A platform for research: civil engineering, architecture and urbanism
Relationship between PM2.5 Collected at Residential Outdoor Locations and a Central Site
Regression models are developed to describe the relationship between ambient PM2.5 (particulate matter [PM] ≤2.5 μm in aerodynamic diameter) mass concentrations measured at a central-site monitor with those at residential outdoor monitors. Understanding the determinants and magnitude of variability and uncertainty in this relationship is critical for understanding personal exposures in the evaluation of epidemiological data. The repeated measures regression models presented here address temporal and spatial characteristics of data measured in the 2004–2007 Detroit Exposure and Aerosol Research Study, and they take into account missing data and other data features. The models incorporate turbulence kinetic energy and planetary boundary layer height, meteorological data that are not routinely considered in models that relate central-site concentrations to exposure to health effects. It was found that turbulence kinetic energy was highly statistically significant in explaining the relationship of PM2.5 measured at a particular stationary outdoor air monitoring site with PM2.5 measured outside nearby residences for the temporal coverage of the data.
Relationship between PM2.5 Collected at Residential Outdoor Locations and a Central Site
Regression models are developed to describe the relationship between ambient PM2.5 (particulate matter [PM] ≤2.5 μm in aerodynamic diameter) mass concentrations measured at a central-site monitor with those at residential outdoor monitors. Understanding the determinants and magnitude of variability and uncertainty in this relationship is critical for understanding personal exposures in the evaluation of epidemiological data. The repeated measures regression models presented here address temporal and spatial characteristics of data measured in the 2004–2007 Detroit Exposure and Aerosol Research Study, and they take into account missing data and other data features. The models incorporate turbulence kinetic energy and planetary boundary layer height, meteorological data that are not routinely considered in models that relate central-site concentrations to exposure to health effects. It was found that turbulence kinetic energy was highly statistically significant in explaining the relationship of PM2.5 measured at a particular stationary outdoor air monitoring site with PM2.5 measured outside nearby residences for the temporal coverage of the data.
Relationship between PM2.5 Collected at Residential Outdoor Locations and a Central Site
George, Barbara Jane (author) / Whitaker, Donald A. (author) / Gilliam, Robert C. (author) / Swall, Jenise L. (author) / Williams, Ronald W. (author)
Journal of the Air & Waste Management Association ; 60 ; 1094-1104
2010-09-01
11 pages
Article (Journal)
Electronic Resource
Unknown
British Library Online Contents | 2009
|Impact of residential building regulations on reducing indoor exposures to outdoor PM2.5 in Toronto
British Library Online Contents | 2015
|