IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v15y2018i7p1452-d157161.html
   My bibliography  Save this article

Land Use Regression Modelling of Outdoor NO 2 and PM 2.5 Concentrations in Three Low Income Areas in the Western Cape Province, South Africa

Author

Listed:
  • Apolline Saucy

    (Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute (Swiss TPH), Socinstrasse 57, CH-4002 Basel, Switzerland
    Faculty of Science, University of Basel, CH-4003 Basel, Switzerland)

  • Martin Röösli

    (Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute (Swiss TPH), Socinstrasse 57, CH-4002 Basel, Switzerland
    Faculty of Science, University of Basel, CH-4003 Basel, Switzerland)

  • Nino Künzli

    (Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute (Swiss TPH), Socinstrasse 57, CH-4002 Basel, Switzerland
    Faculty of Science, University of Basel, CH-4003 Basel, Switzerland)

  • Ming-Yi Tsai

    (Environmental and Occupational Health Sciences, University of Washington, Seattle, WA 98195 USA)

  • Chloé Sieber

    (Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute (Swiss TPH), Socinstrasse 57, CH-4002 Basel, Switzerland
    Faculty of Science, University of Basel, CH-4003 Basel, Switzerland)

  • Toyib Olaniyan

    (Centre for Environmental and Occupational Health Research, School of Public Health and Family Medicine, University of Cape Town, Rondebosch, 7700 Cape Town, South Africa)

  • Roslynn Baatjies

    (Centre for Environmental and Occupational Health Research, School of Public Health and Family Medicine, University of Cape Town, Rondebosch, 7700 Cape Town, South Africa
    Department of Environmental and Occupational Studies, Cape Peninsula University of Technology (CPUT), 8001 Cape Town, South Africa)

  • Mohamed Jeebhay

    (Centre for Environmental and Occupational Health Research, School of Public Health and Family Medicine, University of Cape Town, Rondebosch, 7700 Cape Town, South Africa)

  • Mark Davey

    (Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute (Swiss TPH), Socinstrasse 57, CH-4002 Basel, Switzerland)

  • Benjamin Flückiger

    (Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute (Swiss TPH), Socinstrasse 57, CH-4002 Basel, Switzerland)

  • Rajen N. Naidoo

    (Discipline of Occupational and Environmental Health, School of Nursing and Public Health, University of KwaZulu-Natal, 4041 Durban, South Africa)

  • Mohammed Aqiel Dalvie

    (Centre for Environmental and Occupational Health Research, School of Public Health and Family Medicine, University of Cape Town, Rondebosch, 7700 Cape Town, South Africa)

  • Mahnaz Badpa

    (Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute (Swiss TPH), Socinstrasse 57, CH-4002 Basel, Switzerland
    Faculty of Science, University of Basel, CH-4003 Basel, Switzerland)

  • Kees De Hoogh

    (Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute (Swiss TPH), Socinstrasse 57, CH-4002 Basel, Switzerland
    Faculty of Science, University of Basel, CH-4003 Basel, Switzerland)

Abstract

Air pollution can cause many adverse health outcomes, including cardiovascular and respiratory disorders. Land use regression (LUR) models are frequently used to describe small-scale spatial variation in air pollution levels based on measurements and geographical predictors. They are particularly suitable in resource limited settings and can help to inform communities, industries, and policy makers. Weekly measurements of NO 2 and PM 2.5 were performed in three informal areas of the Western Cape in the warm and cold seasons 2015–2016. Seasonal means were calculated using routinely monitored pollution data. Six LUR models were developed (four seasonal and two annual) using a supervised stepwise land-use-regression method. The models were validated using leave-one-out-cross-validation and tested for spatial autocorrelation. Annual measured mean NO 2 and PM 2.5 were 22.1 μg/m 3 and 10.2 μg/m 3 , respectively. The NO 2 models for the warm season, cold season, and overall year explained 62%, 77%, and 76% of the variance (R 2 ). The PM 2.5 annual models had lower explanatory power (R 2 = 0.36, 0.29, and 0.29). The best predictors for NO 2 were traffic related variables (major roads, bus routes). Local sources such as grills and waste burning sites appeared to be good predictors for PM 2.5 , together with population density. This study demonstrates that land-use-regression modelling for NO 2 can be successfully applied to informal peri-urban settlements in South Africa using similar predictor variables to those performed in Europe and North America. Explanatory power for PM 2.5 models is lower due to lower spatial variability and the possible impact of local transient sources. The study was able to provide NO 2 and PM 2.5 seasonal exposure estimates and maps for further health studies.

