Document Detail

Methods for characterizing fine particulate matter using ground observations and remotely sensed data: potential use for environmental public health surveillance.
MedLine Citation:
PMID:  19645271     Owner:  NLM     Status:  MEDLINE    
This study describes and demonstrates different techniques for surface fitting daily environmental hazards data of particulate matter with aerodynamic diameter less than or equal to 2.5 microm (PM2.5) for the purpose of integrating respiratory health and environmental data for the Centers for Disease Control and Prevention (CDC) pilot study of Health and Environment Linked for Information Exchange (HELIX)-Atlanta. It presents a methodology for estimating daily spatial surfaces of ground-level PM2.5 concentrations using the B-Spline and inverse distance weighting (IDW) surface-fitting techniques, leveraging National Aeronautics and Space Administration (NASA) Moderate Resolution Imaging Spectrometer (MODIS) data to complement U.S. Environmental Protection Agency (EPA) ground observation data. The study used measurements of ambient PM2.5 from the EPA database for the year 2003 as well as PM2.5 estimates derived from NASA's satellite data. Hazard data have been processed to derive the surrogate PM2.5 exposure estimates. This paper shows that merging MODIS remote sensing data with surface observations of PM,2. not only provides a more complete daily representation of PM,2. than either dataset alone would allow, but it also reduces the errors in the PM2.5-estimated surfaces. The results of this study also show that although the IDW technique can introduce some numerical artifacts that could be due to its interpolating nature, which assumes that the maxima and minima can occur only at the observation points, the daily IDW PM2.5 surfaces had smaller errors in general, with respect to observations, than those of the B-Spline surfaces. Finally, the methods discussed in this paper establish a foundation for environmental public health linkage and association studies for which determining the concentrations of an environmental hazard such as PM2.5 with high accuracy is critical.
Mohammad Z Al-Hamdan; William L Crosson; Ashutosh S Limaye; Douglas L Rickman; Dale A Quattrochi; Maurice G Estes; Judith R Qualters; Amber H Sinclair; Dennis D Tolsma; Kafayat A Adeniyi; Amanda Sue Niskar
Publication Detail:
Type:  Evaluation Studies; Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  Journal of the Air & Waste Management Association (1995)     Volume:  59     ISSN:  1096-2247     ISO Abbreviation:  J Air Waste Manag Assoc     Publication Date:  2009 Jul 
Date Detail:
Created Date:  2009-08-03     Completed Date:  2009-09-03     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9503111     Medline TA:  J Air Waste Manag Assoc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  865-81     Citation Subset:  IM    
Universities Space Research Association, National Aeronautics and Space Administration, Marshall Space Flight Center, National Space Science and Technology Center, Huntsville, AL 35805 , USA.
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MeSH Terms
Environmental Monitoring / methods*
Health Surveys
Particle Size
Particulate Matter / analysis*
Regression Analysis
Time Factors
Reg. No./Substance:
0/Particulate Matter

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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