Ground-level gaseous pollutants (NO2, SO2, and CO) in China: daily seamless mapping and spatiotemporal variations

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Abstract 2, SO2, and CO, across China from 2013 to 2020 at a uniform spatial resolution of 10 km. Cross-validation between our estimates and ground observations illustrated a high data quality on a daily basis for surface NO2, SO2, and CO concentrations, with mean coefficients of determination (root-mean-square errors) of 0.84 (7.99 µ g m- 3 µ g m- 3 - 3 2 and NO2 rebounded more than 2 times slower due to more CO emissions from residents' increased indoor cooking and atmospheric oxidation capacity. Surface NO2, SO2, and CO reached their peak annual concentrations of 21.3 ± µ g m- 3 ± µ g m- 3 ± - 3 2 in eastern China, while surface SO2 and CO have almost reached the World Health Organization (WHO) recommended short-term air quality guidelines (AQG) level since 2018, benefiting from the implemented stricter “ultra-low” emission standards. This reconstructed dataset of surface gaseous pollutants will benefit future (especially short-term) air pollution and environmental health-related studies.

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: Ground-level gaseous pollutants (NO₂, SO₂, and CO) in China: daily seamless mapping and spatiotemporal variations ; volume:23 ; number:2 ; year:2023 ; pages:1511-1532 ; extent:22
Atmospheric chemistry and physics ; 23, Heft 2 (2023), 1511-1532 (gesamt 22)

Classification: Soziale Probleme, Sozialdienste, Versicherungen

Creator: Wei, Jing
Li, Zhanqing
Wang, Jun
Li, Can
Gupta, Pawan
Cribb, Maureen

DOI: 10.5194/acp-23-1511-2023

URN: urn:nbn:de:101:1-2023033008031584832152

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:48 AM CEST

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Wei, Jing
Li, Zhanqing
Wang, Jun
Li, Can
Gupta, Pawan
Cribb, Maureen

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Ground-level gaseous pollutants (NO<sub>2</sub>, SO<sub>2</sub>, and CO) in China: daily seamless mapping and spatiotemporal variations

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