Sensitivity of Smoke Concentrations to the Variable Biomass Burning Emission Inventories in Canada
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Biomass burning is an essential contributor to smoke concentrations. It is challenging to find the optimal fire emission inventory to estimate fire emissions, that are crucial for predicting air quality. This study aims to investigate the effect of two global biomass burning emission inventories, the Global Fire Emissions Database 4 (GFED4) and the Quick-Fire Emissions Database 2.5 (QFED2.5), on simulating PM2.5 concentrations in Canada. The two inventories were assessed using GEOS-Chem modelling system for the 2020 fire season in Canada (May-August). The simulated PM2.5 concentrations illustrated slight differences at the six air quality monitoring stations and better model performance with QFED2.5. Additionally, the results of sensitivity analysis showed that the Canadian biomass burning led to an increase in the concentrations of PM2.5, more than 42% at Fort Smith and Yellowknife stations. In conclusion, this study suggests that QFED2.5 is more suitable for simulating PM2.5 in the assessed regions.
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Copyright © 2022 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner.
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- 2022
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erdem-sensitivityofsmokeconcentrationstothevariable.pdf | 2023-05-05 | Public | Download |