Wildfires represent one of the sources of emissions of atmospheric pollutants. The development of an emissions inventory for this activity is a challenge today, especially to perform a modeling of air quality. There are free available databases with historical information about this source. The main goal of this study was to process the results of biomass burning emissions for the year 2014 from the Global Fire Assimilation System (GFASV3). The pollutants studied were the black carbon, the organic carbon, fine and coarse particulate matter, respectively. The Inputs were pre-formatted to enter to the simulation software of the emission inventory. In this case, we used the Sparse Matrix Operator Kernel Emissions (SMOKE4.5) and finally we get the input files to process in the Community Multiscale Air Quality Modeling System (CMAQ) model. As a result, the spatial distribution of the forest fire emissions in the southern hemisphere was obtained, with the polar stereographic projection. At the same time, the ratio of black and organic carbon in the fine particulate matter and the fraction of BC/OC. The emissions were higher in the African continent, followed by the southern region of America. With the results of this study and the methodology made, the countries of the southern hemisphere will be able to improve forest fire emissions inventories to be used in the air quality models they want, at the local level.
|Proceedings of the Air and Waste Management Association's Annual Conference and Exhibition, AWMA
|Publicada - 2019
|A and WMA''s 112th Annual Conference and Exhibition, ACE 2019 - Ville de Quebec, Canadá
Duración: 25 jun. 2019 → 28 jun. 2019