Abstract
Heavy metals (HMs) in farmland soils lead to adverse influences on ecosystem and human health. Despite that, data on quantitative risk from different sources are still scarce. In this study, 100 farmland soil samples in Jiuyuan District were collected and analyzed for selected HMs (As, Cd, Co, Cr, Cu, Mn, Ni, Pb, V and Zn) content characteristics and pollution statuses. The positive matrix factorization (PMF) model combined with the Nemerow integrated risk index (NIRI) and human health risk assessment (HHRA) was used to quantitatively identify the primary risk sources. The results indicated that the mean contents or median values (mg/kg) of 10 HMs were all higher than the background values. The contamination factor (CF) and pollution load index (PLI) revealed that the soil was severely polluted. Based on PMF, the main source of HM pollution was anthropogenic activities, accounting for 78.91%. Sewage irrigation represented the biggest input but was not associated with the highest risk. The results of PMF-based NIRI and PMF-based HHRA showed that the chemical fertilizers and pesticides were the largest and priority risk sources with contribution rates of 38.10% to ecological risk and 34.61 and 32.82% to non-carcinogenic and carcinogenic risk, respectively. In addition, non-carcinogenic risk of children was higher than that of adults, while the carcinogenic risk was the opposite. The integrated approaches were beneficial for priority risk quantification from different sources and can provide direct risk information and effective policy recommendations for management and control of key risk sources.
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References
Akoto, O., Bismark Eshun, F., Darko, G., & Adei, E. (2014). Contents and health risk assessments of heavy metals in fish from the Fosu Lagoon. International Journal of Environmental Research, 8, 403–410. https://doi.org/10.22059/IJER.2014.731
Cai, L. M., Xu, Z. C., Bao, P., He, M., Dou, L., Chen, L. G., et al. (2015). Multivariate and geostatistical analyses of the spatial distribution and source of arsenic and heavy metals in the agricultural soils in Shunde, Southeast China. Journal of Geochemical Exploration, 148, 189–195. https://doi.org/10.1016/j.gexplo.2014.09.010
CNEMC (The Chinese Environmental Monitoring Centre), National Environmental Protection Agency. (1990). The background values of soil elements in China. Beijing: China environmental science Press, (in Chinese). http://ir.imde.ac.cn/handle/131551/6392. Accessed 22 September 2020.
Dai, J., Si, W. T., Zhao, X. B., Liu, J. M., Jing, X. M., Wang, J. Y., et al. (2017). Effect of combined pollution of rare earth tailings pond on soil fertility. Jiangsu Agricultural Science, 45, 299–303. https://doi.org/10.15889/j.issn.1002-1302.2017.20.074
Environmental Protection Agency. (1989). Office of emergency and remedial response. Risk assessment guidance for superfund volume I human health evaluation. U.S. Environmental Protection Agency, Washington. https://www.osti.gov/biblio/5449198
Egorova, K. S., & Ananikov, V. P. (2017). Toxicity of metal compounds: Knowledge and myths. Organometallics, 36, 4071–4090. https://doi.org/10.1021/acs.organomet.7b00605
Gan, Y. D., Miao, Y. J., Wang, L. H., Yang, G. Q., Li, Y. C. C., Wang, W. X., et al. (2018). Source contribution analysis and collaborative assessment of heavy metals in vegetable-growing soils. Journal of Agricultural and Food Chemistry, 66, 10943–10951. https://doi.org/10.1021/acs.jafc.8b04032
