2021
DOI: 10.1016/j.envint.2020.106162
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Source-specific risks of synchronous heavy metals and PAHs in inhalable particles at different pollution levels: Variations and health risks during heavy pollution

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Cited by 42 publications
(11 citation statements)
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“…Compared with other sources, steel-related smelting contributed the most to the toxic element levels during haze episodes. These results were similar to the findings of Sun et al (2021) , which indicated that industrial emissions had a significant impact on cancer risks associated with different heavy pollution, however, Lin et al (2020) found that traffic emissions were the dominant source of cancer risks. In the present study, the TCR of steel-related smelting for both children and adults was the highest during pre-lockdown haze episodes and exceeded the US EPA limit.…”
Section: Resultssupporting
confidence: 87%
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“…Compared with other sources, steel-related smelting contributed the most to the toxic element levels during haze episodes. These results were similar to the findings of Sun et al (2021) , which indicated that industrial emissions had a significant impact on cancer risks associated with different heavy pollution, however, Lin et al (2020) found that traffic emissions were the dominant source of cancer risks. In the present study, the TCR of steel-related smelting for both children and adults was the highest during pre-lockdown haze episodes and exceeded the US EPA limit.…”
Section: Resultssupporting
confidence: 87%
“…In this study, according to the studies from Diao et al (2021) , Huang et al (2018) , Lin et al (2020) , Sun et al (2021) , and Tian et al (2021) , the PMF and HR models were combined to assess the health risks associated with different emission sources through the following three steps: Step one: The source contributions to selected toxic elements levels are determined based on the PMF results as follows: where is the concentration of the j th element from the k th source in the i th sample (μg/m 3 ); denotes the contribution of the k th source to the i th sample (μg/m 3 ); and represents the mass fraction of the j th element for the k th source. Step two: The exposure doses of the selected toxic elements attributable to each source are calculated as follows: where is the average daily dose of the j th non-carcinogen from the k th source in the i th sample (mg/(kg·day)); is the average daily dose of the j th carcinogen from the k th source in the i th sample (mg/(kg·day)); and is the concentration of the j th toxic element from the k th source in the i th sample (mg/m 3 ).…”
Section: Methodsmentioning
confidence: 99%
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“…Industries were previously the pillar of the Guiyang economy (Xu et al 2016 ). Motor vehicle ownership has increased from 1.19 to 1.83 million, with increased petroleum PAH and HM emission (Stajic et al 2016 ; Sun et al 2021 ). Guiyang lies on the eastern Yunnan–Guizhou Plateau, and most parks are scattered over karst hill basins, which hinder the dispersion of atmospheric PAHs and HMs (Ma et al 2020 ).…”
Section: Resultsmentioning
confidence: 99%
“…(5) Because of the adverse effects of TEs on biogeochemical cycling in the ecosystem and the health of animals and human beings, health risk assessments should be addressed in the future. To fully assess the health impacts of TEs, it is crucial to develop exposure–response models for varied TEs separately or in aggregate, like the global exposure mortality models (GEMMs), to convert exposure to health consequences, rather than only indicating the magnitude of noncarcinogenic and carcinogenic risk. , Meanwhile, parameters that determine the physical and chemical properties of TEs in air quality and climate models, such as dry deposition, wet deposition, and Henry’s law constants, should be further explored to support long time series and refined exposure assessment. , …”
Section: Limitations and Future Perspectivesmentioning
confidence: 99%