An improved non-stationary geostatistical method for three-dimensional interpolation of Benzo(a)pyrene at a contaminated site
文献类型：期刊论文
| 作者 | Li, You2,3; Hou, Yixuan2,4; Tao, Huan1,2,3; Cao, Hongying2,3; Liu, Xiaodong4; Wang, Ziwei1,2,3; Liao, Xiaoyong2,3 |
| 刊名 | SCIENCE OF THE TOTAL ENVIRONMENT
 |
| 出版日期 | 2022-09-10 |
| 卷号 | 838页码:10 |
| 关键词 | Soil pollution 3D interpolation Contaminated site Non-stationary geostatistical model Variance octree |
| ISSN号 | 0048-9697 |
| DOI | 10.1016/j.scitotenv.2022.156169 |
| 通讯作者 | Liao, Xiaoyong(liaoxy@igsnrr.ac.cn) |
| 英文摘要 | Intense industrial activities and complex hydrogeological conditions at contaminated sites make accurate threedimensional (3D) mapping challenging. The cause is the non-stationarity in the variance of soil pollutants in geographical space (G-space), making the stationary hypothesis required by the Kriging method unsatisfactory. To handle the variance non-stationarity, a Variance-Octree-Kriging (VOK) method was proposed. VOK is a spatial deformation method that constructs a stationary deformation space (D-space) by stretching and shrinking the G-spaces with low and high spatial correlation, respectively. VOK method consists of 3D stratification in G-space, space scaling and transformation, and ordinary Kriging (OK) in D-space. 3D stratification uses variance octree (VOT) to generate a set of anchor points in the G-space. The spatial scaling and transformation use the virtual force algorithm (VFA) and thin-plate spline to evenly distribute the anchor points and obtain the D-space, where the OK is implemented. The method was applied to predict the distribution of soil Benzo(a)pyrene (BaP) at a contaminated site in North China Plain. The results show that the interpolation accuracy of VOK was 9% higher than that of OK. The VOK method also changed the spatial structure from anisotropic to isotropic. The root mean squared error (RMSE) of fill, silt and clay layers decreased by 4.67%, 11.39%, and 20.46%, respectively. This method is applicable to the 3D interpolation of pollutants at contaminated sites, with the advantages of high interpolation accuracy and the ability to handle the non-stationarity in variance. |
| WOS关键词 | SOIL ; VARIANCE |
| 资助项目 | Key Program of National Natural Science Foundation of China[42130713] ; Strategic Priority Research Pro-gram of the Chinese Academy of Sciences[XDA23010402] ; National Key R&D Program of China[2020YFC1807404] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000809649000010 |
| 出版者 | ELSEVIER |
| 资助机构 | Key Program of National Natural Science Foundation of China ; Strategic Priority Research Pro-gram of the Chinese Academy of Sciences ; National Key R&D Program of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/179703]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Liao, Xiaoyong |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 3.Beijing Key Lab Environm Damage Assessment & Remed, Beijing 100101, Peoples R China 4.Univ Sci & Technol China, Sch Earth & Space Sci, Hefei 230026, Anhui, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, You,Hou, Yixuan,Tao, Huan,et al. An improved non-stationary geostatistical method for three-dimensional interpolation of Benzo(a)pyrene at a contaminated site[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2022,838:10. |
| APA | Li, You.,Hou, Yixuan.,Tao, Huan.,Cao, Hongying.,Liu, Xiaodong.,...&Liao, Xiaoyong.(2022).An improved non-stationary geostatistical method for three-dimensional interpolation of Benzo(a)pyrene at a contaminated site.SCIENCE OF THE TOTAL ENVIRONMENT,838,10. |
| MLA | Li, You,et al."An improved non-stationary geostatistical method for three-dimensional interpolation of Benzo(a)pyrene at a contaminated site".SCIENCE OF THE TOTAL ENVIRONMENT 838(2022):10. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。