Determinación del aporte de quemas de biomasa en la concentración de pm2.5 en dos municipios del área metropolitana de Barranquilla a través del uso de herramientas de sensoramiento remoto
The disruption of air quality due to the increase in atmospheric emissions, especially due to the burning of biomass, constitutes one of the greatest environmental concerns worldwide. In this study, through the use of remote sensing tools and dispersion models, the contributions of the burns in the...
- Autores:
-
Bolaño Truyol, Jehison Rafael
- Tipo de recurso:
- Fecha de publicación:
- 2020
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/7078
- Acceso en línea:
- https://hdl.handle.net/11323/7078
https://repositorio.cuc.edu.co/
- Palabra clave:
- Biomass burning
Particulate matter
Remote sensing
Dispersion model,
Hysplit
Quemas de biomasa
Material particulado
Sensoramiento remoto
Modelo de dispersión
- Rights
- openAccess
- License
- Attribution-NonCommercial-ShareAlike 4.0 International
| Summary: | The disruption of air quality due to the increase in atmospheric emissions, especially due to the burning of biomass, constitutes one of the greatest environmental concerns worldwide. In this study, through the use of remote sensing tools and dispersion models, the contributions of the burns in the alterations of PM2.5 in two municipalities of the Barranquilla Metropolitan Area were estimated. Initially, the variations of PM2.5 between January 2017 and June 2018 were analyzed and validated for the municipalities of Soledad (Hipódromo and EDUMAS stations) and Malambo (Tránsito y Transporte station). Subsequently, using the parameters AOD and AAE, the aircraft are classified according to their origin. The biomass burning report is estimated for the period between February 24 and March 30, 2018, when the main burning periods are observed. The burn points and their intensity were obtained from satellite images and the Hysplit model used to estimate emissions. From the dispersion model, which used forward trajectories, it obtained the burns that contribute, on average, with 26.93% for EDUMAS and 22.82% at Hipódromo (Soledad), while for Transit and Transportation with 28.78% (Malambo) of PM2.5 proteins. These results indicate a significant contribution of regional burns, with the contributions coming from La Guajira being recorded. This information is essential so that they can implement more effective mitigation measures and lessen the impact on the population's health. |
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