{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,3]],"date-time":"2026-10-03T16:48:57Z","timestamp":1791046137884,"version":"4.1.0"},"reference-count":46,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2009,10,16]],"date-time":"2009-10-16T00:00:00Z","timestamp":1255651200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJERPH"],"abstract":"<jats:p>This study aimed at establishing the relationship between annoyance scores and modelled air pollution in \u201cChemical Valley\u201d, Sarnia, Ontario (Canada). Annoyance scores were taken from a community health survey (N = 774); and respondents\u2019 exposure to nitrogen dioxide (NO2) and sulphur dioxide (SO2) were estimated using land use regression (LUR) models. The associations were examined by univariate analysis while multivariate logistic regression was used to examine the determinants of odour annoyance. The results showed that odour annoyance was significantly correlated to modelled pollutants at the individual (NO2, r = 0.15; SO2, r = 0.13) and census tract (NO2, r = 0.56; SO2, r = 0.67) levels. The exposure-response relationships show that residents of Sarnia react to very low pollution concentrations levels even if they are within the Ontario ambient air quality criteria. The study found that exposure to high NO2 and SO2 concentrations, gender, and perception of health effects were significant determinants of individual odour annoyance reporting. The observed association between odour annoyance and modelled ambient pollution suggest that individual and census tract level annoyance scores may serve as proxies for air quality in exposed communities because they capture the within area spatial variability of pollution. However, questionnaire-based odour annoyance scores need to be validated longitudinally and across different scales if they are to be adopted for use at the national level.<\/jats:p>","DOI":"10.3390\/ijerph6102655","type":"journal-article","created":{"date-parts":[[2009,10,17]],"date-time":"2009-10-17T12:59:21Z","timestamp":1255784361000},"page":"2655-2675","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":53,"title":["The Relationship between Odour Annoyance Scores and Modelled Ambient Air Pollution in Sarnia, \u201cChemical Valley\u201d, Ontario"],"prefix":"10.3390","volume":"6","author":[{"given":"Dominic Odwa","family":"Atari","sequence":"first","affiliation":[{"name":"Department of Geography, University of Western Ontario, London, Ontario, N6G 5C2, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7858-3048","authenticated-orcid":false,"given":"Isaac N.","family":"Luginaah","sequence":"additional","affiliation":[{"name":"Department of Geography, University of Western Ontario, London, Ontario, N6G 5C2, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Karen","family":"Fung","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Statistics, University of Windsor, Windsor, Ontario, N9B 3P4, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2009,10,16]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1007","DOI":"10.1289\/ehp.6738","article-title":"Using geographic information systems for exposure assessment in environmental epidemiology studies","volume":"112","author":"Nuckols","year":"2004","journal-title":"Environ. 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