Bottom-up estimates of atmospheric emissions of CO₂, NO₂, CO, NH₃, and Black Carbon, generated by biomass burning in the north of South America

Authors

DOI:

https://doi.org/10.4995/raet.2022.15594

Keywords:

Bottom-up, burned area, atmospheric emissions, Aboveground biomass validation, greenhouse gases, atmospheric pollutants, uncertainty

Abstract

Biomass burning is an important source of greenhouse gases (GHG) and air pollutants (AP) in developing countries. In this research, a bottom-up method was implemented for the estimation of emissions, emphasizing the validation process of aerial biomass products (AGB), which it has not been sufficiently approached from the point of view of the quantification of emissions. The most recent results on the validation of burned area (AQ) products and the analysis of uncertainty were also incorporated into the process of estimating the emissions of gases that directly or indirectly promote the greenhouse effect, such as COâ‚‚, NOâ‚‚, CO, NH₃, and Black Carbon (BC). In total, 87.60 Mha were burned in the region between 2001 and 2016, represented in a 57% by pasture lands a 23% by savannas, an 8% by savanna woodlands, an 8% by mixed soils with crops and natural vegetation, a 3% by evergreen broadleaf forests, and a 1 % in the region´s remaining types of land cover. With 35480 reference polygons, a model based on the uncertainty of AQ was generated, which served to find the calibration factor of the FireCCI5.0 in all the studied species. The total emissions (minimum and maximum) and the average of the same in the study period were the following: 1760 Tg COâ‚‚ (765.07-2552.88; average 110 Tg), 68.12 Tg of CO (27.11-98.87; average 4.26 Tg), 3.05 Tg of NOâ‚‚ (1.27-4.40; average 0.19 Tg), 0.76 Tg of NH₃ (0.33-1.12; average 0.05 Tg), and 0.44 Tg of Black Carbon (0.015-0.64; average 0.03 Tg).

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Author Biographies

Germán M. Valencia, Universidad de San Buenaventura

Director de Investigaciones y Posgrados

Jesús A. Anaya, Universidad de Medellín

Facultad de IngenieríasDocente titular

Francisco J. Caro-Lopera, Universidad de Medellín

Docente titular Director del Doctorado Modelamiento y ciencia computacionalDepartamento de Ciencias Básicas

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Published

2022-01-31

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Section

Research articles