Gaurav, V. K., & Sharma, C. (2019). Estimating health risks in metal contaminated land for sustainable agriculture in peri-urban industrial areas using Monte Carlo probabilistic approach. Sustainable Computing: Informatics and Systems, 310, 1–6. https://doi.org/10.1016/j.suscom.2019.01.012
Giri, S., & Singh, A. K. (2017). Ecological and human health risk assessment of agricultural soils based on heavy metals in mining areas of Singhbhum copper belt, India. Human and Ecological Risk Assessment, 23, 1008–1027. https://doi.org/10.1080/10807039.2017.1295224
Guan, Q., Wang, F., Xu, C., Pan, N., Lin, J., Zhao, R., et al. (2018). Source apportionment of heavy metals in agricultural soil based on PMF: A case study in Hexi corridor, Northwest China. Chemosphere, 193, 189–197. https://doi.org/10.1016/j.chemosphere.2017.10.151
Han, X. D., Li, H. J., Su, M. X., & An, P. L. (2018). Spatial network analysis of surface soil pollution from heavy metals and some other elements: A case study of the Baotou region of China. Journal of Soils and Sediments, 19, 629–640. https://doi.org/10.1007/s11368-018-2057-5
Hakanson, L. (1980). An ecological risk index for aquatic pollution control: A sedimentological approach. Water Research, 14, 975–1001. https://doi.org/10.1016/0043-1354(80)90143-8
Hu, Y. N., He, K. L., Sun, Z. H., Chen, G., & Cheng, H. F. (2020). Quantitative source apportionment of heavy metal(loid)s in the agricultural soils of an industrializing region and associated model uncertainty. Journal of Hazardous Materials. https://doi.org/10.1016/j.jhazmat.2020.122244
Huang, Z., Qu, S. H., Bai, L., Shang, S. P., Li, Y. M., & Zhang, L. K. (2017). Spatial distribution characteristics and pollution assessment of heavy metal soils in urban areas of Baotou. Environmental Engineering, 35, 149–153. https://doi.org/10.13205/j.hjgc.201705032
Huang, Y., Deng, M. H., Wu, S. F., Japenga, J., Li, T. Q., Yang, X. E., et al. (2018). A modified receptor model for source apportionment of heavy metal pollution in soil. Journal of Hazardous Materials, 354, 161–169. https://doi.org/10.1016/j.jhazmat.2018.05.006
Jiang, Y. X., Chao, S. H., Liu, J. W., Yang, Y., Chen, Y. J., Zhang, A. C., et al. (2017). Source apportionment and health risk assessment of heavy metals in soil for a township in Jiangsu Province, China. Chemosphere, 168, 1658–1668. https://doi.org/10.1016/j.chemosphere.2016.11.088
Jiang, H. H., Cai, L. M., Wen, H. H., Hu, G. C., Chen, L. G., & Luo, J. (2020). An integrated approach to quantifying ecological and human health risks from different sources of soil heavy metals. Science of the Total Environment. https://doi.org/10.1016/j.scitotenv.2019.134466
Khan, M. U., Malik, R. N., Muhammad, S., Ullah, F., & Qadir, A. (2015). Health risk assessment of consumption of heavy metals in market food crops from Sialkot and Gujranwala districts, Pakistan. Human and Ecological Risk Assessment, 21, 327–337. https://doi.org/10.1080/10807039.2014.913445
Kolo, M. T., Khandaker, M. U., Amin, Y. M., Abdullah, W. H. B., Bradley, D. A., & Alzimami, K. S. (2018). Assessment of health risk due to the exposure of heavy metals in soil around mega coal-fired cement factory in Nigeria. Results in Physics, 11, 755–762. https://doi.org/10.1016/j.rinp.2018.10.003
Li, Z. Y., Ma, Z. W., Yuan, Z. W., Kuijp, T. J. V. D., & Huang, L. (2014). A review of soil heavy metal pollution from mines in China: Pollution and health risk assessment. Science of the Total Environment, 468–469, 843–853. https://doi.org/10.1016/j.scitotenv.2013.08.090
