Evaluación de la contribución de las quemas de biomasa en las concentraciones de Black Carbon en Barranquilla, Atlántico

The deterioration of air quality resulting from biomass burning is one of the greatest concerns today, due to the emissions of some atmospheric pollutants, among which Black Carbon (BC) stands out, considered a pollutant with a strong contribution to radiative forcing and consequently altering the c...

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Autores:
Reales López, Gabriel Jose
Tipo de recurso:
Fecha de publicación:
2023
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
spa
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/10487
Acceso en línea:
https://hdl.handle.net/11323/10487
https://repositorio.cuc.edu.co/
Palabra clave:
Black Carbón
Quemas de biomasa
Exponente de absorción de Ångström
Etalómetro
Biomass burning
Ångström absorption exponent
Etalometer
Rights
openAccess
License
Atribución-NoComercial-CompartirIgual 4.0 Internacional (CC BY-NC-SA 4.0)
Description
Summary:The deterioration of air quality resulting from biomass burning is one of the greatest concerns today, due to the emissions of some atmospheric pollutants, among which Black Carbon (BC) stands out, considered a pollutant with a strong contribution to radiative forcing and consequently altering the climate. In this research, BC was monitored environmentally through an AE33 ethalometer, this instrument allowed the determination of concentrations and the identification of the contribution of burning and vehicular traffic, in addition to the Ångström absorption exponent, which is essential for the identification of burning. To relate the percentage contribution of the burns in the city of Barranquilla obtained by the AAE33 vs. those obtained by the modeling, a modeling was used in which the burning points were identified and then fed to the Hysplit trajectory dispersion model for the sampling period from June 1, 2019 to June 30, 2020. The results obtained were an ambient BC concentration of 0.80 ± 0.64 μg/m3, a biomass burning contribution percentage of 17.2% thus obtaining a remaining vehicle traffic contribution of 82.8% and a high correlation in the variables humidity, atmospheric pressure and solar radiation.