An empirical model for estimating census unit population exposure in areas lacking air quality monitoring
This study presents the methods and results of part of the HAPiNZ (Health and Air Pollution in New Zealand) study. A part of this project was to produce accurate measures of pollution exposure for the entire population of New Zealand living in urban areas. Suitable data are limited in most parts of...
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| Veröffentlicht in: | Journal of exposure science & environmental epidemiology 2008-03, Vol.18 (2), p.200-210 |
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| creator | Kingham, Simon Fisher, Gavin Hales, Simon Wilson, Ionara Bartie, Phil |
| description | This study presents the methods and results of part of the HAPiNZ (Health and Air Pollution in New Zealand) study. A part of this project was to produce accurate measures of pollution exposure for the entire population of New Zealand living in urban areas. Suitable data are limited in most parts of New Zealand with some areas having no monitoring at all. As a result, this project has developed an empirical model to estimate annual exposure values for the whole country down to the census area unit level. This uses surrogate emission indicators and meteorological variables. Data sources used include census data on domestic heating, industrial emissions estimates, vehicle kilometres travelled and meteorological measurements. These were used to calculate annual exposure estimates and were then compared to monitored data for the areas where monitoring data were available. Results show a good association between the model estimates and the monitored data, enabling advanced health effects assessments for the country's entire urban population. |
| doi_str_mv | 10.1038/sj.jes.7500584 |
| format | Article |
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A part of this project was to produce accurate measures of pollution exposure for the entire population of New Zealand living in urban areas. Suitable data are limited in most parts of New Zealand with some areas having no monitoring at all. As a result, this project has developed an empirical model to estimate annual exposure values for the whole country down to the census area unit level. This uses surrogate emission indicators and meteorological variables. Data sources used include census data on domestic heating, industrial emissions estimates, vehicle kilometres travelled and meteorological measurements. These were used to calculate annual exposure estimates and were then compared to monitored data for the areas where monitoring data were available. Results show a good association between the model estimates and the monitored data, enabling advanced health effects assessments for the country's entire urban population.</description><identifier>ISSN: 1559-0631</identifier><identifier>EISSN: 1559-064X</identifier><identifier>DOI: 10.1038/sj.jes.7500584</identifier><identifier>PMID: 17668011</identifier><language>eng</language><publisher>New York: Nature Publishing Group US</publisher><subject>Air monitoring ; Air Pollutants - analysis ; Air pollution ; Air Pollution - analysis ; Air quality ; Census ; Censuses ; Demographic aspects ; Emission measurements ; Emissions ; Environmental Exposure - analysis ; Environmental monitoring ; Epidemiology ; Estimates ; Exposure ; Geographic Information Systems ; Heating ; Humans ; Industrial emissions ; Medicine ; Medicine & Public Health ; Methods ; New Zealand ; Outdoor air quality ; Particulate Matter - analysis ; Regression Analysis ; Risk Assessment - methods ; Urban areas ; Urban Population ; Urban populations ; Weather ; Wood</subject><ispartof>Journal of exposure science & environmental epidemiology, 2008-03, Vol.18 (2), p.200-210</ispartof><rights>Springer Nature America, Inc. 2008</rights><rights>COPYRIGHT 2008 Nature Publishing Group</rights><rights>Copyright Nature Publishing Group Mar 2008</rights><rights>Nature Publishing Group 2008.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c539t-f79e7095bc7c6a6f1bbd530561d9d5bca8e8a1bfdf480b69a4a55ce6003e09473</citedby><cites>FETCH-LOGICAL-c539t-f79e7095bc7c6a6f1bbd530561d9d5bca8e8a1bfdf480b69a4a55ce6003e09473</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,27928,27929</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17668011$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kingham, Simon</creatorcontrib><creatorcontrib>Fisher, Gavin</creatorcontrib><creatorcontrib>Hales, Simon</creatorcontrib><creatorcontrib>Wilson, Ionara</creatorcontrib><creatorcontrib>Bartie, Phil</creatorcontrib><title>An empirical model for estimating census unit population exposure in areas lacking air quality monitoring</title><title>Journal of exposure science & environmental epidemiology</title><addtitle>J Expo Sci Environ Epidemiol</addtitle><addtitle>J Expo Sci Environ Epidemiol</addtitle><description>This study presents the methods and results of part of the HAPiNZ (Health and Air Pollution in New Zealand) study. A part of this project was to produce accurate measures of pollution exposure for the entire population of New Zealand living in urban areas. Suitable data are limited in most parts of New Zealand with some areas having no monitoring at all. As a result, this project has developed an empirical model to estimate annual exposure values for the whole country down to the census area unit level. This uses surrogate emission indicators and meteorological variables. Data sources used include census data on domestic heating, industrial emissions estimates, vehicle kilometres travelled and meteorological measurements. These were used to calculate annual exposure estimates and were then compared to monitored data for the areas where monitoring data were available. Results show a good association between the model estimates and the monitored data, enabling advanced health effects assessments for the country's entire urban population.</description><subject>Air monitoring</subject><subject>Air Pollutants - analysis</subject><subject>Air pollution</subject><subject>Air Pollution - analysis</subject><subject>Air quality</subject><subject>Census</subject><subject>Censuses</subject><subject>Demographic aspects</subject><subject>Emission measurements</subject><subject>Emissions</subject><subject>Environmental Exposure - analysis</subject><subject>Environmental monitoring</subject><subject>Epidemiology</subject><subject>Estimates</subject><subject>Exposure</subject><subject>Geographic Information Systems</subject><subject>Heating</subject><subject>Humans</subject><subject>Industrial emissions</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Methods</subject><subject>New Zealand</subject><subject>Outdoor air 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results of part of the HAPiNZ (Health and Air Pollution in New Zealand) study. 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| identifier | ISSN: 1559-0631 |
| ispartof | Journal of exposure science & environmental epidemiology, 2008-03, Vol.18 (2), p.200-210 |
| issn | 1559-0631 1559-064X |
| language | eng |
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| source | MEDLINE; Alma/SFX Local Collection |
| subjects | Air monitoring Air Pollutants - analysis Air pollution Air Pollution - analysis Air quality Census Censuses Demographic aspects Emission measurements Emissions Environmental Exposure - analysis Environmental monitoring Epidemiology Estimates Exposure Geographic Information Systems Heating Humans Industrial emissions Medicine Medicine & Public Health Methods New Zealand Outdoor air quality Particulate Matter - analysis Regression Analysis Risk Assessment - methods Urban areas Urban Population Urban populations Weather Wood |
| title | An empirical model for estimating census unit population exposure in areas lacking air quality monitoring |
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