An interpolation method incorporating the pollution diffusion characteristics for soil heavy metals- taking a coke plant as an example
文献类型:期刊论文
作者 | Zeng, Weibin; Wan, Xiaoming; Gu, Gaoquan; Lei, Mei; Yang, Jun; Chen, Tongbin |
刊名 | SCIENCE OF THE TOTAL ENVIRONMENT |
出版日期 | 2023-01-20 |
卷号 | 857 |
ISSN号 | 0048-9697 |
关键词 | AERMOD model Coking soil Co-Kriging Geodetector Heavy metals |
DOI | 10.1016/j.scitotenv.2022.159698 |
文献子类 | J |
英文摘要 | The existing spatial interpolation methods in the prediction of soil heavy metal distribution are generally based on spa-tial auto correlation theory, rarely considering the pollution patterns. By contrast, in polluted sites, heavy metals have a strong heterogeneity even within a very small area, which is not exactly in line with auto correlation theory. This con-tradiction may lead to inaccuracy in spatial prediction. Atmospheric diffusion and deposition are one of the main sources of soil heavy metal pollution caused by coal-related production activities. To improve the prediction accuracy, the diffusion patterns of pollutants were considered in this paper by integrating Geodetector, Co-Kriging (COK), and partition interpolation. Geodetector was used to identify the main driving factors of soil pollution, based on which, the main driving factors were used as covariates introduced into the interpolation method (COK). Specifically, the amount of particulate matter deposition obtained by a pollutant diffusion model (AERMOD) was used as a covariate. For comparison, the distances to quenching, coke oven, and ammonium sulfate section were also used as covariates. Compared with the Ordinary Kriging method, the method COK-AERMOD established here decreased the root mean square error values of As (2.05 reduced to 1.89), Cd (0.18 reduced to 0.16), Cr (19.07 reduced to 12.97), Cu (6.92 re-duced to 4.72), Hg (0.32 reduced to 0.28), Ni (16.92 reduced to 16.10), Pb (18.29 reduced to 16.62), and Zn (159.68 reduced to 153.66). This method in this paper is informative for the interpolation of soil elements in contaminated areas with known pollution source and diffusion patterns. |
WOS关键词 | HEALTH-RISK ASSESSMENT ; SPATIAL-DISTRIBUTION ; AERMOD ; CHINA ; URBAN ; MODEL ; CITY ; CONTAMINATION ; EMISSIONS ; BEHAVIOR |
WOS研究方向 | Environmental Sciences & Ecology |
出版者 | ELSEVIER |
WOS记录号 | WOS:000898473400015 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/188588] |
专题 | 资源利用与环境修复重点实验室_外文论文 |
作者单位 | 1.University of Chinese Academy of Sciences, CAS 2.Institute of Geographic Sciences & Natural Resources Research, CAS 3.Chinese Academy of Sciences |
推荐引用方式 GB/T 7714 | Zeng, Weibin,Wan, Xiaoming,Gu, Gaoquan,et al. An interpolation method incorporating the pollution diffusion characteristics for soil heavy metals- taking a coke plant as an example[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2023,857. |
APA | Zeng, Weibin,Wan, Xiaoming,Gu, Gaoquan,Lei, Mei,Yang, Jun,&Chen, Tongbin.(2023).An interpolation method incorporating the pollution diffusion characteristics for soil heavy metals- taking a coke plant as an example.SCIENCE OF THE TOTAL ENVIRONMENT,857. |
MLA | Zeng, Weibin,et al."An interpolation method incorporating the pollution diffusion characteristics for soil heavy metals- taking a coke plant as an example".SCIENCE OF THE TOTAL ENVIRONMENT 857(2023). |
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。