Methods Results Conclusion Gathered and analyzed PM 2.5 and AOD data for 2 months (May-June 2011) Looked into patterns and consistency of data – for urban,

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Methods Results Conclusion Gathered and analyzed PM 2.5 and AOD data for 2 months (May-June 2011) Looked into patterns and consistency of data – for urban, suburban, and rural areas Differences among the geographical areas, and between PM 2.5 and AOD Comparison of Aerosol Optical Depth (AOD) and Surface Particulate Matter (PM 2.5 ) for New York State Arnold T. Arrozal, Olivia D. Reed, and Fred Moshary Department of Electrical Engineering, City College of New York, New York City Albany County Utica Newburgh White Plains CCNY Maspeth Six areas within the New York State were selected based on their geographical locations as urban (2 areas), suburban (2 areas) and rural (areas). These areas were selected to compare the aerosol optical depth (AOD) and surface particulate matter (PM 2.5 ). AOD was measured by Moderate Resolution Imaging Spectroradiometer (MODIS) and GOES (Geostationary Operational Environmental Satellite) Aerosol/Smoke Product (GASP) instruments while surface particulate matter (PM 2.5 ) was measured by Tapered Element Oscillating MicroBalance (TEOM). Overall, the results showed varying degrees of correlation. The R 2 of PM 2.5 between two areas ranged from a low to a moderately strong This result suggested that when the PM 2.5 between two areas is being compared, the R 2 becomes weaker as the distance between the areas increases. However, the R 2 of MODIS AOD between two areas ranged from a moderately strong 0.69 to a very strong It was also found that the correlation (r) between PM 2.5 and MODIS AOD in each selected area was ranging from a moderately strong 0.64 to a very strong 0.93 with the exception of urban areas (City College of New York (CCNY) and Maspeth) where r was not available. However, the correlation (r) between PM 2.5 and GASP AOD in each selected area was ranging from a very weak to a moderately weak This results shows that MODIS AOD and GASP AOD were not consistent in measuring PM 2.5. It can be said that TEOM and MODIS AOD posted a moderately strong to a very strong correlation in measuring PM 2.5 while GASP AOD did not. Abstract Scope and Limitations Areas of Concentration Surface Particulate Matter (PM 2.5 ) Tapered Element Oscillating MicroBalance (TEOM) Aerosol Optical Depth (AOD) Moderate Resolution Imaging Spectroradiometer (MODIS) GOES (Geostationary Operational Environmental Satellite) Aerosol/Smoke Product (GASP) Geographical Locations Albany Utica Newburgh White Plains CCNY Maspeth Sponsors: National Aeronautics and Space Administration (NASA) NASA Goddard Institute for Space Studies (GISS) NASA Goddard Space Flight Center (GSFC) NASA New York City Research Initiative (NYCRI) City College of New York (CUNY-CCNY) Louis Stokes Alliance for Minority Participation (LSAMP) Contributors: Arnold T. Arrozal Olivia D. Reed Fred Moshary (Mentor), Department of Electrical Engineering, City College of New York CCNY and Maspeth Modis AOD y = x R 2 = CCNY Maspeth Results (cont.) Conclusion  PM 2.5 vs. PM 2.5 (R 2 )  Albany and Utica was indicating a weak relationship.  Newburgh and White Plains was indicating a moderately strong relationship.  CCNY and Maspeth was indicating a moderately strong relationship.  MODIS vs. MODIS (R 2 )  Albany and Utica was 0.69 indicating a moderately strong relationship.  Newburgh and White Plains was indicating a strong relationship.  CCNY and Maspeth was indicating a moderately strong relationship.  MODIS AOD vs. PM 2.5 (r)  Albany r=0.83  Utica r=0.64  Newburgh r=0.93  White Plains r=0.87  CCNY and Maspeth r= NA Results showed a moderately strong to a very strong relationship.  GASP AOD vs. PM 2.5 (r)  Albany r=0.19  Utica r=-0.05  Newburgh r=0.18  White Plains r=0.11  CCNY r=0.02  Maspeth r= 0.23 Results showed a weak relationship. Air Quality Measurement, July New York State Department of Environmental Conservation. Infusing satellite Data into Environmental Applications (IDEA), July, Time-series and correlations of MODIS/GASP aerosol optical depth and surface PM Voiland, A., Aerosols: Tiny Particles, Big Impact. References