Sijin, et al. Source apportionment and health risk assessment of trace metals in surface soils of Beijing metropolitan, China[J]. Chemosphere, 2016, 144: 1002－1011.
[27]	Luo L, Ma Y B, Zhang S Z, et al. An inventory of trace element inputs to agricultural soils in China[J]. Journal of Environmental Management, 2009, 90(8): 2524－2530.
[28]	Zhang Changbo, Wu Longhua, Luo Yongming, et al. 2008. Identifying sources of soil inorganic pollutants on a regional scale using a multivariate statistical approach: Role of pollutant migration and soil physicochemical properties[J]. Environmental Pollution, 2008, 151(3): 470－476.
[29]	Wang Mingshi, Zheng Baoshan, Wang Binbin, et al. Arsenic concentrations in Chinese coals[J]. Science of the Total Environment, 2006, 357(1/2/3): 96－102.
[30]	冯玉春. 五常流域拉林河水环境现状、变化趋势及防治对策[J]. 黑龙江环境通报，2010，34(2)：40－41.Feng Yuchun. Environmental condition, changing trend and control measures of Lalin river Wuchang section[J]. Heilongjiang Environmental Journal, 2010, 34(2): 40－41. (in Chinese with English abstract)
[31]	环境保护部自然生态保护司. 土壤污染与人体健康[M]. 北京：中国环境出版社，2013.
[32]	戴慧敏，宫传东，董北，等. 东北平原土壤硒分布特征及影响因素[J]. 土壤学报，2015，52(6)：1356－1364.Dai Huimin, Dong Chuandong, Dong Bei, et al. Distribution of soil selenium in the northeast China plain and its influencing factors[J]. Acta Pedologica Sinica, 2015, 52(6): 1356－1364. (in Chinese with English abstract)
[33]	迟凤琴，徐强，匡恩俊，等. 黑龙江省土壤硒分布及其影响因素研究[J]. 土壤学报，2016，(5).Chi Fengqin, Xu Qiang, Kuang Enjun, et al. Distribution of selenium and its influencing factors in soils of Heilongjiang[J]. Acta Pedologica Sinica, 2016, (5). (in Chinese with English abstract)
[34]	黄玉溢，陈桂芬，刘斌，等. 畜禽粪便中重金属含量、形态及转化的研究进展[J]. 广西农业科学，2010，41(8)：807－809.Huang Yuyi, Chen Guifen, Liu Bin, et al. Research progress on contents, speciation and transformation of heavy metals in livestock and poultry manures[J]. Guangxi Agricultural Sciences, 2010, 41(8): 807－809.（in Chinese with English abstract）
[35]	闫秋良，刘福柱. 通过营养调控缓解畜禽生产对环境的污染[J]. 家禽生态学报，2002，23(3)：68－70.Yan Qiuliang, Liu Fuzhu. Reduction environmental pollution of animal production by adjustment of Nutrition[J]. Ecology of Domestic Animal, 2002, 23(3): 68－70. (in Chinese with English abstract)