Abstract
This study aimed to investigate the pollution characteristics, source apportionment, and health risks associated with trace metal(loid)s (TMs) in the major agricultural producing areas in Chongqing, China. We analyzed the source apportionment and assessed the health risk of TMs in agricultural soils by using positive matrix factorization (PMF) model and health risk assessment (HRA) model based on Monte Carlo simulation. Meanwhile, we combined PMF and HRA models to explore the health risks of TMs in agricultural soils by different pollution sources to determine the priority control factors. Results showed that the average contents of cadmium (Cd), arsenic (As), lead (Pb), chromium (Cr), copper (Cu), nickel (Ni), and zinc (Zn) in the soil were found to be 0.26, 5.93, 27.14, 61.32, 23.81, 32.45, and 78.65 mg/kg, respectively. Spatial analysis and source apportionment analysis revealed that urban and industrial sources, agricultural sources, and natural sources accounted for 33.0%, 27.7%, and 39.3% of TM accumulation in the soil, respectively. In the HRA model based on Monte Carlo simulation, non-carcinogenic risks were deemed negligible (hazard index <1), the carcinogenic risks were at acceptable level (10−6 <total carcinogenic risk ≤ 10−4), with higher risks observed for children compared to adults. The relationship between TMs, their sources, and health risks indicated that urban and industrial sources were primarily associated with As, contributing to 75.1% of carcinogenic risks and 55.7% of non-carcinogenic risks, making them the primary control factors. Meanwhile, agricultural sources were primarily linked to Cd and Pb, contributing to 13.1% of carcinogenic risks and 21.8% of non-carcinogenic risks, designating them as secondary control factors.
Similar content being viewed by others
Availability of Data/Materials: Because of the sensitivity of the data, the datasets generated and analyzed during the current study are not publicly available but are available from the corresponding author on reasonable request.
References
Al-Swadi HA, Usman ARA, Al-Farraj AS, et al. (2022) Sources, toxicity potential, and human health risk assessment of heavy metals-laden soil and dust of urban and suburban areas as affected by industrial and mining activities. Sci Rep 12(1): 8972. https://doi.org/10.1038/s41598-022-12345-8
Alexakis DE, Bathrellos GD, Skilodimou HD, et al. (2021) Spatial distribution and evaluation of arsenic and zinc content in the soil of a Karst landscape. Sustainability 13(12): 6976. https://doi.org/10.3390/su13126976
Alexakis DE (2020) Suburban areas in flames: Dispersion of potentially toxic elements from burned vegetation and buildings. Estimation of the associated ecological and human health risk. Environ Res 183: 109153. https://doi.org/10.1016/j.envres.2020.109153
Assan S, Vogel FR, Gros V, et al. (2018) Can we separate industrial CH4 emission sources from atmospheric observations? - A test case for carbon isotopes, PMF and enhanced APCA. Atmos Environ 187: 317–327. https://doi.org/10.1016/j.atmosenv.2018.05.004
Atafar Z, Mesdaghinia A, Nouri J, et al. (2010) Effect of fertilizer application on soil heavy metal concentration. Environ Monit Assess 160(1–4): 83–89. https://doi.org/10.1007/s10661-008-0659-x
Bazel J, Ghalehaskar S, Morovati M, et al. (2022) Health risk assessment techniques to evaluate non-carcinogenic human health risk due to fluoride, nitrite and nitrate using Monte Carlo simulation and sensitivity analysis in groundwater of Khaf County, Iran. Int J Environ Ann Chim 102(8): 1793–1813. https://doi.org/10.1080/03067319.2020.1743280
Beesley L, Moreno-Jiménez E, Gomez-Eyles JL (2010) Effects of biochar and greenwaste compost amendments on mobility, bioavailability and toxicity of inorganic and organic contaminants in a multi-element polluted soil. Environ Pollut 158(6): 2282–2287.https://doi.org/10.1016/j.envpol.2010.02.003
