Online monitoring of carbonaceous aerosols in a northern Chinese city: Temporal variations, main drivers, and health risks
This study examined the variability and source of carbonaceous aerosols, encompassing total carbon (TC), organic carbon (OC), and secondary organic carbon (SOC) for the years 2019–2020, as well as equivalent black carbon (eBC) and equivalent ultraviolet BC (eUVBC) data spanning 2019–2022, in the context of a typical northern Chinese city: Yanzhou. Averaged concentrations of TC, OC, SOC, eBC, eUVBC, and the ratio (OC/elemental carbon (EC)) reached 11.1 ± 6.7, 8.9 ± 5.1, 3.9 ± 2.0, 3.1 ± 1.3, and 4.3 ± 2.4 μg/m3, and 5.0 ± 2.2, respectively. The concentrations of TC, OC, eBC, and eUVBC were higher in winter, followed by spring and autumn, and summer, while SOC presented the opposite seasonal patterns. The diurnal variations of TC, OC, eBC, and eUVBC exhibited a bimodal pattern with peaks in the early morning (08:00–09:00 LT) and late evening (00:00–01:00 LT) and a trough in the afternoon (14:00–16:00 LT), pointing to vehicular emission and meteorological dispersion as major drivers of the hourly variability. The results obtained from the EC tracer method and minimum R squared (MRS) revealed that r(SOC/OC) were highest in summer (60%) and lowest in winter (26%), showing a fast summer photochemical oxidation of volatile organic compounds (VOCs) that generate SOC. In this study, the influence of meteorological conditions on the weighting of diverse carbonaceous aerosols was quantified using a machine learning method. Results showed that the main drivers of carbonaceous aerosols were height of the planetary boundary layer (HPBL), ambient temperature (AT), relative humidity (RH), and atmospheric pressure (AP) in all seasons. Additionally, the potential health risks of eBC based on the equivalent passive smoking of cigarettes (PSC) suggested that there was a certain level of human health risk in this city. The obtained results will provide more in-depth and comprehensive understanding of carbonaceous aerosol pollution and management strategies.
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Elsevier
2024-01-01
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Subjects: | Organic carbon, Black carbon, Carbonaceous aerosols, Health risk assessment, http://metadata.un.org/sdg/3, Ensure healthy lives and promote well-being for all at all ages, |
Online Access: | http://hdl.handle.net/10261/338805 http://dx.doi.org/10.13039/501100000780 https://api.elsevier.com/content/abstract/scopus_id/85175562008 |
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dig-idaea-es-10261-3388052024-10-27T22:05:04Z Online monitoring of carbonaceous aerosols in a northern Chinese city: Temporal variations, main drivers, and health risks Liu, Xiansheng Zhang, Xun Jin, Bowen Hadiatullah, Hadiatullah Zhang, Luyao Zhang, Pei Wang, Tao Deng, Qihong Querol, Xavier European Commission 0000-0002-1454-9067 0000-0001-9137-5243 Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] Organic carbon Black carbon Carbonaceous aerosols Health risk assessment http://metadata.un.org/sdg/3 Ensure healthy lives and promote well-being for all at all ages This study examined the variability and source of carbonaceous aerosols, encompassing total carbon (TC), organic carbon (OC), and secondary organic carbon (SOC) for the years 2019–2020, as well as equivalent black carbon (eBC) and equivalent ultraviolet BC (eUVBC) data spanning 2019–2022, in the context of a typical northern Chinese city: Yanzhou. Averaged concentrations of TC, OC, SOC, eBC, eUVBC, and the ratio (OC/elemental carbon (EC)) reached 11.1 ± 6.7, 8.9 ± 5.1, 3.9 ± 2.0, 3.1 ± 1.3, and 4.3 ± 2.4 μg/m3, and 5.0 ± 2.2, respectively. The concentrations of TC, OC, eBC, and eUVBC were higher in winter, followed by spring and autumn, and summer, while SOC presented the opposite seasonal patterns. The diurnal variations of TC, OC, eBC, and eUVBC exhibited a bimodal pattern with peaks in the early morning (08:00–09:00 LT) and late evening (00:00–01:00 LT) and a trough in the afternoon (14:00–16:00 LT), pointing to vehicular emission and meteorological dispersion as major drivers of the hourly variability. The results obtained from the EC tracer method and minimum R squared (MRS) revealed that r(SOC/OC) were highest in summer (60%) and lowest in winter (26%), showing a fast summer photochemical oxidation of volatile organic compounds (VOCs) that generate SOC. In this study, the influence of meteorological conditions on the weighting of diverse carbonaceous aerosols was quantified using a machine learning method. Results showed that the main drivers of carbonaceous aerosols were height of the planetary boundary layer (HPBL), ambient temperature (AT), relative humidity (RH), and atmospheric pressure (AP) in all seasons. Additionally, the potential health risks of eBC based on the equivalent passive smoking of cigarettes (PSC) suggested that there was a certain level of human health risk in this city. The obtained results will provide more in-depth and comprehensive understanding of carbonaceous aerosol pollution and management strategies. This study is supported by the RI-URBANS project (Research Infrastructures Services Reinforcing Air Quality Monitoring Capacities in European Urban & Industrial Areas, European Union's Horizon 2020 research and innovation program, Green Deal, European Commission, contract 101036245). This study is also supported by National Natural Science Foundation of China (42101470, 