A Modified Model for Quantitative Heavy Metal Source Apportionment and Pollution Pathway Identification.

ABSTRACT: Current source apportionment models have successfully identified emission sources and quantified their contributions. However, when being utilized for heavy metal source apportion in soil, their accuracy needs to be improved, regarding migration patterns. Therefore, this work intended to improve the pre-existing principal component analysis and multiple linear regression with distance (PCA-MLRD) model to effectively locate pollution pathways (traffic emissions, irrigation water, atmospheric depositions, etc.) and achieve a more precise quantification. The dataset of soil heavy metals was collected from a typical area in the Chang-Zhu-Tan region, Hunan, China in 2021. The identification of the contribution of soil parent material was accomplished through enrichment factors and crustal refer

SUBMITTER: Wang M 

PROVIDER: S-EPMC11209494 | biostudies-literature | 2024 May

REPOSITORIES: biostudies-literature