Chen H, Wang L, Hu B, et al. (2022b) Potential driving forces and probabilistic health risks of heavy metal accumulation in the soils from an e-waste area, southeast China. Chemosphere 289: 133182.https://doi.org/10.1016/j.chemosphere.2021.133182
Chen HY, Teng YG, Lu SJ, et al. (2015) Contamination features and health risk of soil heavy metals in China. Sci Total Environ 512–513: 143–153. https://doi.org/10.1016/j.scitotenv.2015.01.025
Chen ZF, Ding YF, Jiang XY, et al. (2022a) Combination of UNMIX, PMF model and Pb-Zn-Cu isotopic compositions for quantitative source apportionment of heavy metals in suburban agricultural soils. Ecotoxicol Environ Saf 234: 113369.https://doi.org/10.1016/j.ecoenv.2022.113369
Cheraghi M, Lorestani B, Merrikhpour H (2012) Investigation of the effects of phosphate fertilizer application on the heavy metal content in agricultural soils with different cultivation patterns. Biol Trace Elem Res 145(1): 87–92. https://doi.org/10.1007/s12011-011-9161-3
CMPG (Chongqing Municipal People’s Government) (2021) 14th five-year plan for protection and utilization of natural resources in Chongqing (2021–2025). (In Chinese) https://www.cq.gov.cn/zwgk/zfxxgkml/szfwj/xzgfxwj/szf/202201/t20220124_10360585.html
CNEMC (China National Environmental Monitoring Centre) (2016) The soil environmental monitoring operation instructions. (In Chinese)
Cogliano VJ, Baan R, Straif K, et al. (2011) Preventable exposures associated with human cancers. J Natl Cancer Inst 103(24): 1827–1839. https://doi.org/10.1093/jnci/djr483
Crnković D, Ristić M, Antonović D (2006) Distribution of heavy metals and arsenic in soils of Belgrade (Serbia and Montenegro). Soil Sediment Contam 15(6): 581–589. https://doi.org/10.1080/15320380600959073
Da Silva EB, Gao P, Xu M, et al. (2020) Background concentrations of trace metals As, Ba, Cd, Co, Cu, Ni, Pb, Se, and Zn in 214 Florida urban soils: Different cities and land uses. Environ Pollut 264: 114737. https://doi.org/10.1016/j.envpol.2020.114737
Deng W, Wang F, Liu W (2023) Identification of factors controlling heavy metals/metalloid distribution in agricultural soils using multi-source data. Ecotoxicol Environ Saf 253: 114689.https://doi.org/10.1016/j.ecoenv.2023.114689
Dong F, Pan Y, Li Y, et al. (2021) How public and government matter in industrial pollution mitigation performance: Evidence from China. J Clean Prod 306: 127099. https://doi.org/10.1016/j.jclepro.2021.127099
Ghane ET, Poormohammadi A, Khazaei S, et al. (2022) Concentration of potentially toxic elements in vegetable oils and health risk assessment: A systematic review and meta-analysis. Biol Trace Elem Res 200(1): 437–446. https://doi.org/10.1007/s12011-021-02645-x
Fei XF, Lou ZH, Xiao R, et al. (2020) Contamination assessment and source apportionment of heavy metals in agricultural soil through the synthesis of PMF and GeogDetector models. Sci Total Environ 747: 141293. https://doi.org/10.1016/j.scitotenv.2020.141293
GAQSIQ (General Administration of Quality Supervision Inspection and Quarantine) (2008) Soil quality-analysis of total mercury, arsenic and lead contents in soils-Atomic fluorescence spectrometryPart 1: Analysis of total mercury contents in soils. (In Chinese)
Guan QY, Wang FF, Xu CQ, 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 SS, Wang Y (2001) Chongqing. Cities 18(2): 115–125. https://doi.org/10.1016/S0264-2751(01)00002-6
Hopke PK, 1991. An introduction to receptor modeling. Chemom Intell Lab Syst 10(1–2): 21–43. https://doi.org/10.1016/0169-7439(91)80032-L
Huang J, Wu Y, Sun J, et al. (2021) Health risk assessment of heavy metal(loid)s in park soils of the largest megacity in China by using Monte Carlo simulation coupled with positive matrix factorization model. J Hazard Mater 415: 125629. https://doi.org/10.1016/j.jhazmat.2021.125629
Huang RJ, Cheng R, Jing M, et al. (2018) Source-specific health risk analysis on particulate trace elements: Coal combustion and traffic emission as major contributors in wintertime Beijing. Environ Sci Technol 52(19): 10967–10974. https://doi.org/10.1021/acs.est.8b02091
