Articles | Volume 23, issue 1
https://doi.org/10.5194/acp-23-711-2023
© Author(s) 2023. 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-23-711-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Estimation of biomass burning emission of NO2 and CO from 2019–2020 Australia fires based on satellite observations
Nenghan Wan
Department of Agronomy, Kansas State University, Manhattan, KS 66504, USA
Xiaozhen Xiong
NASA Langley Research Center, Hampton, VA 23618, USA
Gerard J. Kluitenberg
Department of Agronomy, Kansas State University, Manhattan, KS 66504, USA
J. M. Shawn Hutchinson
Department of Geography and Geospatial Sciences, Kansas State University, Manhattan, KS 66504, USA
Robert Aiken
Department of Agronomy, Kansas State University, Manhattan, KS 66504, USA
Haidong Zhao
Department of Agronomy, Kansas State University, Manhattan, KS 66504, USA
Xiaomao Lin
CORRESPONDING AUTHOR
Department of Agronomy, Kansas State University, Manhattan, KS 66504, USA
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Cited
12 citations as recorded by crossref.
- Assessment of the Emission Characteristics of Major States in the United States using Satellite Observations of CO2, CO, and NO2 A. Xu & C. Xiang 10.3390/atmos15010011
- CHANGES IN ATMOSPHERIC AIR POLLUTION AND FUEL COMBUSTION EFFICIENCY IN UKRAINIAN CITIES DUE TO MILITARY ACTIONS L. Nadtochii et al. 10.15407/Meteorology2023.04.004
- Global, regional and city scale changes in atmospheric NO₂ with environmental laws and policies S. Amritha et al. 10.1016/j.scs.2024.105617
- Estimating surface NO2 concentrations over Europe using Sentinel-5P TROPOMI observations and Machine Learning S. Shetty et al. 10.1016/j.rse.2024.114321
- Analysis and estimation of gaseous air pollutant emissions emitted into the atmosphere during Manavgat and Milas wildfire episodes using remote sensing data and ground measurements T. Çinar et al. 10.1007/s11869-023-01463-5
- Two decades of fire activity over the PEEX domain: a look from space, with contribution from models and ground-based measurements L. Sogacheva et al. 10.1080/20964471.2024.2316730
- Unveiling global land fine- and coarse-mode aerosol dynamics from 2005 to 2020 using enhanced satellite-based monthly inversion data N. Luo et al. 10.1016/j.envpol.2024.123838
- First-time calculation of the spatial distribution of concentration and air quality index over South Africa using TROPOMI data L. Shikwambana et al. 10.1080/10962247.2024.2369751
- Methods, Progress and Challenges in Global Monitoring of Carbon Emissions from Biomass Combustion G. Qu et al. 10.3390/atmos15101247
- Fire analysis using Sentinel-2 and Sentinel-5P data: Oil pipeline explosion near Strymba Village R. Chernysh & M. Stakh 10.69628/esbur/1.2024.09
- THE USE OF REMOTE SENSING OF ATMOSPHERIC COMPOSITION FOR BURNING EFFICIENCY ESTIMATION FOR UKRAINIAN TERRITORY V. Rybchynska & M. Savenets 10.17721/2306-5680.2023.2.5
- Propagation of NO2 originated in intense fires in the Paraná River Delta analyzed from satellite observations M. Binet et al. 10.1016/j.asr.2024.04.030
12 citations as recorded by crossref.
- Assessment of the Emission Characteristics of Major States in the United States using Satellite Observations of CO2, CO, and NO2 A. Xu & C. Xiang 10.3390/atmos15010011
- CHANGES IN ATMOSPHERIC AIR POLLUTION AND FUEL COMBUSTION EFFICIENCY IN UKRAINIAN CITIES DUE TO MILITARY ACTIONS L. Nadtochii et al. 10.15407/Meteorology2023.04.004
- Global, regional and city scale changes in atmospheric NO₂ with environmental laws and policies S. Amritha et al. 10.1016/j.scs.2024.105617
- Estimating surface NO2 concentrations over Europe using Sentinel-5P TROPOMI observations and Machine Learning S. Shetty et al. 10.1016/j.rse.2024.114321
- Analysis and estimation of gaseous air pollutant emissions emitted into the atmosphere during Manavgat and Milas wildfire episodes using remote sensing data and ground measurements T. Çinar et al. 10.1007/s11869-023-01463-5
- Two decades of fire activity over the PEEX domain: a look from space, with contribution from models and ground-based measurements L. Sogacheva et al. 10.1080/20964471.2024.2316730
- Unveiling global land fine- and coarse-mode aerosol dynamics from 2005 to 2020 using enhanced satellite-based monthly inversion data N. Luo et al. 10.1016/j.envpol.2024.123838
- First-time calculation of the spatial distribution of concentration and air quality index over South Africa using TROPOMI data L. Shikwambana et al. 10.1080/10962247.2024.2369751
- Methods, Progress and Challenges in Global Monitoring of Carbon Emissions from Biomass Combustion G. Qu et al. 10.3390/atmos15101247
- Fire analysis using Sentinel-2 and Sentinel-5P data: Oil pipeline explosion near Strymba Village R. Chernysh & M. Stakh 10.69628/esbur/1.2024.09
- THE USE OF REMOTE SENSING OF ATMOSPHERIC COMPOSITION FOR BURNING EFFICIENCY ESTIMATION FOR UKRAINIAN TERRITORY V. Rybchynska & M. Savenets 10.17721/2306-5680.2023.2.5
- Propagation of NO2 originated in intense fires in the Paraná River Delta analyzed from satellite observations M. Binet et al. 10.1016/j.asr.2024.04.030
Latest update: 09 Dec 2024
Short summary
This study used new TROPOMI measurements of NO2 and CO to characterize regional biomass burning characteristics and efficiency. We found that the NO2 / CO emission ratio was consistent with recent studies over temperate forest fires but slightly lower in savanna vegetation fires. Our results can help identify the relative contribution of smoldering and flaming activities as well as their impacts on the regional atmospheric composition and air quality.
This study used new TROPOMI measurements of NO2 and CO to characterize regional biomass burning...
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