Arid
DOI10.1016/j.jclepro.2019.117792
Source apportionment of heavy metals in farmland soil of Wuwei, China: Comparison of three receptor models
Guan, Qingyu1; Zhao, Rui; Pan, Ninghui; Wang, Feifei; Yang, Yanyan; Luo, Haiping
通讯作者Guan, Qingyu
来源期刊JOURNAL OF CLEANER PRODUCTION
ISSN0959-6526
EISSN1879-1786
出版年2019
卷号237
英文摘要Receptor models are, rarely utilized in soil but are often used to identify pollutant sources and quantify their contribution. This paper focuses on the soil in oasis farmland. A geochemical baseline is used to assess the pollution of the soil, and then three models are tentatively utilized to apportion heavy metals and compare the sources, the contributions and the operation effects. Pollution assessment indicated that the farmland soil of Wuwei was lightly contaminated by heavy metals. Source apportionments suggested that atmospheric deposition contributed the most pollution (53.95%-65.35%). The three models supplemented each other, and the grouped principal component analysis/absolute principal component scores (GPCA/APCS) was outstanding. GPCA/APCS and UNMIX suggested that agricultural activities were the prime anthropogenic source (51.06%-61.56%), followed by the combustion of fossil fuels (coal and oil) (27.92%-28.66%) and building materials-related activities source (10.52%-20.29%). Fertilizers and pesticides (67.88%-74.81%) contributed more than traffic emissions (25.19%-32.12%) in agricultural activities. Similar results were acquired via positive matrix factorization (PMF), while industrial activity was the highest individual contributor (29.91%). Therefore, combining these three models was the most effective approach, and more attention should be paid to mitigating the pollution caused by the use of fertilizers and pesticides as well as the industrial activities in Wuwei. The results of this study could provide reference in reduction of heavy metal pollution in farmland soil. (C) 2019 Elsevier Ltd. All rights reserved.
英文关键词Farmland soil heavy metals Source apportionment GPCA/APCS PMF UNMIX
类型Article
语种英语
国家Peoples R China
收录类别SCI-E
WOS记录号WOS:000483462700092
WOS关键词HEALTH-RISK ASSESSMENT ; POLYCYCLIC AROMATIC-HYDROCARBONS ; PRINCIPAL COMPONENT SCORES ; SOURCE IDENTIFICATION ; AGRICULTURAL SOILS ; TRACE-ELEMENTS ; PARTICULATE MATTER ; CONTAMINATED SOILS ; POLLUTION CHARACTERISTICS ; PHOSPHATE FERTILIZERS
WOS类目Green & Sustainable Science & Technology ; Engineering, Environmental ; Environmental Sciences
WOS研究方向Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology
EI主题词2019-11-10
来源机构兰州大学
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/310812
作者单位1.Lanzhou Univ, Minist Educ, Key Lab Western Chinas Environm Syst, Lanzhou 730000, Gansu, Peoples R China;
2.Lanzhou Univ, Gansu Key Lab Environm Pollut Predict & Control, Coll Earth & Environm Sci, Lanzhou 730000, Gansu, Peoples R China
推荐引用方式
GB/T 7714
Guan, Qingyu,Zhao, Rui,Pan, Ninghui,et al. Source apportionment of heavy metals in farmland soil of Wuwei, China: Comparison of three receptor models[J]. 兰州大学,2019,237.
APA Guan, Qingyu,Zhao, Rui,Pan, Ninghui,Wang, Feifei,Yang, Yanyan,&Luo, Haiping.(2019).Source apportionment of heavy metals in farmland soil of Wuwei, China: Comparison of three receptor models.JOURNAL OF CLEANER PRODUCTION,237.
MLA Guan, Qingyu,et al."Source apportionment of heavy metals in farmland soil of Wuwei, China: Comparison of three receptor models".JOURNAL OF CLEANER PRODUCTION 237(2019).
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