72242106, 42205099), Xinjiang Autonomous Region Social Science Foundation Project (2023BTY128) and China Postdoctoral Science Foundation (2021M700792), Project of Natural Science Foundation of Xinjiang Uygur Autonomous Region (2023D01A57), and in part by the Chunhui Project Foundation of the Education Department of China under Grant HZKY20220053. Peer reviewed 2023-11-13T08:05:13Z 2023-11-13T08:05:13Z 2024-01-01 artículo http://purl.org/coar/resource_type/c_6501 Atmospheric Environment 316: 120169 (2023) 13522310 http://hdl.handle.net/10261/338805 10.1016/j.atmosenv.2023.120169 http://dx.doi.org/10.13039/501100000780 2-s2.0-85175562008 https://api.elsevier.com/content/abstract/scopus_id/85175562008 en #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/EC/H2020/101036245 Atmospheric Environment Postprint https://doi.org/10.1016/j.atmosenv.2023.120169 Sí open Elsevier |
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Organic carbon Black carbon Carbonaceous aerosols Health risk assessment http://metadata.un.org/sdg/3 Ensure healthy lives and promote well-being for all at all ages Organic carbon Black carbon Carbonaceous aerosols Health risk assessment http://metadata.un.org/sdg/3 Ensure healthy lives and promote well-being for all at all ages |
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Organic carbon Black carbon Carbonaceous aerosols Health risk assessment http://metadata.un.org/sdg/3 Ensure healthy lives and promote well-being for all at all ages Organic carbon Black carbon Carbonaceous aerosols Health risk assessment http://metadata.un.org/sdg/3 Ensure healthy lives and promote well-being for all at all ages Liu, Xiansheng Zhang, Xun Jin, Bowen Hadiatullah, Hadiatullah Zhang, Luyao Zhang, Pei Wang, Tao Deng, Qihong Querol, Xavier Online monitoring of carbonaceous aerosols in a northern Chinese city: Temporal variations, main drivers, and health risks |
description |
This study examined the variability and source of carbonaceous aerosols, encompassing total carbon (TC), organic carbon (OC), and secondary organic carbon (SOC) for the years 2019–2020, as well as equivalent black carbon (eBC) and equivalent ultraviolet BC (eUVBC) data spanning 2019–2022, in the context of a typical northern Chinese city: Yanzhou. Averaged concentrations of TC, OC, SOC, eBC, eUVBC, and the ratio (OC/elemental carbon (EC)) reached 11.1 ± 6.7, 8.9 ± 5.1, 3.9 ± 2.0, 3.1 ± 1.3, and 4.3 ± 2.4 μg/m3, and 5.0 ± 2.2, respectively. The concentrations of TC, OC, eBC, and eUVBC were higher in winter, followed by spring and autumn, and summer, while SOC presented the opposite seasonal patterns. The diurnal variations of TC, OC, eBC, and eUVBC exhibited a bimodal pattern with peaks in the early morning (08:00–09:00 LT) and late evening (00:00–01:00 LT) and a trough in the afternoon (14:00–16:00 LT), pointing to vehicular emission and meteorological dispersion as major drivers of the hourly variability. The results obtained from the EC tracer method and minimum R squared (MRS) revealed that r(SOC/OC) were highest in summer (60%) and lowest in winter (26%), showing a fast summer photochemical oxidation of volatile organic compounds (VOCs) that generate SOC. In this study, the influence of meteorological conditions on the weighting of diverse carbonaceous aerosols was quantified using a machine learning method. Results showed that the main drivers of carbonaceous aerosols were height of the planetary boundary layer (HPBL), ambient temperature (AT), relative humidity (RH), and atmospheric pressure (AP) in all seasons. Additionally, the potential health risks of eBC based on the equivalent passive smoking of cigarettes (PSC) suggested that there was a certain level of human health risk in this city. The obtained results will provide more in-depth and comprehensive understanding of carbonaceous aerosol pollution and management strategies. |
author2 |
European Commission |
author_facet |
European Commission Liu, Xiansheng Zhang, Xun Jin, Bowen Hadiatullah, Hadiatullah Zhang, Luyao Zhang, Pei Wang, Tao Deng, Qihong Querol, Xavier |
format |
artículo |
topic_facet |
Organic carbon Black carbon Carbonaceous aerosols Health risk assessment http://metadata.un.org/sdg/3 Ensure healthy lives and promote well-being for all at all ages |
author |
Liu, Xiansheng Zhang, Xun Jin, Bowen Hadiatullah, Hadiatullah Zhang, Luyao Zhang, Pei Wang, Tao Deng, Qihong Querol, Xavier |
author_sort |
Liu, Xiansheng |
title |
Online monitoring of carbonaceous aerosols in a northern Chinese city: Temporal variations, main drivers, and health risks |
title_short |
Online monitoring of carbonaceous aerosols in a northern Chinese city: Temporal variations, main drivers, and health risks |
title_full |
Online monitoring of carbonaceous aerosols in a northern Chinese city: Temporal variations, main drivers, and health risks |
title_fullStr |
Online monitoring of carbonaceous aerosols in a northern Chinese city: Temporal variations, main drivers, and health risks |
title_full_unstemmed |
Online monitoring of carbonaceous aerosols in a northern Chinese city: Temporal variations, main drivers, and health risks |
title_sort |
online monitoring of carbonaceous aerosols in a northern chinese city: temporal variations, main drivers, and health risks |
publisher |
Elsevier |
publishDate |
2024-01-01 |
url |
http://hdl.handle.net/10261/338805 http://dx.doi.org/10.13039/501100000780 https://api.elsevier.com/content/abstract/scopus_id/85175562008 |
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