Source apportionment of soil PTE in a northern industrial county using PMF model: Partitioning strategies and uncertainty analysis
文献类型：期刊论文
| 作者 | Shi, Biling2,3; Yang, Xiao3; Liang, Tao3; Liu, Siyan3; Yan, Xiulan3; Li, Junchun1,3; Liu, Zhaoshu3 |
| 刊名 | ENVIRONMENTAL RESEARCH
 |
| 出版日期 | 2024-07-01 |
| 卷号 | 252页码:118855 |
| 关键词 | Source apportionment Agricultural soil PTE Spatial heterogeneity Partitioning processing Positive matrix factorization |
| DOI | 10.1016/j.envres.2024.118855 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Positive matrix factorization (PMF) has commonly been applied for source apportionment of potentially toxic elements (PTE) in agricultural soil, however, spatial heterogeneity of PTE significantly undermines the accuracy and reliability of PMF results. In this study, a representative industrial-agricultural hub in North China (Xuanhua district, Zhangjiakou City) was selected as the research subject, multiple partition processing (PP) strategies and uncertainty analyses were integrated to advance the PMF modeling and associated algorithm mechanisms were comparatively discussed. Specifically, we adopted three methods to split the research area into several subzones according to industrial density (PP-1), population density (PP-2), and the ecological risk index (PP-3) respectively, to rectify the spatial bias phenomenon of PTE concentrations and to achieve a more interpretable result. Our results indicated that the obvious enrichment of Cd, Pb, and Zn was found in the agricultural soil, with Hg and Cd accounted for 83.49% of the overall potential ecological risk. Combining proper PP with PMF can significantly improve the modelling accuracy. Uncertainty analysis showed that interval ratios of tracer species (Cd, Pb, Hg, and Zn) calculated by PP-3 were consistently lower than that of PP-1 and PP-2, indicating that PP-3 coupled PMF can afford the optimal modeling results. It suggested that natural sources, fertilizers and pesticides, atmosphere deposition, mining, and smelting were recognized as the major contributor for the soil PTE contamination. The contribution of anthropogenic activities, specifically fertilizers and pesticides, and atmosphere deposition, increased by 1.64% and 5.91% compared to PMF results. These findings demonstrate that integration of proper partitioning processing into PMF can effectively improve the accuracy of the model even at the case of soil PTE contamination with high heterogeneity, offering support to subsequently implement directional control strategies. |
| WOS关键词 | POSITIVE MATRIX FACTORIZATION ; HEAVY-METALS ; SOURCE IDENTIFICATION ; POLLUTION ; CADMIUM ; CHINA ; PM2.5 ; URBAN ; PM10 ; PAHS |
| WOS研究方向 | Environmental Sciences & Ecology ; Public, Environmental & Occupational Health |
| WOS记录号 | WOS:001232609200001 |
| 出版者 | ACADEMIC PRESS INC ELSEVIER SCIENCE |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/205300]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 通讯作者 | Liang, Tao; Yan, Xiulan |
| 作者单位 | 1.Guangdong Prov Acad Environm Sci, Guangdong Key Lab Contaminated Environm Management, Guangzhou 510045, Guangdong, Peoples R China 2.Univ Chinese Acad Sci, Sino Danish Coll, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Shi, Biling,Yang, Xiao,Liang, Tao,et al. Source apportionment of soil PTE in a northern industrial county using PMF model: Partitioning strategies and uncertainty analysis[J]. ENVIRONMENTAL RESEARCH,2024,252:118855. |
| APA | Shi, Biling.,Yang, Xiao.,Liang, Tao.,Liu, Siyan.,Yan, Xiulan.,...&Liu, Zhaoshu.(2024).Source apportionment of soil PTE in a northern industrial county using PMF model: Partitioning strategies and uncertainty analysis.ENVIRONMENTAL RESEARCH,252,118855. |
| MLA | Shi, Biling,et al."Source apportionment of soil PTE in a northern industrial county using PMF model: Partitioning strategies and uncertainty analysis".ENVIRONMENTAL RESEARCH 252(2024):118855. |
入库方式： OAI收割
来源：地理科学与资源研究所
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