J. Burke1, K. Wesson2, W. Appel1, A. Vette1, R. Williams1

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Presentation transcript:

Evaluation of a Combined Air Quality and Exposure Modeling Study for Detroit, MI J. Burke1, K. Wesson2, W. Appel1, A. Vette1, R. Williams1 1US EPA ORD, National Exposure Research Laboratory, Research Triangle Park, NC 2US EPA OAR, Office of Air Quality Planning and Standards, Research Triangle Park, NC CMAS Conference October 13, 2010

Objectives Evaluate a combined air quality and exposure model application using measurements from human exposure study in Detroit Spatial scale to characterize intra-urban variability CMAQ output Monitoring data Determine whether CMAQ captured spatial and temporal variability in measured concentrations, and for which pollutants Better understand model limitations in accurately predicting air pollutant concentrations and exposures

Methods: CMAQ Modeling 4 km domain 1 km domain STN Monitor Locations Methods: CMAQ Modeling CMAQ v4.71 for nested domains across Detroit metropolitan area 12km, 4km & 1km Criteria & toxic pollutants 2005 emissions and meteorology Emissions included: Updates for Detroit urban area processed with SMOKE Link-based mobile emissions for PM and toxics (CONCEPT) Spatially allocated 4km & 1km nonpoint emissions using Surrogate Tool MM5 meteorological data 12km & 4km processed with MCIP v4.3 1km data disaggregated from the 4km MCIP output Detroit

Methods: Exposure Measurements Detroit Exposure and Aerosol Research Study (DEARS) Daily (24h) measurements Residential indoor/outdoor and personal exposures PM mass and species VOCs, aldehydes O3, NO2, SO2 2004 to 2007 Summer/winter seasons Exposure monitoring areas (EMAs) 5 source-impacted 1 regional background Allen Park CSN EMA 4 EMA 6 EMA 3 EMA 1 EMA 5 Allen Park EMA 7

Methods: Exposure Modeling Stochastic Human Exposure and Dose Simulation for Particulate Matter (SHEDS-PM) Estimates population distribution of exposures for location of interest Time series of PM concentrations for location Simulates representative population of individuals based on census demographics Uses human activity diaries to characterize variability in time spent indoors, outdoors, in vehicles Individual #1 2 3 4 5 …

CMAQ Average PM2.5 Concentration

Results: CMAQ 4 km vs. 1 km

Results: CMAQ 4 km vs. 1 km

Results: CMAQ vs. DEARS

Results: CMAQ vs. DEARS

Results: CMAQ vs. DEARS

Results: CMAQ vs. DEARS

Results: CMAQ vs. DEARS

Results: CMAQ vs. DEARS

Results: CMAQ vs. DEARS

Results: SHEDS Exposure

Results: SHEDS Exposure

Summary CMAQ 4 km vs. 1 km Greater spatial resolution in urban center may be important, especially for industrial urban areas CMAQ vs. DEARS Larger differences between CMAQ and DEARS compared to difference between 4 km and 1 km CMAQ Seasonal biases for PM need to be accounted for before using in exposure model

Disclaimer: Although this work was reviewed by EPA and approved for publication, it may not necessarily reflect official Agency policy.

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