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The Relationship between Odour Annoyance Scores and Modelled Ambient Air Pollution in Sarnia, “Chemical Valley”, Ontario

Author

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  • Dominic Odwa Atari

    (Department of Geography, University of Western Ontario, London, Ontario, N6G 5C2, Canada)

  • Isaac N. Luginaah

    (Department of Geography, University of Western Ontario, London, Ontario, N6G 5C2, Canada)

  • Karen Fung

    (Department of Mathematics and Statistics, University of Windsor, Windsor, Ontario, N9B 3P4, Canada)

Abstract

This study aimed at establishing the relationship between annoyance scores and modelled air pollution in “Chemical Valley”, Sarnia, Ontario (Canada). Annoyance scores were taken from a community health survey (N = 774); and respondents’ exposure to nitrogen dioxide (NO 2 ) and sulphur dioxide (SO 2 ) 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 (NO 2 , r = 0.15; SO 2 , r = 0.13) and census tract (NO 2 , r = 0.56; SO 2 , 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 NO 2 and SO 2 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.

Suggested Citation

  • Dominic Odwa Atari & Isaac N. Luginaah & Karen Fung, 2009. "The Relationship between Odour Annoyance Scores and Modelled Ambient Air Pollution in Sarnia, “Chemical Valley”, Ontario," IJERPH, MDPI, vol. 6(10), pages 1-21, October.
    • Handle: RePEc:gam:jijerp:v:6:y:2009:i:10:p:2655-2675:d:5956
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    References listed on IDEAS

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    Cited by:

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    2. Daxin Dong & Xiaowei Xu & Wen Xu & Junye Xie, 2019. "The Relationship Between the Actual Level of Air Pollution and Residents’ Concern about Air Pollution: Evidence from Shanghai, China," IJERPH, MDPI, vol. 16(23), pages 1-18, November.
    3. Ana Fernández-Somoano & Sabrina Llop & Inmaculada Aguilera & Ibon Tamayo-Uria & María Dolores Martínez & Maria Foraster & Ferran Ballester & Adonina Tardón, 2015. "Annoyance Caused by Noise and Air Pollution during Pregnancy: Associated Factors and Correlation with Outdoor NO 2 and Benzene Estimations," IJERPH, MDPI, vol. 12(6), pages 1-15, June.
    4. Thaddaeus Egondi & Catherine Kyobutungi & Nawi Ng & Kanyiva Muindi & Samuel Oti & Steven Van de Vijver & Remare Ettarh & Joacim Rocklöv, 2013. "Community Perceptions of Air Pollution and Related Health Risks in Nairobi Slums," IJERPH, MDPI, vol. 10(10), pages 1-18, October.
    5. Yulin Guo & Fengfeng Liu & Yuanan Lu & Zongfu Mao & Hanson Lu & Yanyan Wu & Yuanyuan Chu & Lichen Yu & Yisi Liu & Meng Ren & Na Li & Xi Chen & Hao Xiang, 2016. "Factors Affecting Parent’s Perception on Air Quality—From the Individual to the Community Level," IJERPH, MDPI, vol. 13(5), pages 1-14, May.
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