TY - GEN
T1 - Spatial clustering of urban and rural community monitoring sites in the United States by criteria air pollutant concentrations
AU - Datko Williams, Laura C.
AU - Alman, Breanna L.
AU - Housego, Rachel M.
AU - Dutton, Steven J.
N1 - Funding Information:
The authors would like to acknowledge previous group members on this project: Adrien Wilkie, Meagan Madden, and Brianna Young. This work is supported in part by an appointment to the Internship/Research Participation Program at Office of Research and Development (National Center for Environmental Assessment), U.S. Environmental Protection Agency, administered by the Oak Ridge Institute for Science and Education through an interagency agreement between the U.S. Department of Energy and EPA. The views expressed in this abstract are those of the authors and do not necessarily reflect the views or policies of the U.S. Environmental Protection Agency.
PY - 2015
Y1 - 2015
N2 - Potential clusters of urban and rural monitoring sites were investigated using data obtained from the EPA's Air Quality System. Data available for the criteria air pollutants include: hourly average data for O3, NO2, SO2, CO; 5-min average or 5-min hourly maximum data for SO2; hourly or 24-hr average data for PM2.5 and PM10 mass; and 24-hr average speciated PM2.5 mass. Meteorological data from NOAA airport monitoring sites near the AQS sites were added. The new variables included daily minimum temperature, daily maximum temperature, and daily precipitation accumulation. The nearest meteorological sites were assigned to the base sites, at a maximum distance of 30 km. The challenges of relying on existing monitoring data over the US are discussed. The existing regulatory monitoring networks were not designed to provide uniform spatio-temporal coverage and measurements do not overlap sufficiently to create a large number of multipollutant sites measuring all criteria pollutants. Urban density did not have a significant effect on the clusters identified in the analysis since the suburban and rural sites did not separate from the urban sites. This is an abstract of a paper presented at the 108th AWMA Annual Conference and Exhibition (Raleigh, NC 6/22-25/2015).
AB - Potential clusters of urban and rural monitoring sites were investigated using data obtained from the EPA's Air Quality System. Data available for the criteria air pollutants include: hourly average data for O3, NO2, SO2, CO; 5-min average or 5-min hourly maximum data for SO2; hourly or 24-hr average data for PM2.5 and PM10 mass; and 24-hr average speciated PM2.5 mass. Meteorological data from NOAA airport monitoring sites near the AQS sites were added. The new variables included daily minimum temperature, daily maximum temperature, and daily precipitation accumulation. The nearest meteorological sites were assigned to the base sites, at a maximum distance of 30 km. The challenges of relying on existing monitoring data over the US are discussed. The existing regulatory monitoring networks were not designed to provide uniform spatio-temporal coverage and measurements do not overlap sufficiently to create a large number of multipollutant sites measuring all criteria pollutants. Urban density did not have a significant effect on the clusters identified in the analysis since the suburban and rural sites did not separate from the urban sites. This is an abstract of a paper presented at the 108th AWMA Annual Conference and Exhibition (Raleigh, NC 6/22-25/2015).
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M3 - Conference contribution
AN - SCOPUS:84983526921
T3 - Proceedings of the Air and Waste Management Association's Annual Conference and Exhibition, AWMA
SP - 2423
EP - 2428
BT - 108th Air and Waste Management Association Annual Conference and Exhibition, ACE 2015 - Connecting the Dots
PB - Air and Waste Management Association
T2 - 108th Air and Waste Management Association Annual Conference and Exhibition - Connecting the Dots: Environmental Quality to Climate, ACE 2015
Y2 - 22 June 2015 through 25 June 2015
ER -
