Articles | Volume 14, issue 12
https://doi.org/10.5194/gmd-14-7621-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-7621-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
16 Dec 2021
Model description paper |
| 16 Dec 2021
| 16 Dec 2021
Reduced-complexity air quality intervention modeling over China: the development of InMAPv1.6.1-China and a comparison with CMAQv5.2
Ruili Wu
CORRESPONDING AUTHOR
Ministry of Education Key Laboratory for Earth System Modeling,
Department of Earth System Science, Tsinghua University, Beijing 100084, China
State Environmental Protection Key Laboratory of Quality Control in
Environmental Monitoring, China National Environmental Monitoring Centre,
Beijing 100012, China
Christopher W. Tessum
Department of Civil and Environmental Engineering, the University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
Yang Zhang
Department of Civil and Environmental Engineering, Northeastern
University, Boston, Massachusetts 02115, USA
Chaopeng Hong
Institute of Environment and Ecology, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
Yixuan Zheng
Center of Air Quality Simulation and System Analysis, Chinese Academy of Environmental Planning, Beijing 100012, China
Xinyin Qin
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
Qiang Zhang
Ministry of Education Key Laboratory for Earth System Modeling,
Department of Earth System Science, Tsinghua University, Beijing 100084, China
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Cited
13 citations as recorded by crossref.
- Environmental Justice and Systems Analysis for Air Quality Planning in the Port of Oakland in California F. Greer et al. 10.1021/acs.est.3c07728
- Reduced-form and complex ACTM modelling for air quality policy development: A model inter-comparison T. Oxley et al. 10.1016/j.envint.2022.107676
- Reduced-complexity air quality intervention modeling over China: the development of InMAPv1.6.1-China and a comparison with CMAQv5.2 R. Wu et al. 10.5194/gmd-14-7621-2021
- Reduced-Form and Complex Actm Modelling for Air Quality Policy Development: A Model Inter-Comparison T. Oxley et al. 10.2139/ssrn.4158187
- Accelerating China’s power sector decarbonization can save lives: integrating public health goals into power sector planning decisions Q. Luo et al. 10.1088/1748-9326/acf84b
- The Health and Climate Benefits of Economic Dispatch in China’s Power System Q. Luo et al. 10.1021/acs.est.2c05663
- Achieving an 80% carbon-free electricity system in China by 2035 N. Abhyankar et al. 10.1016/j.isci.2022.105180
- Air pollution health burden embodied in China's supply chains H. Zhao et al. 10.1016/j.ese.2023.100264
- Regional disparities in health and employment outcomes of China’s transition to a low-carbon electricity system H. Yang et al. 10.1088/2753-3751/ad3bb8
- Achieving an 80% Carbon Free Electricity System in China by 2035 N. Abhyankar et al. 10.2139/ssrn.4108217
- Trade-driven changes in China's air pollutant emissions during 2012–2017 W. He et al. 10.1016/j.scitotenv.2023.162659
- Accurate prediction of air quality response to emissions for effective control policy design M. Cao et al. 10.1016/j.jes.2022.02.009
- Black Carbon Emissions and Associated Health Impacts of Gas Flaring in the United States C. Chen et al. 10.3390/atmos13030385
13 citations as recorded by crossref.
- Environmental Justice and Systems Analysis for Air Quality Planning in the Port of Oakland in California F. Greer et al. 10.1021/acs.est.3c07728
- Reduced-form and complex ACTM modelling for air quality policy development: A model inter-comparison T. Oxley et al. 10.1016/j.envint.2022.107676
- Reduced-complexity air quality intervention modeling over China: the development of InMAPv1.6.1-China and a comparison with CMAQv5.2 R. Wu et al. 10.5194/gmd-14-7621-2021
- Reduced-Form and Complex Actm Modelling for Air Quality Policy Development: A Model Inter-Comparison T. Oxley et al. 10.2139/ssrn.4158187
- Accelerating China’s power sector decarbonization can save lives: integrating public health goals into power sector planning decisions Q. Luo et al. 10.1088/1748-9326/acf84b
- The Health and Climate Benefits of Economic Dispatch in China’s Power System Q. Luo et al. 10.1021/acs.est.2c05663
- Achieving an 80% carbon-free electricity system in China by 2035 N. Abhyankar et al. 10.1016/j.isci.2022.105180
- Air pollution health burden embodied in China's supply chains H. Zhao et al. 10.1016/j.ese.2023.100264
- Regional disparities in health and employment outcomes of China’s transition to a low-carbon electricity system H. Yang et al. 10.1088/2753-3751/ad3bb8
- Achieving an 80% Carbon Free Electricity System in China by 2035 N. Abhyankar et al. 10.2139/ssrn.4108217
- Trade-driven changes in China's air pollutant emissions during 2012–2017 W. He et al. 10.1016/j.scitotenv.2023.162659
- Accurate prediction of air quality response to emissions for effective control policy design M. Cao et al. 10.1016/j.jes.2022.02.009
- Black Carbon Emissions and Associated Health Impacts of Gas Flaring in the United States C. Chen et al. 10.3390/atmos13030385
Latest update: 04 Feb 2025
Short summary
Reduced-complexity air quality models are less computationally intensive and easier to use. We developed a reduced-complexity air quality Intervention Model for Air Pollution over China (InMAP-China) to rapidly predict the air quality and estimate the health impacts of emission sources in China. We believe that this work will be of great interest to a broad audience, including environmentalists in China and scientists in relevant fields at both national and local institutes.
Reduced-complexity air quality models are less computationally intensive and easier to use. We...
