Establishing a partition interpolation method for PAHs in site soil based on different pollution causes
文献类型：期刊论文
| 作者 | Qiao, Pengwei1; Shan, Yue1; Guo, Guanghui3; Zhao, Qianyun2; Wang, Shuo1; He, Peiran1; Zhang, Zhongguo1 |
| 刊名 | ENVIRONMENTAL GEOCHEMISTRY AND HEALTH
 |
| 出版日期 | 2025-09-15 |
| 卷号 | 47期号:10页码:437 |
| 关键词 | Spatial distribution characteristics Outlier value zone Gentle zone Solute transport Main influencing factor Evaluation |
| ISSN号 | 0269-4042 |
| DOI | 10.1007/s10653-025-02739-8 |
| 产权排序 | 2 |
| 文献子类 | Article |
| 英文摘要 | PAHs are recognized as carcinogens by the International Agency for Research on Cancer. Acquiring spatial distribution information of PAHs is a prerequisite and foundation for soil pollution prevention and control on site. However, the presence of extremely high concentrations (outliers) limits the predictive accuracy of the spatial distribution of PAHs. This study focuses on fluoranthene (FLT), benzo[a]pyrene (BaP), benzo[b]fluoranthene (BbF), and indeno[1,2,3-cd]pyrene (InP), which have relatively high detection rate. Using geostatistical analysis, geodetectors, solute transport models, and multiple regression methods, we analyzed the spatial distribution characteristics and main influencing factors of these PAHs, and developed a new partition interpolation method. The research results are as follows: (1) The proportion of points exceeding the screening and risk intervention thresholds for BaP (16.10% and 4.23, respectively) was higher than that of the other three PAHs. The outlier values were primarily distributed in coking areas and wastewater treatment stations, where pollution was mainly due to leaks and affected areas within a 10-m radius, exhibiting high variability. Atmospheric deposition was the main influencing factor for zones excluding outliers, where variability was weaker; (2) We used solute transport models to simulate PAH distributions for the outlier zones and multiple linear regression models for the gentle zones without outliers. This approach reduced RMSE by over 90% compared to traditional interpolation methods, and reflected both localized highly-variable structures and overall distribution characteristics. This is of great significance for improving the accuracy of spatial distribution prediction of PAHs pollution with outlier values in the site soil. |
| URL标识 | 查看原文 |
| WOS关键词 | AROMATIC-HYDROCARBONS PAHS ; IMPACT |
| WOS研究方向 | Engineering ; Environmental Sciences & Ecology ; Public, Environmental & Occupational Health ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:001571671300001 |
| 出版者 | SPRINGER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/216035]  |
| 专题 | 资源利用与环境修复重点实验室_外文论文 |
| 通讯作者 | Qiao, Pengwei; Shan, Yue |
| 作者单位 | 1.Beijing Acad Sci & Technol, Inst Resources & Environm, Beijing Key Lab Remediat Ind Pollut Sites, Beijing 100089, Peoples R China; 2.YuHuan Environm Technol Co Ltd, Shijiazhuang 050051, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Qiao, Pengwei,Shan, Yue,Guo, Guanghui,et al. Establishing a partition interpolation method for PAHs in site soil based on different pollution causes[J]. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH,2025,47(10):437. |
| APA | Qiao, Pengwei.,Shan, Yue.,Guo, Guanghui.,Zhao, Qianyun.,Wang, Shuo.,...&Zhang, Zhongguo.(2025).Establishing a partition interpolation method for PAHs in site soil based on different pollution causes.ENVIRONMENTAL GEOCHEMISTRY AND HEALTH,47(10),437. |
| MLA | Qiao, Pengwei,et al."Establishing a partition interpolation method for PAHs in site soil based on different pollution causes".ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 47.10(2025):437. |
入库方式： OAI收割
来源：地理科学与资源研究所
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