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Develop improved methodology for estimating wind-blown dust emissions using surface characteristics and soil types. Evaluate model performance and compare results with measured data to refine modeling accuracy.
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WRAP RMC Phase II Wind Blown Dust ProjectResults & Status ENVIRON International Corporation and University of California, Riverside Dust Emission Joint Forum Meeting Las Vegas, NV November 16, 2004
Phase II Project Overview • Develop improved general methodology based on Phase I recommendations and recent literature review • Update gridded PM inventory of WB Dust for 2002 using the Inter-RPO regional modeling domain • Develop of surface friction velocities and threshold friction velocities • Develop improved emission flux relationships • Improve vacant land characterization • Disturbance • Land use type • Reservoirs • Conduct model performance evaluation
General Formulation for Emissions Estimation • Dust = f(LULC,z0,u*,u*th,SC) • u* = f(u,z0) • u*th = f(z0) • z0 = f(LULC)
Threshold Friction Velocities • u*th determined from relations developed by Marticorena, et al, (1997)
Emission Rates • Depends on soil type; based on results of Alfaro and Gomes (2001)
Reservoir Characteristics • All soils assumed loose, undisturbed • Dust events limited to 10hrs/day • Sensitivity simulations conducted based on above assumptions • Rain events: Dust re-initiated after set number of days dependent on soil texture, amount of rainfall and season
Rainfall > 2 inches Rainfall < 2 inches Soil type Soil type Spring/Fall Spring/Fall Summer Summer Winter Winter Sand Sand 3 1 2.1 0.7 4.2 1.4 Sandy Loam Sandy Loam 1 3 0.7 2.1 1.4 4.2 Fine Sand Loam Fine Sand Loam 1 3 2.1 0.7 4.2 1.4 Loam Loam 4 2 1.4 2.9 3.8 2.8 Silt Loam Silt Loam 4 2 1.4 2.9 2.8 3.8 Sandy Clay Loam Sandy Clay Loam 2 4 1.4 2.9 3.8 2.8 Clay Loam Clay Loam 5 3 2 3.6 7.2 4 Silty Clay Loam Silty Clay Loam 4 6 2.8 4.3 5.6 8.6 Clay Clay 7 5 3.6 5 10 7.2 Number of days after rain event to re-initiate wind erosion
Model Sensitivity Simulations • Run a : • No limitation on dust event duration • All soils considered loose undisturbed • Run b : • Dust events limited to 10 hrs/day • All soils considered loose undisturbed
Model Sensitivity Simulations • Run c : • No limitation on dust event duration • Assume 10% of barren, grass & shrublands area is disturbed • Threshold velocity for grass & shrublands = 0.5 * undisturbed value • Threshold velocity for barren lands = .27 * undisturbed value • Run d : • Dust events limited to 10 hrs/day for undisturbed soils • Assume 10% of barren, grass & shrublands area is disturbed • Threshold velocity for grass & shrublands = 0.5 * undisturbed value • Threshold velocity for barren lands = .27 * undisturbed value
Model ResultsScenario a: no limit on duration; all soils loose, undisturbed
Model ResultsScenario b: event duration <=10 hrs/day; all soils loose, undisturbed
Model ResultsScenario c: no limit on duration; assume 10% disturbed area for grass, shrub, barren lands
Model ResultsScenario d: event duration <= 10hrs/day for disturbed soils; assume 10% disturbed area for grass, shrub, barren lands
Scenario b Annual PM10 from All Dust Categories for WRAP States
Scenario d Annual PM10 from All Dust Categories for WRAP States
2002 Annual PMC Scenario a: no limit on duration; all soils loose, undisturbed
2002 Annual PMCScenario b: event duration <=10 hrs/day; all soils loose, undisturbed
2002 Annual PMC Scenario c: no limit on duration; assume 10% disturbed area for grass, shrub, barren lands
2002 Annual PMC Scenario d: event duration <=10 hrs/day; assume 10% disturbed area for grass, shrub, barren lands
2002 Annual PMCScenario b: event duration <=10 hrs/day; all soils loose, undisturbed
Model Limitations • Grid resolution • Coarse resolution of met data can’t resolve high wind events; wind gusts • LULC and Soils data • LULC not detailed enough on a regional-scale • Soils data lacks depth of layers, moisture data • Agricultural land adjustments • No agricultural data for Eastern states (prepared for WRAP & CENRAP regions only) • Data gaps in Ag Census
Model Performance Evaluation • Evaluate model results for reasonableness and accuracy • Compare predicted WB dust emissions near IMPROVE monitors with measured IMPROVE dust extinction (Bdust) • Enhancements to CMAQ to track WB and other dust • Evaluate model CMAQ model performance with and without WB dust emissions • Refined model performance evaluation using results of Etyemezian, et al. • For events characterized as wind blown dust events, determine whether dust model predicts impacts
Model Performance Evaluation (1) • Evaluate model results for reasonableness and accuracy • Compare predicted WB dust emissions near IMPROVE monitors with measured IMPROVE dust extinction (Bdust) • Identify occurrences of: • Zero WB dust and near-zero Bdust • Enhanced WB dust and near-zero Bdust • No WB dust and elevated Bdust • Enhanced WB dust and elevated Bdust • Modeled dust averaged over 5 x 5 block of grid cells centered on IMPROVE sites • Daily averaged model results paired (in time & space) with monitored data • Compare modeled PM with Bextdust • Bextdust = [FS] + 0.6[CM]
Model Performance Evaluation (2) • Enhancements to CMAQ to track WB and other dust emissions separately • Run CMAQ w/ and w/o WB Dust emissions • Evaluate CMAQ model results with and with out WB dust emissions