Articles | Volume 17, issue 2
https://doi.org/10.5194/acp-17-921-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/acp-17-921-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Resolution dependence of uncertainties in gridded emission inventories: a case study in Hebei, China
State Key Joint Laboratory of Environment Simulation and Pollution
Control, School of Environment, Tsinghua University, Beijing 100084, China
Qiang Zhang
CORRESPONDING AUTHOR
Ministry of Education Key Laboratory for Earth System Modeling,
Department of Earth System Science, Tsinghua University, Beijing 100084,
China
Dan Tong
Ministry of Education Key Laboratory for Earth System Modeling,
Department of Earth System Science, Tsinghua University, Beijing 100084,
China
Chuchu Chen
Ministry of Education Key Laboratory for Earth System Modeling,
Department of Earth System Science, Tsinghua University, Beijing 100084,
China
Chaopeng Hong
Ministry of Education Key Laboratory for Earth System Modeling,
Department of Earth System Science, Tsinghua University, Beijing 100084,
China
Ministry of Education Key Laboratory for Earth System Modeling,
Department of Earth System Science, Tsinghua University, Beijing 100084,
China
Guannan Geng
Ministry of Education Key Laboratory for Earth System Modeling,
Department of Earth System Science, Tsinghua University, Beijing 100084,
China
Yu Lei
The Atmospheric Environment Department, Chinese Academy for
Environmental Planning, Beijing 100012, China
Hong Huo
Institute of Energy, Environment and Economy, Tsinghua University,
Beijing 100084, China
Kebin He
CORRESPONDING AUTHOR
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
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76 citations as recorded by crossref.
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- Province-level fossil fuel CO2 emission estimates for China based on seven inventories P. Han et al. 10.1016/j.jclepro.2020.123377
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76 citations as recorded by crossref.
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- Dominant role of emission reduction in PM<sub>2.5</sub> air quality improvement in Beijing during 2013–2017: a model-based decomposition analysis J. Cheng et al. 10.5194/acp-19-6125-2019
- Spatio-Temporal Variations of Multiple Primary Air Pollutants Emissions in Beijing of China, 2006–2015 Y. Xue et al. 10.3390/atmos10090494
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- Satellite-based estimates of decline and rebound in China’s CO 2 emissions during COVID-19 pandemic B. Zheng et al. 10.1126/sciadv.abd4998
- Province-level fossil fuel CO2 emission estimates for China based on seven inventories P. Han et al. 10.1016/j.jclepro.2020.123377
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- Air quality and health benefits from ultra-low emission control policy indicated by continuous emission monitoring: a case study in the Yangtze River Delta region, China Y. Zhang et al. 10.5194/acp-21-6411-2021
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- The effect of recent controls on emissions and aerosol pollution at city scale: A case study for Nanjing, China Y. Zhao et al. 10.1016/j.atmosenv.2020.118080
- First High-Resolution Emission Inventory of Levoglucosan for Biomass Burning and Non-Biomass Burning Sources in China J. Wu et al. 10.1021/acs.est.0c06675
- Updating emission inventories for vehicular organic gases: Indications from cold-start and temperature effects on advanced technology cars Z. Zhang et al. 10.1016/j.scitotenv.2023.163544
- Observing carbon dioxide emissions over China's cities and industrial areas with the Orbiting Carbon Observatory-2 B. Zheng et al. 10.5194/acp-20-8501-2020
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- Update of SO2 emission inventory in the Megacity of Chongqing, China by inverse modeling X. Feng et al. 10.1016/j.atmosenv.2022.119519
- Spatial distribution of residential wood combustion emissions in the Nordic countries: How well national inventories represent local emissions? V. Paunu et al. 10.1016/j.atmosenv.2021.118712
- A novel method for spatial allocation of volatile chemical products emissions: A case study of the Pearl River Delta Z. Cai et al. 10.1016/j.atmosenv.2023.120119
- Street-scale air quality modelling for Beijing during a winter 2016 measurement campaign M. Biggart et al. 10.5194/acp-20-2755-2020
- Evaluation of modeling NO<sub>2</sub> concentrations driven by satellite-derived and bottom-up emission inventories using in situ measurements over China F. Liu et al. 10.5194/acp-18-4171-2018
- Considerable Unaccounted Local Sources of NOx Emissions in China Revealed from Satellite H. Kong et al. 10.1021/acs.est.1c07723
- Evaluating China's fossil-fuel CO<sub>2</sub> emissions from a comprehensive dataset of nine inventories P. Han et al. 10.5194/acp-20-11371-2020
- Development of a high-resolution integrated emission inventory of air pollutants for China N. Wu et al. 10.5194/essd-16-2893-2024
- A Regional multi-Air Pollutant Assimilation System (RAPAS v1.0) for emission estimates: system development and application S. Feng et al. 10.5194/gmd-16-5949-2023
- Statistical Emulation of Winter Ambient Fine Particulate Matter Concentrations From Emission Changes in China L. Conibear et al. 10.1029/2021GH000391
- Comparison of Current and Future PM2.5 Air Quality in China Under CMIP6 and DPEC Emission Scenarios J. Cheng et al. 10.1029/2021GL093197
- A two-way coupled regional urban–street network air quality model system for Beijing, China T. Wang et al. 10.5194/gmd-16-5585-2023
- Development of water basin pollution emission inventory: a preliminary literature review and Its implication for China S. Zhao et al. 10.2166/aqua.2020.071
- Optimized environmental justice calculations for air pollution disparities in Southern California Y. Li et al. 10.1016/j.heliyon.2022.e10732
- Mapping anthropogenic emissions in China at 1 km spatial resolution and its application in air quality modeling B. Zheng et al. 10.1016/j.scib.2020.12.008
- A new prediction method of industrial atmospheric pollutant emission intensity based on pollutant emission standard quantification T. Ju et al. 10.1007/s11783-023-1608-1
- Downscaling global anthropogenic emissions for high-resolution urban air quality studies V. Valencia et al. 10.1016/j.apr.2022.101516
- Surface–atmosphere fluxes of volatile organic compounds in Beijing W. Acton et al. 10.5194/acp-20-15101-2020
- An Observational Constraint of VOC Emissions for Air Quality Modeling Study in the Pearl River Delta Region B. Zhou et al. 10.1029/2022JD038122
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Latest update: 16 Aug 2024
Short summary
The resolution dependence of uncertainties in proxy-based gridded inventories can be explained by the decoupling of emission facility locations from spatial proxies on fine scales. We conclude that proxy-based inventories are of sufficient quality to support regional and global models (larger than 0.25° in this case study); however, to support urban-scale models with accurate emission inputs, bottom-up inventories incorporating exact locations of emitting facilities have to be developed instead.
The resolution dependence of uncertainties in proxy-based gridded inventories can be explained...
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