Jareonkitpoolpol A, Ongkunaruk P, Janssens GK (2018) Determination of the optimal blending problem of organic-chemical fertilizer under uncertainty. Soil Use Manage 34(4): 449–460.https://doi.org/10.1111/sum.12449
Jiang Y, Chao S, Liu J, 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
Jin H, Zhihong P, Jiaqing Z, et al. (2023) Source apportionment and quantitative risk assessment of heavy metals at an abandoned zinc smelting site based on GIS and PMF models. J Environ Manage 336: 117565. https://doi.org/10.1016/j.jenvman.2023.117565
Karami MA, Fakhri Y, Rezania S, et al. (2019) Non-carcinogenic health risk assessment due to fluoride exposure from tea consumption in Iran using Monte Carlo simulation. Int J Environ Res Public Health 16(21): 4261. https://doi.org/10.3390/ijerph16214261
Karczewska A, Bogda A, Krysiak A (2007) Arsenic in soils in the areas of former mining and mineral processing in Lower Silesia, southwestern Poland. Trace Met Contam Environ 9: 411–440. https://doi.org/10.1016/S1875-1121(06)09016-X
Kharazi A, Leili M, Khazaei M, et al. (2021) Human health risk assessment of heavy metals in agricultural soil and food crops in Hamadan, Iran. J Food Compos Anal 100: 103890. https://doi.org/10.1016/j.jfca.2021.103890
Li KJ, Gu YS, Li MZ, et al. (2018) Spatial analysis, source identification and risk assessment of heavy metals in a coal mining area in Henan, Central China. Int Biodeterior Biodegrad 128: 148–154.https://doi.org/10.1016/j.ibiod.2017.03.026
Li L, Li J, Zhong S, et al. (2022) Suitability evaluation of suitable-for-mechanization transformation of cultivated land based on topographic complexity in Chongqing, China. Chin J Eco-Agriculture 30(2): 302–313. (In Chinese).
Li XN, Jiao WT, Xiao RB, et al. (2015) Soil pollution and site remediation policies in China: A review. Environ Rev 23(3): 263–274.https://doi.org/10.1139/er-2014-0073
Li Z, Ma Z, van der Kuijp TJ, et al. (2014) A review of soil heavy metal pollution from mines in China: Pollution and health risk assessment. Sci Total Environ 468–469: 843–853. https://doi.org/10.1016/j.scitotenv.2013.08.090
Liu C, Wang C, Li Y, et al. (2022) Spatiotemporal differentiation and geographic detection mechanism of ecological security in Chongqing, China. Glob Ecol Conserv 35: e02072. https://doi.org/10.1016/j.gecco.2022.e02072
Liu DL, Shi QH, Liu CQ, et al. (2023) Effects of endocrine-disrupting heavy metals on human health. Toxics 11(4): 322. https://doi.org/10.3390/toxics11040322
Liu J, Liang J, Yuan X, et al. (2015) An integrated model for assessing heavy metal exposure risk to migratory birds in wetland ecosystem: A case study in Dongting Lake wetland, China. Chemosphere 135: 14–19. https://doi.org/10.1016/j.chemosphere.2015.03.053
Liu J, Zhang A, Chen Y, et al. (2021) Bioaccessibility, source impact and probabilistic health risk of the toxic metals in PM2.5 based on lung fluids test and Monte Carlo simulations. J Clean Prod 283: 124667. https://doi.org/10.1016/j.jclepro.2020.124667
Liu P, Wu QM, Hu WY, et al. (2023) Effects of atmospheric deposition on heavy metals accumulation in agricultural soils: Evidence from field monitoring and Pb isotope analysis. Environ Pollut 330: 121740. https://doi.org/10.1016/j.envpol.2023.121740
Liu X, Song Q, Tang Y, et al. (2013) Human health risk assessment of heavy metals in soil-vegetable system: A multimedium analysis. Sci Total Environ 463–464: 530–540. https://doi.org/10.1016/j.scitotenv.2013.06.064
Liu H, Anwar S, Fang L, et al. (2022a) Source apportionment of agricultural soil heavy metals based on PMF model and multivariate statistical analysis. Environ Forensics 23: 1–9. https://doi.org/10.1080/15275922.2022.2047838
Liu XY, Jing M, Bai ZK (2022) Heavy metal concentrations of soil, rock, and coal gangue in the geological profile of a large openpit coal mine in China. Sustainability 14(2): 1020.
