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

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 sufficien...

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Main Authors: Germán M. Valencia, Jesús A. Anaya, Francisco J. Caro-Lopera
Format: Article
Language:English
Published: Universitat Politècnica de València 2022-01-01
Series:Revista de Teledetección
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Online Access:https://polipapers.upv.es/index.php/raet/article/view/15594
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author Germán M. Valencia
Jesús A. Anaya
Francisco J. Caro-Lopera
author_facet Germán M. Valencia
Jesús A. Anaya
Francisco J. Caro-Lopera
author_sort Germán M. Valencia
collection DOAJ
description 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 CO₂, NO₂, 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 CO₂ (765.07-2552.88; average 110 Tg), 68.12 Tg of CO (27.11-98.87; average 4.26 Tg), 3.05 Tg of NO₂ (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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language English
publishDate 2022-01-01
publisher Universitat Politècnica de València
record_format Article
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spelling doaj-art-aa98ca4614c74991836b0600405eee0b2025-08-20T02:08:40ZengUniversitat Politècnica de ValènciaRevista de Teledetección1133-09531988-87402022-01-01059234610.4995/raet.2022.155949239Bottom-up estimates of atmospheric emissions of CO₂, NO₂, CO, NH₃, and Black Carbon, generated by biomass burning in the north of South AmericaGermán M. Valencia0Jesús A. Anaya1Francisco J. Caro-Lopera2Universidad de San BuenaventuraUniversidad de MedellínUniversidad de MedellínBiomass 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 CO₂, NO₂, 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 CO₂ (765.07-2552.88; average 110 Tg), 68.12 Tg of CO (27.11-98.87; average 4.26 Tg), 3.05 Tg of NO₂ (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).https://polipapers.upv.es/index.php/raet/article/view/15594bottom-upárea quemadaemisiones atmosféricasvalidación de biomasa vegetal aéreagases efecto invernaderocontaminantes atmosféricosincertidumbre
spellingShingle Germán M. Valencia
Jesús A. Anaya
Francisco J. Caro-Lopera
Bottom-up estimates of atmospheric emissions of CO₂, NO₂, CO, NH₃, and Black Carbon, generated by biomass burning in the north of South America
Revista de Teledetección
bottom-up
área quemada
emisiones atmosféricas
validación de biomasa vegetal aérea
gases efecto invernadero
contaminantes atmosféricos
incertidumbre
title Bottom-up estimates of atmospheric emissions of CO₂, NO₂, CO, NH₃, and Black Carbon, generated by biomass burning in the north of South America
title_full Bottom-up estimates of atmospheric emissions of CO₂, NO₂, CO, NH₃, and Black Carbon, generated by biomass burning in the north of South America
title_fullStr Bottom-up estimates of atmospheric emissions of CO₂, NO₂, CO, NH₃, and Black Carbon, generated by biomass burning in the north of South America
title_full_unstemmed Bottom-up estimates of atmospheric emissions of CO₂, NO₂, CO, NH₃, and Black Carbon, generated by biomass burning in the north of South America
title_short Bottom-up estimates of atmospheric emissions of CO₂, NO₂, CO, NH₃, and Black Carbon, generated by biomass burning in the north of South America
title_sort bottom up estimates of atmospheric emissions of co₂ no₂ co nh₃ and black carbon generated by biomass burning in the north of south america
topic bottom-up
área quemada
emisiones atmosféricas
validación de biomasa vegetal aérea
gases efecto invernadero
contaminantes atmosféricos
incertidumbre
url https://polipapers.upv.es/index.php/raet/article/view/15594
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