Quantitative source identification and apportionment of heavy metals under two different land use types: comparison of two receptor models APCS-MLR and PMF
Sign Up to like & getrecommendations! Published in 2020 at "Environmental Science and Pollution Research"
DOI: 10.1007/s11356-020-10234-z
Abstract: At present, many researchers are increasingly aware of the importance of using models to identify heavy metal (HM) pollution sources. However, on the performance and application of different source identification models to HMs under different… read more here.
Keywords: use; pollution; apcs mlr; use types ... See more keywords
The sources risk assessment combined with APCS/MLR model for potentially toxic elements in farmland of a first-tier city, China
Sign Up to like & getrecommendations! Published in 2022 at "Environmental Science and Pollution Research"
DOI: 10.1007/s11356-022-19325-5
Abstract: With the rapid economic development, potentially toxic elements (PTEs) are continuously migrating, transforming, and enriching in farmland through atmospheric deposition and other media, posing threats to food security and human health. At present, there are… read more here.
Keywords: risk; apcs mlr; potentially toxic; pollution sources ... See more keywords
Source apportionment of heavy metals in farmland soil with application of APCS-MLR model: A pilot study for restoration of farmland in Shaoxing City Zhejiang, China.
Sign Up to like & getrecommendations! Published in 2019 at "Ecotoxicology and environmental safety"
DOI: 10.1016/j.ecoenv.2019.109495
Abstract: The conditions of the sources of heavy metals are essential to assess its potential threats to human health. The identification of the origin of heavy metals is essential for planning effective measures to control long-term… read more here.
Keywords: apcs mlr; shaoxing city; heavy metals; soil ... See more keywords
Apportionment and evolution of pollution sources in a typical riverside groundwater resource area using PCA-APCS-MLR model.
Sign Up to like & getrecommendations! Published in 2018 at "Journal of contaminant hydrology"
DOI: 10.1016/j.jconhyd.2018.10.005
Abstract: Comparative analysis was performed of changing groundwater quality over ten years (2006-2016) by source apportionment and spatial distribution characteristics. This shallow groundwater in a typical riverside groundwater resource area was studied using principal component analysis… read more here.
Keywords: groundwater; pollution sources; evolution; pollution ... See more keywords