Luilo GB, Othman OC, Mrutu A. (2014) Arsenic: A toxic trace element of public health concern in urban roadside soils in Dar es Salaam City. J Mater Environ Sci 5(6): 1742–1749. https://doi.org/10.3390/su14021020
Ma J, Shen ZJ, Wang SL, et al. (2023a) Source apportionment of heavy metals in soils around a coal gangue heap with the APCS-MLR and PMF receptor models in Chongqing, southwest China. J Mt Sci 20(4): 1061–1073. https://doi.org/10.1007/s11629-022-7819-2
Ma J, Ge M, Wang S, et al. (2023b) Health risk assessment and priority control factors analysis of heavy metals in agricultural soils based on source-oriented. Environ Sci. (In Chinese). https://doi.org/10.13227/j.hjkx.202303103
Ma J, She Z, Wang S, et al. (2022) Health risk assessment of heavy metals in agricultural soils around the gangue heap of coal mine based on Monte Carlo simulation. Environ Sci. (In Chinese). https://doi.org/10.13227/j.hjkx.202211064
Mao C, Song Y, Chen L, et al. (2019) Human health risks of heavy metals in paddy rice based on transfer characteristics of heavy metals from soil to rice. Catena 175: 339–348. https://doi.org/10.1016/j.catena.2018.12.029
Varol M, Gündüz K, Sünbül MR (2021) Pollution status, potential sources and health risk assessment of arsenic and trace metals in agricultural soils: A case study in Malatya Province. Turkey Environ Res 202: 111806. https://doi.org/10.1016/j.envres.2021.111806
MEE (Ministry of Ecology and Environment of the People’s Republic of China) (2015) Soil and sediment-Determination of inorganic element-Wavelength dispersive X-ray fluorescence spectrometry. (In Chinese)
Mitra S, Chakraborty AJ, Tareq AM, et al. (2022) Impact of heavy metals on the environment and human health: Novel therapeutic insights to counter the toxicity. J King Saud Univ Sci 34(3): 101865.https://doi.org/10.1016/j.jksus.2022.101865
Nishijo M, Nakagawa H, Suwazono Y, et al. (2017) Causes of death in patients with itai-itai disease suffering from severe chronic cadmium poisoning: A nested case-control analysis of a follow-up study in Japan. BMJ Open 7(7): e015694. https://doi.org/10.1136/bmjopen-2016-015694
Ogundele DT, Adio AA, Oludele OE (2015) Heavy metal concentrations in plants and soil along heavy traffic roads in north central Nigeria. J Environ Anal Toxicol 5(6): 334. https://doi.org/10.4172/2161-0525.1000334
Paatero P, Tapper U (1994) Positive matrix factorization: A nonnegative factor model with optimal utilization of error estimates of data values. Environmetrics 5(2): 111–126. https://doi.org/10.1002/env.3170050203
Palma-Lara I, Martínez-Castillo M, Quintana-Pérez JC, et al. (2020) Arsenic exposure: A public health problem leading to several cancers. Regul Toxicol Pharmacol 110: 104539. https://doi.org/10.1016/j.yrtph.2019.104539
Qaswar M, Yiren L, Jing H, et al. (2020) Soil nutrients and heavy metal availability under long-term combined application of swine manure and synthetic fertilizers in acidic paddy soil. J Soils Sediments 20(4): 2093–2106. https://doi.org/10.1007/s11368-020-02576-5
Qin G, Niu Z, Yu J, et al. (2021) Soil heavy metal pollution and food safety in China: Effects, sources and removing technology. Chemosphere 267: 129205. https://doi.org/10.1016/j.chemosphere.2020.129205
Qureshi Y (2021) Impact of heavy metals consumption on human health: A literature review. J Pharm Res Int 33(45A): 412–421.
