2021
DOI: 10.1007/s10653-021-00850-0
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Identification of iron and sulfate release processes during riverbank filtration using chemical mass balance modeling

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Cited by 3 publications
(1 citation statement)
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“…Establishing the corresponding relationship between pollutant sources and pollution status can help to identify the main pollution sources and their contributions to the receptors (13). The receptor models are more widely used with fewer restrictions, mainly including the chemical mass balance model (CMB), principal component analysis (PCA) and positive matrix factorization (PMF) models (14,15). In particular, the absolute principal component score combined with multiple linear regression analysis (APCS-MLR) focuses on receptor pollution sources.…”
Section: Introductionmentioning
confidence: 99%
“…Establishing the corresponding relationship between pollutant sources and pollution status can help to identify the main pollution sources and their contributions to the receptors (13). The receptor models are more widely used with fewer restrictions, mainly including the chemical mass balance model (CMB), principal component analysis (PCA) and positive matrix factorization (PMF) models (14,15). In particular, the absolute principal component score combined with multiple linear regression analysis (APCS-MLR) focuses on receptor pollution sources.…”
Section: Introductionmentioning
confidence: 99%