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Principal Investigator(s):
Philip Hopke
Project Update (897kb .pdf)
Although the current NAAQS gauges air quality in terms of fine particulate matter (PM2.5) mass concentrations, recent studies have suggested that the health effects of PM may vary by chemical composition and source category. Considering airborne PM as a mixture of particles from different source categories could therefore prove a more effective strategy in protecting human health. A variety of source-apportionment methods, used to attribute PM components to different source categories, are currently being used to assess these effects.
This project combines the best features of advanced factor analysis models using Positive Matrix Factorization (PMF) approaches. The improved methodology will be assessed using an inventory of PM2.5 data, to be developed using a wide range of available information and with an emphasis on New York State. A further objective of this effort will be to develop and test models that make the best possible use of data collected on different timescales. Project findings will constitute an important contribution to our understanding of the local and regional sources of ambient PM2.5 pollution in New York State.
Partners:
Downloads:
Project Update (897kb .pdf)
Latitude/Longitude: (5kb .pdf)
Region(s): Statewide
County(ies):
Sampled Medium(Media):
Analyte(s):
Sampling Technolog(ies):
Sampling Frequency:
Total Costs: $716,830
NYSERDA Costs: $200,000
Funding Source(s): NYSERDA, Clarkson University, U.S. Environmental Protection Agency
Contract Initiated: September, 2003
Estimated Completion Date: September, 2006
Project Website:
Related EMEP Projects: Ken Demerjian 4918, Philip Hopke 6083, Monica Mazurek 7616, George Thurston 6084
Related Link(s):
Philip Hopke
Clarkson University
Department of Chemical Engineering
202 CAMP Bldg 8
Clarkson Avenue, Box 5705
Potsdam, New York 13699-5705
PH: (315) 268-3861
Fax: (315) 268-6654
Email: hopkepk@clarkson.edu
