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Quantitative source apportionment and ecological risk assessment of heavy metals in soil of a grain base in Henan Province, China, using PCA, PMF modeling, and geostatistical techniques

文献类型：期刊论文

作者Zhang, Qianqian1,2; Zhang, Xueqing1
刊名ENVIRONMENTAL MONITORING AND ASSESSMENT
出版日期2021-10-01
卷号193期号:10页码:14
关键词Agricultural soil Heavy metal Pollution sources Positive matrix factorization Spatial analysis
ISSN号0167-6369
DOI10.1007/s10661-021-09449-5
英文摘要Heavy metals' pollution of agricultural soil is an environmental problem of widespread concern, especially in China, but, how to accurately identify their sources is still a great challenge. Here, we implemented a high-density sampling strategy (2194 samples collected) and combined correlation analysis (CA), principal component analysis (PCA), positive matrix factorization (PMF) modeling, and geostatistical analyses to identify and quantify the source contributions of heavy metals in agricultural soil in a key commodity grain base of China. The results showed that the excess risk rate of Cd was the highest (4.3%), and contributing to 42.7% of the total potential ecological risk in the region. Hence, Cd is the most important ecological risk factor. Heavy metals in the region mainly originated from oil extraction and smelting (7.5%), parent materials and traffic emissions (59.2%), coal-related industrial activities (11.6%), and agricultural sources (21.7%). Cd was mainly derived from oil extraction and smelting (90.1%). As (73.6%), Cr (90.3%), and Pb (67.1%) were closely associated with parent materials and traffic emissions. Hg (87.7%) was mainly originated from coal-related industrial sources. In addition, As (25.6%) and Pb (24.3%) were also from agricultural sources (such as fertilizer, pesticides, and manure). This study confirms that the combination of these methods can accurately identify the sources of heavy metals in agricultural soil. These findings can assist governmental agencies in implementing targeted control strategies to prevent the spread of heavy metals.
WOS关键词AGRICULTURAL SOILS ; SPATIAL-DISTRIBUTION ; TRACE-METALS ; POLLUTION ; IDENTIFICATION ; PB ; ACCUMULATION ; EMISSIONS ; SITES ; PM2.5
资助项目China Postdoctoral Science Foundation[2020M670448] ; Natural Science Foundation of Hebei Province of China[D2020504001] ; National Key R&D Program of China[2018YFC1803001] ; Projects of China Geological Survey, China[DD20190335] ; Projects of China Geological Survey, China[DD20190331]
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000696543300003
出版者SPRINGER
资助机构China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; Natural Science Foundation of Hebei Province of China ; Natural Science Foundation of Hebei Province of China ; Natural Science Foundation of Hebei Province of China ; Natural Science Foundation of Hebei Province of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; Projects of China Geological Survey, China ; Projects of China Geological Survey, China ; Projects of China Geological Survey, China ; Projects of China Geological Survey, China ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; Natural Science Foundation of Hebei Province of China ; Natural Science Foundation of Hebei Province of China ; Natural Science Foundation of Hebei Province of China ; Natural Science Foundation of Hebei Province of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; Projects of China Geological Survey, China ; Projects of China Geological Survey, China ; Projects of China Geological Survey, China ; Projects of China Geological Survey, China ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; Natural Science Foundation of Hebei Province of China ; Natural Science Foundation of Hebei Province of China ; Natural Science Foundation of Hebei Province of China ; Natural Science Foundation of Hebei Province of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; Projects of China Geological Survey, China ; Projects of China Geological Survey, China ; Projects of China Geological Survey, China ; Projects of China Geological Survey, China ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; Natural Science Foundation of Hebei Province of China ; Natural Science Foundation of Hebei Province of China ; Natural Science Foundation of Hebei Province of China ; Natural Science Foundation of Hebei Province of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; Projects of China Geological Survey, China ; Projects of China Geological Survey, China ; Projects of China Geological Survey, China ; Projects of China Geological Survey, China
源URL[http://ir.iggcas.ac.cn/handle/132A11/102656]  
专题地质与地球物理研究所_中国科学院新生代地质与环境重点实验室
通讯作者Zhang, Xueqing
作者单位1.Chinese Acad Geol Sci, Inst Hydrogeol & Environm Geol, Hebei & China Geol Survey Key Lab Groundwater Rem, Shijiazhuang 050061, Hebei, Peoples R China
2.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Cenozo Geol & Environm, Beijing 100029, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Qianqian,Zhang, Xueqing. Quantitative source apportionment and ecological risk assessment of heavy metals in soil of a grain base in Henan Province, China, using PCA, PMF modeling, and geostatistical techniques[J]. ENVIRONMENTAL MONITORING AND ASSESSMENT,2021,193(10):14.
APA Zhang, Qianqian,&Zhang, Xueqing.(2021).Quantitative source apportionment and ecological risk assessment of heavy metals in soil of a grain base in Henan Province, China, using PCA, PMF modeling, and geostatistical techniques.ENVIRONMENTAL MONITORING AND ASSESSMENT,193(10),14.
MLA Zhang, Qianqian,et al."Quantitative source apportionment and ecological risk assessment of heavy metals in soil of a grain base in Henan Province, China, using PCA, PMF modeling, and geostatistical techniques".ENVIRONMENTAL MONITORING AND ASSESSMENT 193.10(2021):14.

入库方式： OAI收割

来源：地质与地球物理研究所

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