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Relationship between PM2.5 Collected at Residential Outdoor Locations and a Central Site
Regression models are developed to describe the relationship between ambient PM 2.5 (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...
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Published in: | Journal of the Air & Waste Management Association (1995) 2010-09, Vol.60 (9), p.1094-1104 |
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container_end_page | 1104 |
container_issue | 9 |
container_start_page | 1094 |
container_title | Journal of the Air & Waste Management Association (1995) |
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creator | George, Barbara Jane Whitaker, Donald A. Gilliam, Robert C. Swall, Jenise L. Williams, Ronald W. |
description | Regression models are developed to describe the relationship between ambient PM
2.5
(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 PM
2.5
measured at a particular stationary outdoor air monitoring site with PM
2.5
measured outside nearby residences for the temporal coverage of the data. |
doi_str_mv | 10.3155/1047-3289.60.9.1094 |
format | article |
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2.5
(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 PM
2.5
measured at a particular stationary outdoor air monitoring site with PM
2.5
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2.5
(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 PM
2.5
measured at a particular stationary outdoor air monitoring site with PM
2.5
measured outside nearby residences for the temporal coverage of the data.</description><subject>Aerodynamics</subject><subject>Air Pollutants - chemistry</subject><subject>Exposure</subject><subject>Fluid flow</subject><subject>Kinetic energy</subject><subject>Logistic Models</subject><subject>Models, Theoretical</subject><subject>Monitors</subject><subject>Outdoor</subject><subject>Particle Size</subject><subject>Particulate Matter - chemistry</subject><subject>Regression</subject><subject>Time Factors</subject><subject>Turbulent flow</subject><subject>Uncertainty</subject><issn>1096-2247</issn><issn>2162-2906</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNqF0c9rVDEQB_BQlHb74y8oSG56ec_8eEleLoIsaoWVSq3QW5iX5NFI9mVNspT-92bZetXTwMxn5jBfhK4p6TkV4j0lg-o4G3UvSa97SvRwglaMStYxTeQrtGot2TE2qDN0XsovQigjozpFZ61ITsSwQg93PkINaSmPYYcnX5-8X_D3b6wXeJ1i9LZ6h6HiO1-C80sNEPHtvrqUMt4ke9zFsDSE122e2_xHqP4SvZ4hFn_1Ui_Qz8-f7tc33eb2y9f1x00XuBK149I5UFyIwQ2zHKSSAqzVnGttAZwCO8-MTn6cuVaWW2-lg9FqmB1MclL8Ar093t3l9HvvSzXbUKyPERaf9sWMVEmidbv4P6mEaFYw3eS7f0qqlKJEKUkbffNC99PWO7PLYQv52fz9cAMfjiAsc8pbeEo5OlPhOaY8Z1hsKIZTYg6RmkOk5hCpkcRoc4iU_wGTuJHL</recordid><startdate>20100901</startdate><enddate>20100901</enddate><creator>George, Barbara Jane</creator><creator>Whitaker, Donald A.</creator><creator>Gilliam, Robert C.</creator><creator>Swall, Jenise L.</creator><creator>Williams, Ronald W.</creator><general>Taylor & Francis Group</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7SU</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>KR7</scope><scope>7X8</scope><scope>7ST</scope><scope>7TG</scope><scope>7TV</scope><scope>KL.</scope><scope>SOI</scope></search><sort><creationdate>20100901</creationdate><title>Relationship between PM2.5 Collected at Residential Outdoor Locations and a Central Site</title><author>George, Barbara Jane ; Whitaker, Donald A. ; Gilliam, Robert C. ; Swall, Jenise L. ; Williams, Ronald W.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i375t-36dda73554d4f646765acc93399caad7acff21be8f397c3cec6da8c9afdab6b73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Aerodynamics</topic><topic>Air Pollutants - chemistry</topic><topic>Exposure</topic><topic>Fluid flow</topic><topic>Kinetic energy</topic><topic>Logistic Models</topic><topic>Models, Theoretical</topic><topic>Monitors</topic><topic>Outdoor</topic><topic>Particle Size</topic><topic>Particulate Matter - chemistry</topic><topic>Regression</topic><topic>Time Factors</topic><topic>Turbulent flow</topic><topic>Uncertainty</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>George, Barbara Jane</creatorcontrib><creatorcontrib>Whitaker, Donald A.</creatorcontrib><creatorcontrib>Gilliam, Robert C.</creatorcontrib><creatorcontrib>Swall, Jenise L.</creatorcontrib><creatorcontrib>Williams, Ronald W.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>Environmental Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Pollution Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Environment Abstracts</collection><jtitle>Journal of the Air & Waste Management Association (1995)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>George, Barbara Jane</au><au>Whitaker, Donald A.</au><au>Gilliam, Robert C.</au><au>Swall, Jenise L.</au><au>Williams, Ronald W.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Relationship between PM2.5 Collected at Residential Outdoor Locations and a Central Site</atitle><jtitle>Journal of the Air & Waste Management Association (1995)</jtitle><addtitle>J Air Waste Manag Assoc</addtitle><date>2010-09-01</date><risdate>2010</risdate><volume>60</volume><issue>9</issue><spage>1094</spage><epage>1104</epage><pages>1094-1104</pages><issn>1096-2247</issn><eissn>2162-2906</eissn><abstract>Regression models are developed to describe the relationship between ambient PM
2.5
(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 PM
2.5
measured at a particular stationary outdoor air monitoring site with PM
2.5
measured outside nearby residences for the temporal coverage of the data.</abstract><cop>United States</cop><pub>Taylor & Francis Group</pub><pmid>20863054</pmid><doi>10.3155/1047-3289.60.9.1094</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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language | eng |
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source | Taylor and Francis Science and Technology Collection |
subjects | Aerodynamics Air Pollutants - chemistry Exposure Fluid flow Kinetic energy Logistic Models Models, Theoretical Monitors Outdoor Particle Size Particulate Matter - chemistry Regression Time Factors Turbulent flow Uncertainty |
title | Relationship between PM2.5 Collected at Residential Outdoor Locations and a Central Site |
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