Satellite Remote Sensing for Developing Time-Space Resolved Estimates of Ambient Particulate in Cleveland, OH

Details

• Personal Author:
  Chu AD ; Foster AD ; Kumar N ; Peters T ; Willis R
• Description:
  This article empirically demonstrates the use of fine resolution satellite-based aerosol optical depth (AOD) to develop time and space resolved estimates of ambient particulate matter (PM) <=2.5 microm and <=10 microm in aerodynamic diameters (PM2.5 and PM10, respectively). AOD was computed at three different spatial resolutions, i.e., 2 km (means 2 km × 2 km area at nadir), 5 km, and 10 km, by using the data from MODerate Resolution Imaging Spectroradiometer (MODIS), aboard the Terra and Aqua satellites. Multiresolution AOD from MODIS (AODMODIS) was compared with the in situ measurements of AOD by NASA's AErosol RObotic NETwork (AERONET) sunphotometer (AODAERONET) at Bondville, Illinois, to demonstrate the advantages of the fine resolution AODMODIS over the 10-km AODMODIS, especially for air quality prediction. An instrumental regression that corrects AODMODIS for meteorological conditions was used for developing a PM predictive model. The 2-km AODMODIS aggregated within 0.025 degree and 15-min intervals shows the best association with the in situ measurements of AODAERONET. The 2-km AODMODIS seems more promising to estimate time and space resolved estimates of ambient PM than the 10-km AODMODIS, because of better location precision and a significantly greater number of data points across geographic space and time. Utilizing the collocated AODMODIS and PM data in Cleveland, Ohio, a regression model was developed for predicting PM for all AODMODIS data points. Our analysis suggests that the slope of the 2-km AODMODIS (instrumented on meteorological conditions) is close to unity with the PM monitored on the ground. These results should be interpreted with caution, because the slope of AODMODIS ranges from 0.52 to 1.72 in the site-specific models. In the cross validation of the overall model, the root mean square error (RMSE) of PM10 was smaller (2.04 microg/m3 in overall model) than that of PM2.5 (2.5 microg/m3 ). The predicted PM in the AODMODIS data (approx. 2.34 million data points) was utilized to develop a systematic grid of daily PM at 5-km spatial resolution with the aid of spatiotemporal Kriging. [Description provided by NIOSH]
• Subjects:
  Aerosols Air Pollutants, Occupational Air Pollution Geographic Information Systems Meteorology Occupational Health Particulate Matter Safety
• Keywords:
  Aerosol Particles Aerospace Engineering Aerospace Environment Airborne Particles Air Contaminants Air Quality Measurement Analytical Models Communication Systems Data Processing Geographic Information Systems Geologic Models Geostatistics Information Systems Models Optics Particle Aerodynamics Particle Diameter Particle Size Robotics

  More +
• ISSN:
  0278-6826
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  District of Columbia ; Iowa ; North Carolina ; OSHA Region 1 ; OSHA Region 3 ; OSHA Region 4 ; OSHA Region 7 ; Rhode Island
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  45
• Issue:
  9
• NIOSHTIC Number:
  nn:20061917
• Citation:
  Aerosol Sci Technol 2011 Sep; 45(9):1090-1108
• Contact Point Address:
  Naresh Kumar, Department of Geography, University of Iowa, 316 Jessup Hall, Iowa City, IA 52242, USA
• Email:
  naresh-kumar@uiowa.edu
• Federal Fiscal Year:
  2011
• Performing Organization:
  University of Iowa
• Peer Reviewed:
  True
• Start Date:
  20050701
• Source Full Name:
  Aerosol Science and Technology
• End Date:
  20290630
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:a80cb3ed38d44809d9b0473417c98db54e49c0f48e4a2bed9da384382cbed065aa028f20adc6d6b459cfa2309abe9171b660b8080d24011c9d013d974ce8f575
• Download URL:
  https://stacks.cdc.gov/view/cdc/225262/cdc_225262_DS1.pdf
• File Type:
  [PDF - 2.65 MB ]