Ratnaike RN (2003) Acute and chronic arsenic toxicity. Postgrad Med J 79(933): 391–396. https://doi.org/10.1136/pmj.79.933.391
Sana C, Samia B, Abdelhay E, et al. (2019) Impact of irrigation with wastewater on accumulation of heavy metals in soil and crops in the region of Marrakech in Morocco. J Saudi Soc Agric Sci 18(4): 429–436.https://doi.org/10.1016/j.jssas.2018.02.003
SEPA (State environmental protection administration) (1997) Soil quality-Determination of lead, cadmium Graphite furnace atomic absorption spectrophotometry. (In Chinese)
Serpil S (2012a) Investigation of effect of chemical fertilizers on environment. APCBEE Procedia 1: 287–292. https://doi.org/10.1016/j.apcbee.2012.03.047
Serpil S (2012b) An agricultural pollutant: Chemical fertilizer. Int J Environ Sci de 3(1): 77–80.
Shi B, Meng J, Wang TY, et al. (2024) The main strategies for soil pollution apportionment: A review of the numerical methods. J Environ Sci 136: 95–109. https://doi.org/10.1016/j.jes.2022.09.027
Shi T, Zhang Y, Gong Y, et al. (2019) Status of cadmium accumulation in agricultural soils across China (1975–2016): From temporal and spatial variations to risk assessment. Chemosphere 230: 136–143. https://doi.org/10.1016/j.chemosphere.2019.04.208
Sun B, Zhang L, Yang L, et al. (2012) Agricultural non-point source pollution in China: Causes and mitigation measures. Ambio 41(4): 370–379. https://doi.org/10.1007/s13280-012-0249-6
Sun JX, Zhao ML, Huang JL, et al. (2022) Determination of priority control factors for the management of soil trace metal(loid)s based on source-oriented health risk assessment. J Hazard Mater 423(A): 127116. https://doi.org/10.1016/j.jhazmat.2021.127116
Sun HJ, Xiang P, Luo J, et al. (2016) Mechanisms of arsenic disruption on gonadal, adrenal and thyroid endocrine systems in humans: A review. Environ Int 95: 61–68. https://doi.org/10.1016/j.envint.2016.07.020
Taati A, Salehi MH, Mohammadi J, et al. (2021) Human health risk assessment of arsenic and trace metals in atmospheric dust of Arak industrial area, Iran. Environ Sci Pollut Res 28(27): 36837–36849. https://doi.org/10.1007/s11356-021-13197-x
Tong R, Yang X, Su H, et al. (2018) Levels, sources and probabilistic health risks of polycyclic aromatic hydrocarbons in the agricultural soils from sites neighboring suburban industries in Shanghai. Sci Total Environ 616–617: 1365–1373. https://doi.org/10.1016/j.scitotenv.2017.10.179
USEPA (United States Environmental Protection Agency) (1997) Exposure factors handbook (EPA/600/P-95/002F a-c). Environmental Protection Agency region I, Washington, DC, USA.
USEPA (United States Environmental Protection Agency) (2014) Environmental protection agency. EPA positive matrix factorization (PMF) 5.0 fundamentals and User Guide. Washington, DC, USA.