Suggested Citation

  • Apolline Saucy & Martin Röösli & Nino Künzli & Ming-Yi Tsai & Chloé Sieber & Toyib Olaniyan & Roslynn Baatjies & Mohamed Jeebhay & Mark Davey & Benjamin Flückiger & Rajen N. Naidoo & Mohammed Aqiel Da, 2018. "Land Use Regression Modelling of Outdoor NO 2 and PM 2.5 Concentrations in Three Low Income Areas in the Western Cape Province, South Africa," IJERPH, MDPI, vol. 15(7), pages 1-14, July.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:7:p:1452-:d:157161
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/15/7/1452/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/15/7/1452/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Eric Coker & Samuel Kizito, 2018. "A Narrative Review on the Human Health Effects of Ambient Air Pollution in Sub-Saharan Africa: An Urgent Need for Health Effects Studies," IJERPH, MDPI, vol. 15(3), pages 1-15, March.
    2. Chloé Sieber & Martina S. Ragettli & Mark Brink & Olaniyan Toyib & Roslyn Baatjies & Apolline Saucy & Nicole Probst-Hensch & Mohamed Aqiel Dalvie & Martin Röösli, 2017. "Land Use Regression Modeling of Outdoor Noise Exposure in Informal Settlements in Western Cape, South Africa," IJERPH, MDPI, vol. 14(10), pages 1-10, October.
    3. Marie-Eve Héroux & H. Anderson & Richard Atkinson & Bert Brunekreef & Aaron Cohen & Francesco Forastiere & Fintan Hurley & Klea Katsouyanni & Daniel Krewski & Michal Krzyzanowski & Nino Künzli & Inga , 2015. "Quantifying the health impacts of ambient air pollutants: recommendations of a WHO/Europe project," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 60(5), pages 619-627, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yan Zhang & Hongguang Cheng & Di Huang & Chunbao Fu, 2021. "High Temporal Resolution Land Use Regression Models with POI Characteristics of the PM 2.5 Distribution in Beijing, China," IJERPH, MDPI, vol. 18(11), pages 1-19, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. James K. Hammitt & Peter Morfeld & Jouni T. Tuomisto & Thomas C. Erren, 2020. "Premature Deaths, Statistical Lives, and Years of Life Lost: Identification, Quantification, and Valuation of Mortality Risks," Risk Analysis, John Wiley & Sons, vol. 40(4), pages 674-695, April.
    2. Cui, X. & Islam, M.R. & Chua, K.J., 2019. "Experimental study and energy saving potential analysis of a hybrid air treatment cooling system in tropical climates," Energy, Elsevier, vol. 172(C), pages 1016-1026.
    3. David Rojas-Rueda & Martine Vrijheid & Oliver Robinson & Aasvang Gunn Marit & Regina Gražulevičienė & Remy Slama & Mark Nieuwenhuijsen, 2019. "Environmental Burden of Childhood Disease in Europe," IJERPH, MDPI, vol. 16(6), pages 1-13, March.
    4. Laurentiu Predescu & Daniel Dunea, 2021. "Performance Evaluation of Particulate Matter and Indoor Microclimate Monitors in University Classrooms under COVID-19 Restrictions," IJERPH, MDPI, vol. 18(14), pages 1-19, July.
    5. Ralf Rittner & Erin Flanagan & Anna Oudin & Ebba Malmqvist, 2020. "Health Impacts from Ambient Particle Exposure in Southern Sweden," IJERPH, MDPI, vol. 17(14), pages 1-12, July.
    6. Giuliano Molinari & Laura Molinari & Elsa Nervo, 2020. "Environmental and Endogenous Acids Can Trigger Allergic-Type Airway Reactions," IJERPH, MDPI, vol. 17(13), pages 1-16, June.
    7. Diyi Liu & Kun Cheng & Kevin Huang & Hui Ding & Tiantong Xu & Zhenni Chen & Yanqi Sun, 2022. "Visualization and Analysis of Air Pollution and Human Health Based on Cluster Analysis: A Bibliometric Review from 2001 to 2021," IJERPH, MDPI, vol. 19(19), pages 1-15, October.
