Comparison of common spatial interpolation methods for analyzing pollutant spatial distributions at contaminated sites
文献类型：期刊论文
| 作者 | Qiao, Pengwei1; Li, Peizhong1; Cheng, Yanjun1; Wei, Wenxia1; Yang, Sucai1; Lei, Mei2 ; Chen, Tongbin2
|
| 刊名 | ENVIRONMENTAL GEOCHEMISTRY AND HEALTH
 |
| 出版日期 | 2019-12-01 |
| 卷号 | 41期号:6页码:2709-2730 |
| 关键词 | Contaminated site Interpolation method Accuracy Uncertainty Comparison |
| ISSN号 | 0269-4042 |
| DOI | 10.1007/s10653-019-00328-0 |
| 通讯作者 | Yang, Sucai(liepi_yangsc@163.com) |
| 英文摘要 | Accurate prediction of the spatial distribution of pollutants in soils based on applicable interpolation methods is often the basis for soil remediation in contaminated sites. However, the applicable interpolation method has not been determined for contaminated sites due to the complex spatial distribution characteristics and stronger local spatial variability of pollutants. In this research, the prediction accuracies of three interpolation methods (including the different values of their parameters) for the spatial distribution of benzo[b]fluoranthene (BbF) in four soil layers were compared. These included inverse distance weighting (IDW), radial basis function (RBF), ordinary kriging (OK). The results indicated: (1) IDW1 is applicable for the first layer, RBF-IMQ is applicable to the second, third, and fourth layers. (2) For IDW, the prediction error is bigger with high weight where high values and low values intersect, while the prediction error is smaller where high (or low) values aggregated distribution. (3) For RBF, if the pollutant concentration trend at the predicted location is consistent with the known points in its neighborhood, the prediction accuracy is higher. (4) IDW is suitable for fitting more drastic curved surfaces, while RBF is more effective for relatively gentle curved surfaces and OK is reasonable for curved surfaces without local outliers. (5) The interpolation uncertainty is positively associated with the contaminant concentration and local spatial variability. Therefore, we suggest the selection of the applicable interpolation model must be based on the principle of the model and the spatial distribution characteristics of the pollutants. |
| WOS关键词 | POLYCYCLIC AROMATIC-HYDROCARBONS ; HEAVY-METALS ; SOIL PROPERTIES ; CHINA ; PAHS ; OPTIMIZATION ; MANAGEMENT ; SALINITY ; ELEMENTS ; CADMIUM |
| 资助项目 | China Postdoctoral Science Foundation ; Beijing Natural Science Foundation[16L00073] ; Beijing Postdoctoral Research Foundation ; [PXM2019_178203_00341400] |
| WOS研究方向 | Engineering ; Environmental Sciences & Ecology ; Public, Environmental & Occupational Health ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000496589200022 |
| 出版者 | SPRINGER |
| 资助机构 | China Postdoctoral Science Foundation ; Beijing Natural Science Foundation ; Beijing Postdoctoral Research Foundation |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/131987]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Yang, Sucai |
| 作者单位 | 1.Environm Protect Res Inst Light Ind, Beijing Key Lab Remediat Ind Pollut Sites, Beijing 100089, Peoples R China 2.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,Li, Peizhong,Cheng, Yanjun,et al. Comparison of common spatial interpolation methods for analyzing pollutant spatial distributions at contaminated sites[J]. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH,2019,41(6):2709-2730. |
| APA | Qiao, Pengwei.,Li, Peizhong.,Cheng, Yanjun.,Wei, Wenxia.,Yang, Sucai.,...&Chen, Tongbin.(2019).Comparison of common spatial interpolation methods for analyzing pollutant spatial distributions at contaminated sites.ENVIRONMENTAL GEOCHEMISTRY AND HEALTH,41(6),2709-2730. |
| MLA | Qiao, Pengwei,et al."Comparison of common spatial interpolation methods for analyzing pollutant spatial distributions at contaminated sites".ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 41.6(2019):2709-2730. |
入库方式： OAI收割
来源：地理科学与资源研究所
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