4.7 Article

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

期刊

SCIENCE OF THE TOTAL ENVIRONMENT
卷 839, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.scitotenv.2022.156057

关键词

Soil heavy metals; Diffusion and deposition; Spatial distribution; Accumulative contributions; Source identi fication

资金

  1. National Key R&D Program of China [2018YFB0605504]
  2. National Natural Science Foundation of China [51878272]
  3. Science and Technology Projects of Suzhou City [SYG201913, SYG201914]

向作者/读者索取更多资源

In this research, a dynamics-simulation-based source apportionment approach (DSSA) was developed to quantify the accumulative contributions of soil heavy metals (SHMs). A case study in a complex industrialized region in southeast China revealed that SHMs distributions were influenced by seasonal variation and near-surface meteorology. The DSSA approach provided valuable insights into the migration process of SHMs and proved to be advantageous compared to existing methods.
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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据