{
    "abstract": "Investigation and assessment of farmland pollution require an efficient method to identify heavy metal (HM) pollutants and their sources. In this study, heavy metals (HMs) in farmland were determined efficiently using high-precision X-ray fluorescence (HDXRF) spectrometer. The potential ecological\u00a0risk and health risk of HMs\u00a0in farmland near eight villages of Wushan County in China were quantified using an integrated method of concentration-oriented risk assessment (CORA) and source-oriented risk assessment (SORA). The CORA results showed that Cd in farmland near the villages of Liuping (LP) and Jianping (JP) posed a \"very high\" potential ecological risk, which is mainly ascribed to soil Cd (single potential ecological risk index ([Formula: see text]) of Cd in villages LP and JP, [Formula: see text] = 2307 and 568\u2009>\u2009320). A \"moderate\" potential ecological risk was present in other six villages. The overall non-carcinogenic risk (hazard index (HI)\u2009=\u20091.2\u2009>\u20091) of HMs for children in village LP was unacceptable. The contributions of HMs decrease in the order of Cr\u2009>\u2009As\u2009>\u2009Cd\u2009>\u2009Pb\u2009>\u2009Ni\u2009>\u2009Cu\u2009>\u2009Zn. The total carcinogenic risk (TCR\u2009=\u20092.1\u2009\u00d7\u200910",
    "authors": [
        {
            "affiliation": "College of Resources and Safety, Chongqing Vocational Institute of Engineering, Chongqing, 402260, China. terrytian1985@hotmail.com.",
            "firstname": "Xiaosong",
            "initials": "X",
            "lastname": "Tian"
        },
        {
            "affiliation": "Interdisciplinary Research Center for Agriculture Green Development in Yangtze River Basin, College of Resources and Environment, Southwest University, Chongqing, 400715, China.",
            "firstname": "Qing",
            "initials": "Q",
            "lastname": "Xie"
        },
        {
            "affiliation": "Chongqing Engineering Research Center for Soil Contamination Control and Remediation, Chongqing, 400067, China.",
            "firstname": "Min",
            "initials": "M",
            "lastname": "Fan"
        },
        {
            "affiliation": "Institute of Soil and Fertilizer, Guizhou Academy of Agricultural Sciences, Guiyang, 550006, China.",
            "firstname": "Guanqun",
            "initials": "G",
            "lastname": "Chai"
        },
        {
            "affiliation": "Chongqing Engineering Research Center for Soil Contamination Control and Remediation, Chongqing, 400067, China.",
            "firstname": "Guanghui",
            "initials": "G",
            "lastname": "Li"
        }
    ],
    "conclusions": null,
    "copyrights": "\u00a9 2022. The Author(s).",
    "doi": "10.1038/s41598-022-16177-4\n10.1016/j.scitotenv.2015.01.025\n10.1016/j.jhazmat.2019.121766\n10.1016/j.scitotenv.2018.10.185\n10.1016/j.geoderma.2016.11.024\n10.1016/j.geoderma.2014.11.024\n10.1007/s002160100759\n10.1016/j.envpol.2013.07.008\n10.1016/j.scitotenv.2018.06.178\n10.1016/j.envpol.2016.03.055\n10.1016/j.ecoenv.2018.01.050\n10.1016/j.envpol.2018.04.118\n10.1016/j.geoderma.2014.12.025\n10.1016/j.gexplo.2017.11.016\n10.1016/j.ecoenv.2020.111489\n10.11654/jaes.2018-0568\n10.1007/s00128-020-03066-7\n10.1016/j.scitotenv.2017.11.177\n10.1016/j.envint.2019.105239\n10.1371/journal.pone.0230191\n10.1016/j.ecoenv.2018.10.092\n10.1016/j.scitotenv.2019.134466\n10.1016/j.chemosphere.2017.10.151\n10.1016/j.jhazmat.2018.04.054\n10.1016/j.scitotenv.2012.11.108\n10.1016/j.scitotenv.2016.05.059\n10.1016/j.envpol.2019.02.045\n10.1016/j.chemosphere.2016.11.088\n10.1007/s11356-020-07986-z\n10.1038/s41598-020-63604-5\n10.1016/j.chemosphere.2009.03.064\n10.1016/j.ecoenv.2014.10.022\n10.1007/s00128-014-1236-3\n10.1097/SS.0000000000000067\n10.1016/j.chemosphere.2018.06.110\n10.1016/0043-1354(80)90143-8\n10.1016/j.scitotenv.2018.06.177\n10.1016/j.scitotenv.2018.06.068\n10.1016/j.scitotenv.2013.08.090\n10.1016/j.ecoenv.2014.07.001\n10.1007/s11356-020-08453-5\n10.3321/j.issn:1001-7410.2005.03.003\n10.1016/j.apgeochem.2013.07.022\n10.1007/s11368-020-02802-0\n10.1016/j.scitotenv.2015.01.022\n10.1016/j.catena.2020.104930\n10.1016/j.gexplo.2014.09.010\n10.1016/j.scitotenv.2018.09.198\n10.1021/es800219z",
    "journal": "Scientific reports",
    "keywords": [],
    "methods": null,
    "publication_date": "2022-07-17",
    "pubmed_id": "35842500\n25617996\n28675866\n31818669\n30463153\n11451245\n23906556\n29945086\n27100216\n29407740\n29734079\n33080423\n33392692\n29734612\n31639603\n32282796\n30388535\n31704412\n29131977\n29751173\n23280298\n27196989\n30818114\n27932041\n32112358\n32296085\n19403155\n25463862\n23947061\n24585255\n30114742\n30189566\n29909337\n24076505\n25063882\n30336616\n32253693\n25776202\n30240918\n18767658",
    "results": null,
    "title": "Identification of heavy metal pollutants and their sources in farmland: an integrated approach of risk assessment and X-ray fluorescence spectrometry.",
    "xml": "<Element 'PubmedArticle' at 0x788506e48ae0>"
}