Articles | Volume 16, issue 6
https://doi.org/10.5194/essd-16-2893-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-2893-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
21 Jun 2024
Data description paper |
| 21 Jun 2024
| 21 Jun 2024
Development of a high-resolution integrated emission inventory of air pollutants for China
Nana Wu
Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China
State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
Ruochong Xu
Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China
Shigan Liu
Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China
Xiaodong Liu
State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
Qinren Shi
State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
Ying Zhou
Key Laboratory of Beijing on Regional Air Pollution Control, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China
Yu Zhao
State Key Laboratory of Pollution Control and Resource Reuse and School of the Environment, Nanjing University, 163 Xianlin Rd., Nanjing, Jiangsu 210023, China
State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
Yu Song
State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
Junyu Zheng
Sustainable Energy and Environmental Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou 511458, China
Qiang Zhang
Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China
Kebin He
State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
Institute for Carbon Neutrality, Tsinghua University, Beijing 100084, China
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14 citations as recorded by crossref.
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- Study of the coupling effect of CO2 and PM2.5 emissions: A case study of yangtze river delta, China W. Chung & C. Liu 10.1016/j.heliyon.2024.e41616
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- Impacts of land use/cover changes on local meteorology and air quality in the Yangtze River Delta region of China (2001–2021) Y. Wang et al. 10.1016/j.jes.2025.07.021
- Early springtime O3 pollution episode in the Sichuan Basin: Transboundary and process analysis J. Wang et al. 10.1016/j.envpol.2025.126163
- Quantifying the major sources of nitrate in PM2.5 in a port city in southeastern China: Perspectives from nitrate dual isotopes and NOx emission inventory Q. Miao et al. 10.1016/j.apr.2025.102597
- Carbon and air pollutant emission dynamics of small-scale industrial sectors based on CEMS: a case of tobacco curing industry S. Chen et al. 10.1016/j.envpol.2025.126427
- Identifying missing sources and reducing NOx emissions uncertainty over China using daily satellite data and a mass-conserving method L. Lu et al. 10.5194/acp-25-2291-2025
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- County-level air pollutant mitigation from China’s staple crop production Y. Liu et al. 10.1016/j.resconrec.2025.108415
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- Development of a high-resolution integrated emission inventory of air pollutants for China N. Wu et al. 10.5194/essd-16-2893-2024
13 citations as recorded by crossref.
- Refined source apportionment of nitrate aerosols based on isotopes and emission inventories in coastal city of northern China Y. Ni et al. 10.1016/j.scitotenv.2024.177388
- Study of the coupling effect of CO2 and PM2.5 emissions: A case study of yangtze river delta, China W. Chung & C. Liu 10.1016/j.heliyon.2024.e41616
- Investigations of spatial-temporal distribution and regional transport in typical section of NO2 in eastern China using Mobile-DOAS Z. Zhang et al. 10.1016/j.scitotenv.2025.179174
- Seasonal characteristics on the ammonia emissions of a typical large-scale pig farm in the Yangtze River Delta, China N. Shan et al. 10.1016/j.aeaoa.2025.100354
- Impacts of land use/cover changes on local meteorology and air quality in the Yangtze River Delta region of China (2001–2021) Y. Wang et al. 10.1016/j.jes.2025.07.021
- Early springtime O3 pollution episode in the Sichuan Basin: Transboundary and process analysis J. Wang et al. 10.1016/j.envpol.2025.126163
- Quantifying the major sources of nitrate in PM2.5 in a port city in southeastern China: Perspectives from nitrate dual isotopes and NOx emission inventory Q. Miao et al. 10.1016/j.apr.2025.102597
- Carbon and air pollutant emission dynamics of small-scale industrial sectors based on CEMS: a case of tobacco curing industry S. Chen et al. 10.1016/j.envpol.2025.126427
- Identifying missing sources and reducing NOx emissions uncertainty over China using daily satellite data and a mass-conserving method L. Lu et al. 10.5194/acp-25-2291-2025
- Fine particulate matter pollution in the Sichuan Basin of China from 2013 to 2020: Sources, emissions, and mortality burden X. Yang et al. 10.1016/j.envint.2025.109366
- Development of a high-resolution integrated emission inventory of air pollutants for China N. Wu et al. 10.5194/essd-16-2893-2024
- County-level air pollutant mitigation from China’s staple crop production Y. Liu et al. 10.1016/j.resconrec.2025.108415
- Downscaling NOx emission into 1 km resolution over a typical mega-city based on POI with machine learning method Z. Yang et al. 10.1088/2515-7620/ade7d8
1 citations as recorded by crossref.
Latest update: 12 Aug 2025
Short summary
The commonly used method for developing large-scale air pollutant emission datasets for China faces challenges due to limited availability of detailed parameter information. In this study, we develop an efficient integrated framework to gather such information by harmonizing seven heterogeneous inventories from five research institutions. Emission characterizations are analyzed and validated, demonstrating that the dataset provides more accurate emission magnitudes and spatiotemporal patterns.
The commonly used method for developing large-scale air pollutant emission datasets for China...
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