Modeling Study of the Contribution of Wildfires to Ambient Black Carbon Concentrations
Abstract
Wildland fires are a major source of particulate emissions, including black carbon (BC). In combination with other emissions, these BC and particulate emissions can directly lead to air quality degradation, both locally and more regionally. BC and other particulate matter (PM) can also affect climate in various ways, including by scattering and absorbing radiation, modifying cloud formation and properties, and changing snow albedo. BC emissions reduction is a potential strategy for mitigating global warming because it is emitted in large quantities and has a relatively short lifetime in the atmosphere in comparison to long-live greenhouse gases. Due to the highly variable nature of wildland fires, both in terms of fire occurrences on the landscape and the high spatial and temporal variability of fuels, consumption, and emissions, the impact of wildfire emissions varies significantly over the period of the wildfire season as well as inter-annually. In the U.S., while anthropogenic emissions are projected to decrease, as the climate warms wildfire activity is predicted to increase along with the contribution of fire emissions. Thus, a robust analysis of the effects of BC from fire emissions on air quality and climate necessitates a comprehensive, multi-scale study of all fire-related pollutants and other emission sources spanning multiple years of fire data and weather conditions. In this study we apply the WRF-BlueSky-SMOKE-CMAQ regional air-quality modeling system for multi-year (1997-2005) summertime simulations to evaluate the contribution of fire emissions to atmospheric BC and total PM2.5 concentrations. Historical fire records from the Bureau of Land Management are used by the BlueSky framework to calculate fire emissions. Plume rise is calculated by the SMOKE emission processor, taking into account meteorology from the WRF model. These emissions are combined with anthropogenic emissions from the NEI 2002 and biogenic emissions from the MEGAN model. CMAQ is used to simulate ambient BC and total PM2.5 concentrations.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2013
- Bibcode:
- 2013AGUFM.A11C0035C
- Keywords:
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- 0305 ATMOSPHERIC COMPOSITION AND STRUCTURE Aerosols and particles;
- 0345 ATMOSPHERIC COMPOSITION AND STRUCTURE Pollution: urban and regional;
- 0478 BIOGEOSCIENCES Pollution: urban;
- regional and global