    8. Hammitt, James K. & Tuncel, Tuba, 2023. "Monetary values of increasing life expectancy: sensitivity to shifts of the survival curve," TSE Working Papers 23-1416, Toulouse School of Economics (TSE).
    9. Pinar Korkmaz & Roland Cunha Montenegro & Dorothea Schmid & Markus Blesl & Ulrich Fahl, 2020. "On the Way to a Sustainable European Energy System: Setting Up an Integrated Assessment Toolbox with TIMES PanEU as the Key Component," Energies, MDPI, vol. 13(3), pages 1-36, February.
    10. Daewon Yang & Taeryon Choi & Eric Lavigne & Yeonseung Chung, 2022. "Non‐parametric Bayesian covariate‐dependent multivariate functional clustering: An application to time‐series data for multiple air pollutants," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(5), pages 1521-1542, November.
    11. José Luis Texcalac-Sangrador & Magali Hurtado-Díaz & Eunice Elizabeth Félix-Arellano & Carlos Manuel Guerrero-López & Horacio Riojas-Rodríguez, 2021. "Health and Economic Impacts Assessment of O 3 Exposure in Mexico," IJERPH, MDPI, vol. 18(21), pages 1-10, November.
    12. David Rojas-Rueda & Emily Morales-Zamora & Wael Abdullah Alsufyani & Christopher H. Herbst & Salem M. AlBalawi & Reem Alsukait & Mashael Alomran, 2021. "Environmental Risk Factors and Health: An Umbrella Review of Meta-Analyses," IJERPH, MDPI, vol. 18(2), pages 1-38, January.
    13. Mar Viana & Kostas Karatzas & Athanasios Arvanitis & Cristina Reche & Miguel Escribano & Edurne Ibarrola-Ulzurrun & Paolo Emilio Adami & Fréderic Garrandes & Stéphane Bermon, 2022. "Air Quality Sensors Systems as Tools to Support Guidance in Athletics Stadia for Elite and Recreational Athletes," IJERPH, MDPI, vol. 19(6), pages 1-18, March.
    14. Amy Weimann & Tolu Oni, 2019. "A Systematised Review of the Health Impact of Urban Informal Settlements and Implications for Upgrading Interventions in South Africa, a Rapidly Urbanising Middle-Income Country," IJERPH, MDPI, vol. 16(19), pages 1-17, September.
    15. Tiekwe Joseph Eloge & Ongbayokolak Nadine & Dabou Solange & Phélix Bruno Telefo & Isabella Annesi-Maesano, 2021. "Clinical Manifestations and Changes of Haematological Markers among Active People Living in Polluted City: The Case of Douala, Cameroon," IJERPH, MDPI, vol. 18(2), pages 1-14, January.
    16. Daphne Parliari & Christos Giannaros & Sofia Papadogiannaki & Dimitrios Melas, 2023. "Short-Term Effects of Air Pollution on Mortality in the Urban Area of Thessaloniki, Greece," Sustainability, MDPI, vol. 15(6), pages 1-14, March.
    17. Ali Al-Hemoud & Janvier Gasana & Abdullah N. Al-Dabbous & Ahmad Al-Shatti & Ahmad Al-Khayat, 2018. "Disability Adjusted Life Years (DALYs) in Terms of Years of Life Lost (YLL) Due to Premature Adult Mortalities and Postneonatal Infant Mortalities Attributed to PM 2.5 and PM 10 Exposures in Kuwait," IJERPH, MDPI, vol. 15(11), pages 1-15, November.
    18. Wen-Wen Chang & Hathaichon Boonhat & Ro-Ting Lin, 2020. "Incidence of Respiratory Symptoms for Residents Living Near a Petrochemical Industrial Complex: A Meta-Analysis," IJERPH, MDPI, vol. 17(7), pages 1-16, April.
    19. Olivier Chanel & Laura Perez & Nino Künzli & Sylvia Medina, 2016. "The hidden economic burden of air pollution-related morbidity: evidence from the Aphekom project," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 17(9), pages 1101-1115, December.
    20. Qu, Weihua & Qu, Guohua & Zhang, Xindong & Robert, Dixon, 2021. "The impact of public participation in environmental behavior on haze pollution and public health in China," Economic Modelling, Elsevier, vol. 98(C), pages 319-335.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:15:y:2018:i:7:p:1452-:d:157161. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.