Identification of spatial patterns and sources of heavy metals in greenhouse soils using geostatistical and positive matrix factorization (PMF) methods
文献类型：期刊论文
| 作者 | Meng, Min2,3; Yang, Linsheng2,3; Yu, Jiangping2; Wei, Binggan2; Li, Hairong2,3; Cao, Zhiqiang2,3; Chen, Qing4; Zhang, Guoyin1 |
| 刊名 | LAND DEGRADATION & DEVELOPMENT
 |
| 出版日期 | 2021-10-25 |
| 页码 | 15 |
| 关键词 | greenhouse soil heavy metals positive matrix factorization source spatial variation |
| ISSN号 | 1085-3278 |
| DOI | 10.1002/ldr.4117 |
| 通讯作者 | Wei, Binggan(weibg@igsnrr.ac.cn) |
| 英文摘要 | Greenhouse vegetable products are important dietary sources. Heavy metals in greenhouse soils are associated with food safety and public health. Therefore, heavy metals in greenhouse soils are of significant concern. This study used positive matrix factorization (PMF) and geostatistical analyses to assess possible sources and spatial distribution patterns of heavy metals in 248 greenhouse soil samples obtained from southern Hebei Province, China. The results showed that the mean arsenic (As), cadmium (Cd), chromium (Cr), copper (Cu), mercury (Hg), nickel (Ni), lead (Pb), and zinc (Zn) concentrations in the greenhouse soil samples were 13.5, 0.16, 74.3, 31.4, 0.03, 26.0, 156, and 98.0 mg/kg, respectively. Approximately 97.18%, 32.26%, 25.81%, 22.98%, 8.06%, 6.45%, 2.02%, and 0.40% of sample sites were contaminated with Cd, Cu, Hg, Zn, Cr, As, Pb, and Ni, respectively. The PMF indicated that Cd and Pb was mainly influenced by metal smelting activity; Cu and Zn accumulation in greenhouse soils was mainly from manure and chemical fertilizer application, while Ni, Cr, and As were strongly derived from natural sources. The spatial distribution patterns varied among metals, with Ni and Pb mainly controlled by natural factors, whereas Cd, Cu, Cr, and Zn were moderately to strongly influenced by fertilizer application. However, Pb is also affected by atmospheric deposition caused by industrial emissions. The spatial distribution of As is controlled by both natural and anthropogenic factors. |
| WOS关键词 | VEGETABLE PRODUCTION SYSTEMS ; AGRICULTURAL SOIL ; MULTIVARIATE ; REGION ; CONTAMINATION ; POLLUTION ; CHINA ; ACCUMULATION ; GIS ; APPORTIONMENT |
| 资助项目 | National Key R & D Program of China[2016YFD0801004] ; National Natural Science Foundation of China[41977400] ; China Agriculture Research System[CARS-23-B16] |
| WOS研究方向 | Environmental Sciences & Ecology ; Agriculture |
| 语种 | 英语 |
| WOS记录号 | WOS:000710659900001 |
| 出版者 | WILEY |
| 资助机构 | National Key R & D Program of China ; National Natural Science Foundation of China ; China Agriculture Research System |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/167303]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wei, Binggan |
| 作者单位 | 1.Inst Agr Resources & Environm, Hebei Acad Agr & Forestry Sci, Shijiazhuang, Hebei, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing, Peoples R China 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China 4.China Agr Univ, Coll Resources & Environm Sci, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Meng, Min,Yang, Linsheng,Yu, Jiangping,et al. Identification of spatial patterns and sources of heavy metals in greenhouse soils using geostatistical and positive matrix factorization (PMF) methods[J]. LAND DEGRADATION & DEVELOPMENT,2021:15. |
| APA | Meng, Min.,Yang, Linsheng.,Yu, Jiangping.,Wei, Binggan.,Li, Hairong.,...&Zhang, Guoyin.(2021).Identification of spatial patterns and sources of heavy metals in greenhouse soils using geostatistical and positive matrix factorization (PMF) methods.LAND DEGRADATION & DEVELOPMENT,15. |
| MLA | Meng, Min,et al."Identification of spatial patterns and sources of heavy metals in greenhouse soils using geostatistical and positive matrix factorization (PMF) methods".LAND DEGRADATION & DEVELOPMENT (2021):15. |
入库方式： OAI收割
来源：地理科学与资源研究所
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