Articles | Volume 22, issue 13
https://doi.org/10.5194/acp-22-9099-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-22-9099-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Estimation of surface ammonia concentrations and emissions in China from the polar-orbiting Infrared Atmospheric Sounding Interferometer and the FY-4A Geostationary Interferometric Infrared Sounder
Pu Liu
College of Earth and Environmental Sciences, Lanzhou University,
Lanzhou 730000, China
Jia Ding
College of Earth and Environmental Sciences, Lanzhou University,
Lanzhou 730000, China
Lei Liu
CORRESPONDING AUTHOR
College of Earth and Environmental Sciences, Lanzhou University,
Lanzhou 730000, China
College of Resources and Environmental Sciences, Center for
Resources, Environment and Food Security, Key Laboratory of Plant-Soil
Interactions, Ministry of Education, China Agricultural University, Beijing 100193, China
Xuejun Liu
College of Resources and Environmental Sciences, Center for
Resources, Environment and Food Security, Key Laboratory of Plant-Soil
Interactions, Ministry of Education, China Agricultural University, Beijing 100193, China
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Cited
14 citations as recorded by crossref.
- Summertime Urban Ammonia Emissions May Be Substantially Underestimated in Beijing, China J. Xu et al. 10.1021/acs.est.3c05266
- Trends in anthropogenic ammonia emissions in China since 1980: A review of approaches and estimations J. Chen et al. 10.3389/fenvs.2023.1133753
- Drivers for the trends of atmospheric inorganic nitrogen deposition in China under the past and future scenarios Z. Zhang et al. 10.1016/j.atmosenv.2025.121221
- Impact of interannual weather variation on ammonia emissions and concentrations in Germany X. Ge et al. 10.1016/j.agrformet.2023.109432
- Estimation of Ammonia Emissions over China Using IASI Satellite-Derived Surface Observations J. Chen et al. 10.1021/acs.est.4c10878
- Separating Daily 1 km PM2.5 Inorganic Chemical Composition in China since 2000 via Deep Learning Integrating Ground, Satellite, and Model Data J. Wei et al. 10.1021/acs.est.3c00272
- Significantly underestimated traffic-related ammonia emissions in Chinese megacities: Evidence from satellite observations during COVID-19 lockdowns P. Chen et al. 10.1016/j.chemosphere.2024.142497
- The Evolution of Global Surface Ammonia Concentrations during 2001–2019: Magnitudes, Patterns, and Drivers J. Ma et al. 10.1021/acs.est.4c14020
- Traceability of atmospheric ammonia in a suburban area of the Beijing-Tianjin-Hebei region L. Peng et al. 10.1016/j.scitotenv.2023.167935
- The Potential of Monitoring Carbon Dioxide Emission in a Geostationary View with the GIIRS Meteorological Hyperspectral Infrared Sounder Q. Zhang et al. 10.3390/rs15040886
- Near-infrared Real-Time trace NH3 sensor based on WM-OA-ICOS and EEMD Assisted optical denoising G. Li et al. 10.1016/j.measurement.2025.116658
- Tailoring the surface acidity of catalyst to enhance nonthermal plasma-assisted ammonia synthesis rates A. Bajpai & S. Kumar 10.1016/j.mcat.2024.113961
- A decadal atmospheric ammonia reanalysis product in China B. Xu et al. 10.1016/j.scitotenv.2023.169053
- Atmospheric reduced nitrogen: Sources, transformations, effects, and management C. Driscoll et al. 10.1080/10962247.2024.2342765
14 citations as recorded by crossref.
- Summertime Urban Ammonia Emissions May Be Substantially Underestimated in Beijing, China J. Xu et al. 10.1021/acs.est.3c05266
- Trends in anthropogenic ammonia emissions in China since 1980: A review of approaches and estimations J. Chen et al. 10.3389/fenvs.2023.1133753
- Drivers for the trends of atmospheric inorganic nitrogen deposition in China under the past and future scenarios Z. Zhang et al. 10.1016/j.atmosenv.2025.121221
- Impact of interannual weather variation on ammonia emissions and concentrations in Germany X. Ge et al. 10.1016/j.agrformet.2023.109432
- Estimation of Ammonia Emissions over China Using IASI Satellite-Derived Surface Observations J. Chen et al. 10.1021/acs.est.4c10878
- Separating Daily 1 km PM2.5 Inorganic Chemical Composition in China since 2000 via Deep Learning Integrating Ground, Satellite, and Model Data J. Wei et al. 10.1021/acs.est.3c00272
- Significantly underestimated traffic-related ammonia emissions in Chinese megacities: Evidence from satellite observations during COVID-19 lockdowns P. Chen et al. 10.1016/j.chemosphere.2024.142497
- The Evolution of Global Surface Ammonia Concentrations during 2001–2019: Magnitudes, Patterns, and Drivers J. Ma et al. 10.1021/acs.est.4c14020
- Traceability of atmospheric ammonia in a suburban area of the Beijing-Tianjin-Hebei region L. Peng et al. 10.1016/j.scitotenv.2023.167935
- The Potential of Monitoring Carbon Dioxide Emission in a Geostationary View with the GIIRS Meteorological Hyperspectral Infrared Sounder Q. Zhang et al. 10.3390/rs15040886
- Near-infrared Real-Time trace NH3 sensor based on WM-OA-ICOS and EEMD Assisted optical denoising G. Li et al. 10.1016/j.measurement.2025.116658
- Tailoring the surface acidity of catalyst to enhance nonthermal plasma-assisted ammonia synthesis rates A. Bajpai & S. Kumar 10.1016/j.mcat.2024.113961
- A decadal atmospheric ammonia reanalysis product in China B. Xu et al. 10.1016/j.scitotenv.2023.169053
- Atmospheric reduced nitrogen: Sources, transformations, effects, and management C. Driscoll et al. 10.1080/10962247.2024.2342765
Latest update: 06 Jun 2025
Short summary
Ammonia (NH3) is the important alkaline gas and the key component of fine particulate matter. We used satellite-based observations to analyze the changes in hourly NH3 concentrations and estimated surface NH3 concentrations and NH3 emissions in China. This study shows enormous potential for using satellite data to estimate surface NH3 concentrations and NH3 emissions and provides an important reference for understanding NH3 variation in China.
Ammonia (NH3) is the important alkaline gas and the key component of fine particulate matter. We...
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