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Type: Journal Article
Author(s): Ran Huang; Momei Qin; Yongtao Hu; Armistead G. Russell; Mehmet Talat Odman
Publication Date: 2020

Prescribed burning is a prominent source of PM2.5 in the southeastern U.S. An air quality forecasting system called HiRes2 currently serves most areas in the southeastern U.S. to forecast PM2.5 concentrations one day in advance, including the impact of forecast prescribed burning activity. The output prescribed fire impact from the HiRes2 forecasting system is the combined impact of all the fires in the domain. When there are many fires close to each other, it is difficult to distinguish the ones that are more likely to lead to air quality issues. A novel source apportionment method, Dispersive Apportionment of Source Impacts (DASI), has been developed and applied to split the combined prescribed fire impact obtained from a chemical transport model (CTM) by using simulated fields from a dispersion model. Comparisons of apportioned fire impacts with single burn impacts simulated directly by the CTM show that DASI works well with large and small fires that do not have too much interaction with other fires. Individual fire impacts obtained by splitting the combined fire impacts from CTMs could help local land and air quality managers to evaluate which burns should be allowed or restricted based on their individual impacts on air quality and public health in areas of concern.

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Citation: Huang, Ran; Qin, Momei; Hu, Yongtao; Russell, Armistead G.; Odman, M. Talat. 2020. Apportioning prescribed fire impacts on PM2.5 among individual fires through dispersion modeling. Atmospheric Environment 223:117260.

Cataloging Information

  • air quality management
  • CMAQ - Community Multiscale Air Quality Modeling System
  • DDM - decoupled direct method
  • emission contribution
  • fire activity
  • HYSPLIT - Hybrid Single-Particle Lagrangian Integrated Trajectory
  • PM2.5
  • source attribution
Record Last Modified:
Record Maintained By: FRAMES Staff (
FRAMES Record Number: 60599