中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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
DOI10.1016/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

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