Liao, J. B., Chen, J., Ru, X., Chen, J. D., Wu, H. Z., & Wei, C. H. (2017). Heavy metals in river surface sediments affected with multiple pollution sources, South China: Distribution, enrichment and source apportionment. Journal of Geochemical Exploration, 176, 9–19. https://doi.org/10.1016/j.gexplo.2016.08.013
Liu, J., Liu, Y. J., Liu, Y., Liu, Z., & Zhang, A. N. (2018). Quantitative contributions of the major sources of heavy metals in soils to ecosystem and human health risks: A case study of Yulin, China. Ecotoxicology and Environmental Safety, 164, 261–269. https://doi.org/10.1016/j.ecoenv.2018.08.030
Luque-Espinar, J. A., Pardo-Igúzquiza, E., Grima-Olmedo, J., & Grima-Olmedo, C. (2018). Multiscale analysis of the spatial variability of heavy metals and organic matter in soils and groundwater across Spain. Journal of Hydrology, 561, 348–371. https://doi.org/10.1016/j.jhydrol.2018.04.013
Lu, A. X., Wang, J. H., Qin, X. Y., Wang, K. Y., Han, P., & Zhang, S. Z. (2012). Multivariate and geostatistical analyses of the spatial distribution and origin of heavy metals in the agricultural soils in Shunyi, Beijing, China. Science of the Total Environment, 425, 66–74. https://doi.org/10.1016/j.scitotenv.2012.03.003
Mahbub, K. R., Krishnan, K., Naidu, R., & Megharaj, M. (2017). Mercury toxicity to Eisenia fetida in three different soils. Environmental Science and Pollution Research, 24, 1261–1269. https://doi.org/10.1007/s11356-016-7869-5
Mamut, A., Eziz, M., Mohammad, A., & Anayit, M. (2017). The spatial distribution, contamination, and ecological risk assessment of heavy metals of farmland soils in Karashahar-Baghrash oasis, northwest China. Human Ecological Risk Assessment, 23, 1300–1314. https://doi.org/10.1080/10807039.2017.1305263
Men, C., Liu, R. M., Xu, L. B., Wang, Q. R., Guo, L. J., Miao, Y. X., et al. (2019). Source-specific ecological risk analysis and critical source identification of heavy metals in road dust in Beijing, China. Journal of Hazardous Materials. https://doi.org/10.1016/j.jhazmat.2019.121763
Mikkonen, H. G., Dasika, R., Drake, J. A., Wallis, C. J., Clarke, B. O., & Reichman, S. M. (2018). Evaluation of environmental and anthropogenic influences on ambient background metal and metalloid concentrations in soil. Science of the Total Environment, 624, 599–610. https://doi.org/10.1016/j.scitotenv.2017.12.131
Osman, K. T. (2014). Chapter 1: soil resources and soil degradation. In K. T. Osman (Ed.), Soil degradation, conservation and remediation (pp. 1–10). Springer.
Paatero, P., & Tapper, U. (1993). Analysis of different modes of factor analysis as least squares fit problems. Chemometrics and Intelligent Laboratory Systems, 18, 183–194. https://doi.org/10.1016/0169-7439(93)80055-M
Pourret, O., & Bollinger, J. C. (2018). Heavy metal—What to do now: to use or not to use? Science of the Total Environment, 610–611, 419–420. https://doi.org/10.1016/j.scitotenv.2017.08.043
Rafique, N., & Tariq, S. R. (2016). Distribution and source apportionment studies of heavy metals in soil of cotton/wheat fields. Environmental Monitoring and Assessment. https://doi.org/10.1007/s10661-016-5309-0
SETAC (Society of Environmental Toxicology and Chemistry). (2018). Technical issue paper: Environmental risk assessment of chemicals. Pensacola (FL): SETAC. https://cdn.ymaws.com/www.setac.org/resource/resmgr/publications_and_resources/setac_tip_era.pdf. Accessed 22 September 2020.
