Applications of dynamic simulation for source analysis of soil pollutants based on atmospheric diffusion and deposition model.

Xiaoqian Guo, Shuai Li, Yimei Zhang, Baimiao Wu, Wenjin Guo

The Science of the total environment 2022 Sep 15

filter terms:

Existing receptor-model-based source apportionment methods failed to derive source contributions to accumulation of soil heavy metals (SHMs). In this research, a dynamics-simulation-based source apportionment approach (DSSA) was developed by integrating mathematical models of source release, diffusion and deposition pathway, and receptor accumulation, to quantify accumulative contributions of SHMs. The case study was carried out in a complex industrialized region in southeast China to investigate pollution situation of SHMs (Zn, Pb, Ni, As, Cd, and Cr). The results showed that SHMs distributions were affected by seasonal variation and near-surface meteorology, which could be sequenced by correlation coefficient as temperature (0.968) > humidity (0.552) > precipitation (0.389) > wind speed (0.386). The source categories and corresponding contribution rates were identified as: i) battery plant to Zn (72.32%) and Pb (71.73%), ii) traffic to Ni (64.55%), iii) traffic and agriculture to Cd (43.26%, 41.63%), iv) agriculture to As (75.30%) and Cr (60.05%), which was similar to the results of positive matrix factorization (PMF). Furthermore, DSSA could illustrate SHMs migration process from source to receptor. The uncertainty analysis further proved the distinct advantages of DSSA. The results of this research could predict pollutant enrichment and could provide new perspective for environment and public health management. Copyright © 2022. Published by Elsevier B.V.

Citation

Xiaoqian Guo, Shuai Li, Yimei Zhang, Baimiao Wu, Wenjin Guo. Applications of dynamic simulation for source analysis of soil pollutants based on atmospheric diffusion and deposition model. The Science of the total environment. 2022 Sep 15;839:156057