HR: 1340h
AN: PA33A-1025    [Abstracts]
TI: 3D Air Quality and the Clean Air Interstate Rule: MODIS Aerosol Optical Depth Applications for the Development of Metrics of Source Attribution
AU: * Weber, S
EM: webers@battelle.org
AF: Battelle Memorial Institute, 505 King Avenue, Columbus, OH 43201, United States
AU: Engel-Cox, J
EM: engelcoxj@battelle.org
AF: Battelle Memorial Institute, Suite 800 2101 Wilson Blvd., Arlington, VA 22201, United States
AU: Fairlie, T D
EM: t.d.fairlie@nasa.gov
AF: NASA Langley Research Center, Atmospheric Chemistry & Dynamics Branch (E303), Hampton, VA 23681, United States
AU: Dimmick, F
EM: Dimmick.Fred@epamail.epa.gov
AF: U.S. Environmental Protection Agency, US EPA Mailroom, Research Triangle Pk, NC 27711, United States
AU: Scheffe, R
EM: Scheffe.Rich@epamail.epa.gov
AF: U.S. Environmental Protection Agency, US EPA Mailroom, Research Triangle Pk, NC 27711, United States
AU: Tikvart, J
EM: Tikvart.Joe@epamail.epa.gov
AF: U.S. Environmental Protection Agency, US EPA Mailroom, Research Triangle Pk, NC 27711, United States
AB: In an effort to quantitatively assess the impact of the Clean Air Interstate Rule (CAIR), the sources of particulate air quality events in the Baltimore, Maryland region during Summer 2004 were characterized using an integrated dataset including satellite data, surface observations and numerical model output. Six particulate air quality events were identified using criteria based on particulate (PM2.5) and sulfate concentrations measured by ground-based monitors in the Baltimore-Washington, DC area. Aerosol optical depth (AOD) data derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument aboard the Terra and Aqua satellites were used in conjunction with AOD measured by a ground-based LIDAR (light detection and ranging) instrument, simulated PM2.5 and sulfate concentrations from the Community Multiscale Air Quality (CMAQ) model, and ensemble back trajectories calculated by the NASA Langley Research Center trajectory model (LaTM) to trace the origins of elevated aerosol concentrations and determine if Baltimore particulate air quality events were caused by regional or local sources. Based on this analysis, several metrics have been developed to quantitatively assess and visually display the progress towards reducing the regional transport of pollutants as a result of CAIR initiatives. Policy makers can use these metrics to gauge the efficacy of CAIR in the coming years.
DE: 0345 Pollution: urban and regional (0305, 0478, 4251)
DE: 3360 Remote sensing
DE: 6620 Science policy (0485)
SC: Public Affairs [PA]
MN: 2007 Fall Meeting