Articles with "receptor models" as a keyword



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Source apportionment for fine particulate matter in a Chinese city using an improved gas-constrained method and comparison with multiple receptor models.

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Published in 2018 at "Environmental pollution"

DOI: 10.1016/j.envpol.2017.10.007

Abstract: PM2.5 is one of the most studied atmospheric pollutants due to its adverse impacts on human health and welfare and the environment. An improved model (the chemical mass balance gas constraint-Iteration: CMBGC-Iteration) is proposed and… read more here.

Keywords: iteration; receptor models; source; source apportionment ... See more keywords
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Source apportionment of perfluoroalkyl substances in surface sediments from lakes in Jiangsu Province, China: Comparison of three receptor models.

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Published in 2017 at "Journal of environmental sciences"

DOI: 10.1016/j.jes.2016.12.007

Abstract: Receptor models have been proved as useful tools to identify source categories and quantitatively calculate the contributions of extracted sources. In this study, sixty surface sediment samples were collected from fourteen lakes in Jiangsu Province,… read more here.

Keywords: receptor models; lakes jiangsu; source; receptor ... See more keywords
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Quantitative Source Apportionment of Potentially Toxic Elements in Baoshan Soils Employing Combined Receptor Models

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Published in 2023 at "Toxics"

DOI: 10.3390/toxics11030268

Abstract: Arable soils are crucial for national development and food security; therefore, contamination of agricultural soils from potentially toxic elements (PTEs) is a global concern. In this study, we collected 152 soil samples for evaluation. Considering… read more here.

Keywords: pollution; receptor models; combined receptor; potentially toxic ... See more keywords