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- 2023JD039309 type article assertion.
- 2023JD039309 type FAIRDigitalObject assertion.
- 2023JD039309 label "Emission Factors for Crop Residue and Prescribed Fires in the Eastern US During FIREX-AQ" assertion.
- 2023JD039309 comment "Crop residue and prescribed fires emit pollution that impacts air quality. FIREX-AQ provided observations of these emissions to better characterize their variability with a detailed set of chemical observations. These observations showed significant differences in the emissions from burning different crops (corn, rice, soybean, wheat) compared to other prescribed fires or grasslands that may be due to differences in the fuel composition, the use of agricultural chemicals, and moisture levels. Overall, FIREX-AQ observations for crop residue fires compared better with previous results in the region than with globally averaged information. The campaign observed even greater variability across EFs than previous studies, suggesting that new methods must be developed to take this into account to improve predictions of the air quality impacts of burning these fuels. Major findings:The FIREX-AQ campaign provided a comprehensive chemical characterization of 53 crop residue and 22 prescribed fires in the Eastern United States to establish regionally specific emission factors. Research revealed that corn residue burns at a significantly higher modified combustion efficiency than rice or soybean residues, leading to distinct emission profiles. The study identified twenty-three chemical species where crop residue emissions differed by over fifty percent from prescribed fires at similar combustion efficiencies, noting higher levels of nitrogen, halogens, and markers related to agricultural chemical use. Conversely, prescribed fires released ten times more monoterpenes than agricultural residues due to the presence of stored plant resins in woody biomass. These findings indicate that fuel-specific and regionally specific data are essential for reducing uncertainty in air quality models that previously relied on global averages." assertion.
- 2023JD039309 creator 0000-0002-6982-0934 assertion.
- 2023JD039309 creator 0000-0003-1628-0353 assertion.
- 2023JD039309 publisher 00var5q80 assertion.
- 2023JD039309 startDate "2022" assertion.
- 2023JD039309 endDate "2023" assertion.
- 2023JD039309 hasMetadata RAD1cnkciVfrL5bgj_TWUN0coAqXVm-8ZTiAIpPmL-1R0 assertion.
- 2023JD039309 contactPoint "katherine.travis@nasa.gov" assertion.
- 2023JD039309 funder 0078xmk34 assertion.