Wang J, Mi W, Song P, et al. (2018) Cultivation ages effect on soil physicochemical properties and heavy metal accumulation in greenhouse soils. Chin Geogr Sci 28(4): 717–726. https://doi.org/10.1007/s11769-018-0980-4
Wang J, Sun K, Ni J, et al. (2020) Evaluation and factor analysis of the intensive use of urban Land based on technical efficiency measurement—A case study of 38 districts and counties in Chongqing, China. Sustainability 12(20): 8623. https://doi.org/10.3390/su12208623
Wang Y, Zhu Y, Zhang S, et al. (2018) What could promote farmers to replace chemical fertilizers with organic fertilizers?. J Clean Prod 199: 882–890. https://doi.org/10.1016/j.jclepro.2018.07.222
Wu H, Ge Y (2019) Excessive application of fertilizer, agricultural non-point source pollution, and farmers’ policy choice. Sustainability 11(4): 1165. https://doi.org/10.3390/su11041165
Wu J, Li J, Teng YG, et al. (2020) A partition computing-based positive matrix factorization (PC-PMF) approach for the source apportionment of agricultural soil heavy metal contents and associated health risks. J Hazard Mater 388: 121766. https://doi.org/10.1016/j.jhazmat.2019.121766
Yang Q, Li Z, Lu X, et al. (2018) A review of soil heavy metal pollution from industrial and agricultural regions in China: Pollution and risk assessment. Sci Total Environ 642: 690–700. https://doi.org/10.1016/j.scitotenv.2018.06.068
Yang S, Zhao J, Chang SX, et al. (2019) Status assessment and probabilistic health risk modeling of metals accumulation in agriculture soils across China: A synthesis. Environ Int 128: 165–174.https://doi.org/10.1016/j.envint.2019.04.044
Yuanan H, He KL, Sun ZH, et al. (2020) Quantitative source apportionment of heavy metal(loid)s in the agricultural soils of an industrializing region and associated model uncertainty. J Hazard Mater 391: 122244. https://doi.org/10.1016/j.jhazmat.2020.122244
Zhang B, Yu L, Sun C (2022) How does urban environmental legislation guide the green transition of enterprises? Based on the perspective of enterprises’ green total factor productivity. Energ Econo 110: 106032. https://doi.org/10.1016/j.eneco.2022.106032
Zhang H, Cheng S, Li H, et al. (2020) Groundwater pollution source identification and apportionment using PMF and PCAAPCA-MLR receptor models in a typical mixed land-use area in southwestern China. Sci Total Environ 741: 140383. https://doi.org/10.1016/j.scitotenv.2020.140383
Zhao K, Zhang L, Dong J, et al. (2020) Risk assessment, spatial patterns and source apportionment of soil heavy metals in a typical Chinese hickory plantation region of southeastern China. Geoderma 360: 114011. https://doi.org/10.1016/j.geoderma.2019.114011
Zhao YF, Shi XZ, Huang B, et al. (2007) Spatial distribution of heavy metals in agricultural soils of an industry-based periurban area in Wuxi, China. Pedosphere 17(1): 44–51. https://doi.org/10.1016/S1002-0160(07)60006-X
Zhou Y, Jiang D, Ding D, et al. (2022) Ecological-health risks assessment and source apportionment of heavy metals in agricultural soils around a super-sized lead-zinc smelter with a long production history, in China. Environ Pollut 307: 119487. https://doi.org/10.1016/j.envpol.2022.119487
Żukowska J, Biziuk M (2008) Methodological evaluation of method for dietary heavy metal intake. J Food Sci 73(2): R21–R29.https://doi.org/10.1111/j.1750-3841.2007.00648.x
Acknowledgments
This study was supported by Project of Chongqing Science and Technology Bureau (cstc2022jxjl0005).
Author information
Authors and Affiliations
Contributions
Ma Jie and Chu Lijuan: contributed equally to this work, analyzed experimental results and wrote the manuscript. Wang Shenglan, Ge Miao and Deng Li: sampling and experiment. Sun Jing: supervision and writing-review.
Corresponding author
Ethics declarations
Conflict of Interest:The authors declare that we have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Electronic Supplementary Material
Rights and permissions
About this article
Cite this article
Ma, J., Chu, L., Sun, J. et al. Health risk assessment of trace metal(loid)s in agricultural soils based on Monte Carlo simulation coupled with positive matrix factorization model in Chongqing, southwest China. J. Mt. Sci. 21, 100–112 (2024). https://doi.org/10.1007/s11629-023-8304-2
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11629-023-8304-2