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Impact of the changes of prescribed fire emissions on regional air quality from 2002 to 2050 in the southeastern United States. Tao Zeng 1,3 , Yuhang Wang 1 , Chi Zhang 2 , Hanqin Tian 2 , Di Tian 3 , Amistead G. Russell 1 , Yongqiang Liu 4 , Ruby Leung 5. 1 Georgia Institute of Technology - PowerPoint PPT Presentation
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Impact of the changes of prescribed fire emissions on regional air quality from 2002 to 2050 in the southeastern United States
Tao Zeng1,3, Yuhang Wang1, Chi Zhang2, Hanqin Tian2,
Di Tian3, Amistead G. Russell1, Yongqiang Liu4, Ruby Leung5
1 Georgia Institute of Technology2 Auburn University3 Georgia Department of Natural Resources4 USDA Forest Services5 Pacific Northwest National Laboratory
Outline
Prescribed fire emissions (PFE) in the SE US in 2002
Projection of PFE from 2002 to 2050 based on fuel loading changes projected with a dynamic ecosystem model
CMAQ simulated PFE impacts on regional air quality in 2050
Conclusions
Prescribed burning in the SE US in 2002
Prescribed burning is fire ...1. Applied in a skillful manner 2. Under exacting weather conditions 3. In a definite place 4. To achieve specific results
— A Guide for Prescribed Fire in Southern Forests
The impacts1. Reduce fire hazards2. Improve wildlife habitat3. Improve access4. Reduce air quality
The mean and median OC and EC concentrations in the SE US from the observation and model simulations with and without prescribed fire emissions in March 2002.
--- VISTAS fire inventoryVISTAS fire inventory
(Zeng et al., 2008)
Emission Projection of PFE in 2050
Fire Emission = Burned Area Fire Emission = Burned Area xx Fuel loadingFuel loading xx Emission Factor Emission Factor
Fuel loading projectionThe base fuel loading condition is provided by Fuel Characteristic Classification System (FCCS) map developed by USDA Forest Service (Roger Ottmar). The Dynamic Land Ecosystem Model (DLEM) at Auburn University is used to estimate the temporal and spatial patterns of fuel loading driven by the meteorological simulations in 2002 and 2050.
Future climate Future climate in 2050 is simulated based on IPCC A1B scenario. GISS GCM is used for
the climate simulation (Mickley, et al., 2004 ). The global outputs were downscaled to 36-km North America model domain using the MM5 (Leung et al., 2005).
Emission prediction in 2050The future emission up to 2020 was developed by following the Clean Air Interstate Rule (CAIR) controls. From 2020 to 2050, the emissions were predicted based on IPCC A1B scenario by the Integrated Model to Assess the Global Environment (IMAGE) model (www.mnp.nl/image) [Woo et al., 2008].
Current annual mean fuel loading
(a)
Climate (TEMP,PPT)
Atmospheric CO2
Soil (BD, PH, DEPTH, SILT,
CLAY)
Topography (ELEV, SLOPE,
ASPECT)
VEGETATION
Spatial pattern
Spatial and temporal distributions of biomasses in 2002 and 2050
Temporal pattern
Seasonal variation
2002 vs. 2050
Fuel Characteristic Classification System (FCCS, Ottmar et al.)
Fuel loading estimate in 2050
Dynamic Land Ecosystem Model (DLEM, Auburn U.)
Fuel Loading in 2002 and 2050
Precipitation changes (2002 vs. 2050)
Temperature changes (2002 vs. 2050)
Fuel loading in 2002 vs 2050
Prescribed fire emissions (PFE) in 2050
DLEM simulated fuel loadings in the 10 SE states in 2002 and 2050.
PFE projectionThe ratios of annual fuel loading at county level are used to scale PFE from 2002 to 2050.
PFE 2050 : PFE 2002 = 1.16
CMAQ simulation
Domain 147 columns, 111 rows, 9 vertical layers, 36km grid distance
Meteorology 2002 MM5 data assimilations driven by NNRP and ADP obs. 2050 MM5 simulations based on GISS GCM with 2xCO2
Emissions Projected PFE from VISTAS emissions inventory in 2002 Projected anthropogenic emissions in 2050 [Woo et al., 2008]
Chemistry SAPRC99_AE4_aq including SOA productions.
Initial & boundary conditions GEOS-Chem CO (for evaluation of CO in 2002) Default CMAQ setting for the others.
Runs Two base runs with standard emissions in 2002 and 2050. Two sensitivity runs without PFE in the SE US in 2002 and 2050. One sensitivity run with 2002 PFE in 2050.
Modeling Domain
Monthly mean changes of daily max 8-hr O3
w/ PFE – w/o PFE
Monthly mean changes of daily COw/ PFE – w/o PFE
Monthly mean changes of daily ECw/ PFE – w/o PFE
Monthly mean changes of daily OMw/ PFE – w/o PFE
Monthly mean changes of daily PM2.5w/ PFE – w/o PFE
Monthly impacts of PFE in the SE in 2002 and 2050
Conclusions
Projected 2050 PFE from 2002 increases in the states along the east coast and decreases in the inland states in the SE US. The total projected PFE in 2050 is 16% higher than 2002 since most PFE occurs in FL, GA, AL, SC.
The impact of PFE on CO, EC, OM, and PM2.5 is larger in winter and spring in both years. February and March are the 2 months with the largest impacts.
The model simulates the largest PFE impact on air quality in February although March has the largest PFE. It indicates a big role of the meteorological conditions.
The simulated PM2.5 enhancements due to PFE are 2.2 and 1.3 μg/m3 in February 2002 and 2050, respectively. It accounts for 22% and 25% of total PM2.5 mass in Feb 2002 and 2050. The simulated annual PFE contributions are 14% and 17% in 2002 and 2050, respectively.
Same amount of PFE leads to smaller air quality changes in 2050. It is due to changes of meteorological conditions.
Acknowledgement
This work was funded by the US EPA 2004-STAR-L1 Program (grant RD-83227601) and USDA Air Quality Program (grant 2007-55112-17855).
I want to thank Dr. Kuo-Jen Liao and Dr. Yongtao Hu at Georgia Tech for insightful discussion and Dr. Jung-Hun Woo at NESCAUM for providing the emission data in 2050.