Si, W. T., Liu, J. M., Cai, L., Jiang, H. M., Zheng, C. L., He, X. Y., et al. (2015). Health risks of metals in contaminated farmland soils and spring wheat irrigated with Yellow River water in Baotou, China. Bulletin of Environmental Contamination and Toxicology, 94, 214–219. https://doi.org/10.1007/s00128-014-1435-y
Silva, S. D., Ball, A. S., Huynh, T., & Reichman, S. M. (2016). Metal accumulation in roadside soil in Melbourne, Australia: Effect of road age, traffic density and vehicular speed. Environmental Pollution, 208, 102–109. https://doi.org/10.1016/j.envpol.2015.09.032
Tan, S. Y., Praveena, S. M., Abidin, E. Z., & Cheema, M. S. (2016). A review of heavy metals in indoor dust and its human health-risk implications. Reviews on Environmental Health, 31, 447–456. https://doi.org/10.1515/reveh-2016-0026
Tian, J. J., Huang, C., Zhao, X. G., Ren, J., Zhao, J. F., Lin, K. F., et al. (2019). Pollution and health risk assessment of heavy metals in the inhalable particulate matter in the typical areas, Shanghai. Acta Scientiae Circumstantiae, 39, 3924–3931. https://doi.org/10.13671/j.hjkxxb.2019.0145
Tóth, G., Hermann, T., Da, S. M., & Montanarella, L. (2016). Heavy metals in agricultural soils of the European Union with implications for food safety. Environment International, 88, 299–309. https://doi.org/10.1016/j.envint.2015.12.017
Wang, B., Xia, D. S., Yu, Y., Chen, H., & Jia, J. (2018). Source apportionment of soil-contamination in Baotou City (North China) based on a combined magnetic and geochemical approach. Science of the Total Environment, 642, 95–104. https://doi.org/10.1016/j.scitotenv.2018.06.050
Wang, F. F., Guan, Q. Y., Tian, J., Lin, J. K., Yang, Y. Y., Yang, L. Q., et al. (2020). Contamination characteristics, source apportionment, and health risk assessment of heavy metals in agricultural soil in the Hexi Corridor. CATENA. https://doi.org/10.1016/j.catena.2020.104573
Wei, X., Gao, B., Wang, P., Zhou, H. D., & Lu, J. (2015). Pollution characteristics and health risk assessment of heavy metals in street dusts from different functional areas in Beijing, China. Ecotoxicology Environmental Safety, 112, 186–192. https://doi.org/10.1016/j.ecoenv.2014.11.005
Wu, J., Li, J., Teng, Y. G., Chen, H. Y., & Wang, Y. Y. (2019). A partition computing-based positive matrix factorization (PC-PMF) approach for the source apportionment of agricultural soil heavy metal contents and associated health risks. Journal of Hazardous Materials. https://doi.org/10.1016/j.jhazmat.2019.121766
Zhang, L. K., Li, H. P., Huang, X. M., Li, Y. M., Jiao, K. L., Sun, P., et al. (2016). Soil heavy metal spatial distribution and source analysis around an aluminum plant in baotou. Environmental Science, 37, 1139–1146. https://doi.org/10.13227/j.hjkx.2016.03.045
Zhang, Q., Wang, S. L., Nan, Z. R., Li, Y. P., & Zang, F. (2018a). Accumulation, fractionation, and risk assessment of mercury and arsenic in the soil-wheat system from the wastewater-irrigated soil in Baiyin, Northwest China. Environmental Science and Pollution Research, 25, 14856–14867. https://doi.org/10.1007/s11356-018-1641-y
Zhang, X. W., Wei, S., Sun, Q. Q., Wadood, S. A., & Guo, B. L. (2018b). Source identification and spatial distribution of arsenic and heavy metals in agricultural soil around Hunan industrial estate by positive matrix factorization model, principle components analysis and geo statistical analysis. Ecotoxicology and Environmental Safety, 159, 354–362. https://doi.org/10.1016/j.ecoenv.2018.04.072
Zhou, J. M., & Shen, R. F. (2013). Dictionary of soil science. Science Press.
Zhou, J., Feng, K., Li, Y. J., & Zhou, Y. (2016). Factorial kriging analysis and sources of heavy metals in soils of different land-use types in the Yangtze River Delta of Eastern China. Environmental Science and Pollution Research, 23, 14957–14967. https://doi.org/10.1007/s11356-016-6619-z
Acknowledgements
The authors would like to thank the National Natural Science Foundation of China (21177163), the Fundamental Research Funds for the Central Universities (2020MDJC18), the Fundamental Research Funds for the Central Universities (2021QNPY82) and Undergraduate Scientific Research and Training Program of Minzu University of China (BEIJ2019110038).
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HZ performed the data analyses and wrote the manuscript; MZ contributed to methodology; HZ, YW, JT, SC and YW performed the experiment and investigation; YL helped perform supervision and writing—review/editing.
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Zhang, H., Zhang, M., Wu, Y. et al. Risk sources quantitative appointment of ecological environment and human health in farmland soils: a case study on Jiuyuan District in China. Environ Geochem Health 43, 4789–4803 (2021). https://doi.org/10.1007/s10653-021-00964-5
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DOI: https://doi.org/10.1007/s10653-021-00964-5