Current Research
Developing
an Air Quality Prediction System for Studying the Impact of Forest
Fires on Regional Air Quality
![[image:] Logo of University of Houston](/eamc/local-resources/images/partners/uhbigr_shad_trans.gif) Dr.
Daewon W. Byun (Daewon.Byun@mail.uh.edu), Department of Geosciences, University of Houston, Houston,
TX; Dr. Warren E. Heilman (wheilman@fs.fed.us), USDA Forest Service, East Lansing, MI; Dr. Joseph J. Charney
(jcharney@fs.fed.us), USDA Forest Service, East Lansing, MI; Xindi Bian (xbian@fs.fed.us), USDA Forest Service, East Lansing, MI.
Purpose:
Establish an air quality prediction system at the Eastern
Area Modeling Consortium (EAMC) to allow for the study and prediction
of wildland and prescribed fire impacts on regional air quality
Objectives:
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Study model linkage issues of fire emissions and smoke distributions
in the air quality prediction system.
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Link the EAMC operational MM5 prediction system with the University
of Houston's Community Multiscale Air Quality (CMAQ) forecasting
system and the BlueSky system.
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Assess the impact of wildland and prescribed fires on regional
air quality.
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Verification of forecasting skill and diagnostic evaluation of
modeling components.
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