Qing'E Sha
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Qing'E Sha has a total of 39 co-authors. Here are the top co-authors by number of shared publications:
Chuanzeng Zheng
Institute for Environmental and Climate Research, Jinan University, Guangzhou 511436, China
2 shared publications- Junyu Zheng
The Hong Kong University of Science and Technology (Guangzhou)
2 shared publications Xin Yuan
Institute for Environmental and Climate Research, College of Environment and Climate, Jinan University
2 shared publications- Zhijiong Huang
College of Environment and Climate, Institute for Environmental and Climate Research, Jinan University, Guangzhou, China
2 shared publications Anqi Wang
1 shared publicationBowen Shi
Institute for Environmental and Climate Research, Jinan University, Guangzhou 511436, China
1 shared publication
Latest Publications
- 18 December 2025
- Published by Elsevier in Journal of Cleaner Production
- Vol. 538
Vehicular VOC speciation dynamics under China's progressive emission standards: Mechanistic drivers from real-time monitoring
- 18 December 2025
- Published by Elsevier in Journal of Cleaner Production
- Vol. 538
Vehicular VOC speciation dynamics under China's progressive emission standards: Mechanistic drivers from real-time monitoring
- Open Access
- 25 August 2025
- Published by National Academy of Sciences in Proceedings of the National Academy of Sciences
- Vol. 122 (35)
Substantial reductions in black carbon from both fossil fuels and biomass burning during China’s Clean Air Action
Black carbon (BC) aerosols exacerbate air pollution and climate warming, but their climatic impacts and sources are poorly constrained by bottom–up emission inventories (EIs). China’s Clean Air Action (CAA), which was launched in 2013, provides an excellent opportunity for investigating interannual variations in source contributions and validate the accuracy of EIs. Here, we present an 11-y (2008–2018) record of the BC concentration and its source-diagnostic radiocarbon ( 14 C) and stable carbon isotope ( 13 C) signatures at a receptor site in the Pearl River Delta (PRD) region, South China. The results revealed that the implementation of the CAA (2014–2018) led to a 41% reduction in the BC concentration compared with that in the preaction period (2008–2013). There is a large and systemic discrepancy over the whole period in the contribution of biomass burning to BC in South China between predictions from technology-based EIs (4 to 9%) and these source-diagnostic dual-isotopic fingerprints of actual ambient aerosols (21 to 32%). Observational constraints by source-diagnostic δ 13 C/Δ 14 C isotope measurements revealed that the reduction in biomass burning contributed 22% to the decrease in BC associated with the CAA, whereas predictions from EIs assigned a much smaller fraction. These results emphasize the need for observation-based source diagnostics of changing BC emission sources. Detailed source apportionment using independent δ 13 C/Δ 14 C isotope methodology is crucial for refining air pollution control strategies and improving the accuracy of models used for assessing the air quality and climate effects of BC in China and elsewhere.
- 25 August 2025
- Published by National Academy of Sciences in Proceedings of the National Academy of Sciences
- Vol. 122 (35)
Open AccessSubstantial reductions in black carbon from both fossil fuels and biomass burning during China’s Clean Air Action
Black carbon (BC) aerosols exacerbate air pollution and climate warming, but their climatic impacts and sources are poorly constrained by bottom–up emission inventories (EIs). China’s Clean Air Action (CAA), which was launched in 2013, provides an excellent opportunity for investigating interannual variations in source contributions and validate the accuracy of EIs. Here, we present an 11-y (2008–2018) record of the BC concentration and its source-diagnostic radiocarbon ( 14 C) and stable carbon isotope ( 13 C) signatures at a receptor site in the Pearl River Delta (PRD) region, South China. The results revealed that the implementation of the CAA (2014–2018) led to a 41% reduction in the BC concentration compared with that in the preaction period (2008–2013). There is a large and systemic discrepancy over the whole period in the contribution of biomass burning to BC in South China between predictions from technology-based EIs (4 to 9%) and these source-diagnostic dual-isotopic fingerprints of actual ambient aerosols (21 to 32%). Observational constraints by source-diagnostic δ 13 C/Δ 14 C isotope measurements revealed that the reduction in biomass burning contributed 22% to the decrease in BC associated with the CAA, whereas predictions from EIs assigned a much smaller fraction. These results emphasize the need for observation-based source diagnostics of changing BC emission sources. Detailed source apportionment using independent δ 13 C/Δ 14 C isotope methodology is crucial for refining air pollution control strategies and improving the accuracy of models used for assessing the air quality and climate effects of BC in China and elsewhere.
- 13 September 2022
- Published by Elsevier in Journal of Environmental Sciences
- Vol. 123, 430-445
VOC emission caps constrained by air quality targets based on response surface model: A case study in the Pearl River Delta Region, China
- 13 September 2022
- Published by Elsevier in Journal of Environmental Sciences
- Vol. 123, 430-445
VOC emission caps constrained by air quality targets based on response surface model: A case study in the Pearl River Delta Region, China
- 22 February 2022
- Published by Elsevier in Journal of Environmental Sciences
- Vol. 114, 233-248
A meteorologically adjusted ensemble Kalman filter approach for inversing daily emissions: A case study in the Pearl River Delta, China
- 22 February 2022
- Published by Elsevier in Journal of Environmental Sciences
- Vol. 114, 233-248
A meteorologically adjusted ensemble Kalman filter approach for inversing daily emissions: A case study in the Pearl River Delta, China