IDEAS home Printed from https://ideas.repec.org/a/gam/jcltec/v4y2022i3p43-713d870742.html
   My bibliography  Save this article

A Simplified Model for Estimating Household Air Pollution in Challenging Contexts: A Case Study from Ghana

Author

Listed:
  • Giovanni Vinti

    (Research Centre for Appropriate Technologies for Environmental Management in Resource-Limited Countries (CeTAmb), University of Brescia, Via Branze 43, 25123 Brescia, Italy)

  • Mentore Vaccari

    (Research Centre for Appropriate Technologies for Environmental Management in Resource-Limited Countries (CeTAmb), University of Brescia, Via Branze 43, 25123 Brescia, Italy)

Abstract

Almost three billion people rely primarily on inefficient and polluting cooking systems worldwide. Household air pollution is a direct consequence of this practice, and it is annually associated with millions of premature deaths and diseases, mainly in low- and lower-middle-income countries. The use of improved cookstoves often represents an appropriate solution to reduce such health risks. However, in the distribution of such units, it can be necessary to prioritize the beneficiaries. Thus, in this study, we conducted field research involving five rural villages in the Northern part of Ghana, where using three-stone fires or rural stoves was common. Concentrations of PM 2.5 , PM 10 , and carbon monoxide (CO) were measured indoors and outdoors. Considering each field mission lasted less than 24 h, assumptions were made so as to calculate the average pollutant concentrations in 24 h through a new, simplified equation that combined efficiency and cost-savings by shortening field assessments. The obtained values were compared with international guidelines. The results showed that PM 2.5 and PM 10 limits were overstepped in two villages, which should thus be prioritized. However, further research will be necessary to strengthen and validate our proposed equation, which must be seen as a starting point.

Suggested Citation

  • Giovanni Vinti & Mentore Vaccari, 2022. "A Simplified Model for Estimating Household Air Pollution in Challenging Contexts: A Case Study from Ghana," Clean Technol., MDPI, vol. 4(3), pages 1-11, July.
    • Handle: RePEc:gam:jcltec:v:4:y:2022:i:3:p:43-713:d:870742
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2571-8797/4/3/43/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2571-8797/4/3/43/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Laura M. Grajeda & Lisa M. Thompson & William Arriaga & Eduardo Canuz & Saad B. Omer & Michael Sage & Eduardo Azziz-Baumgartner & Joe P. Bryan & John P. McCracken, 2020. "Effectiveness of Gas and Chimney Biomass Stoves for Reducing Household Air Pollution Pregnancy Exposure in Guatemala: Sociodemographic Effect Modifiers," IJERPH, MDPI, vol. 17(21), pages 1-14, October.
    2. Gavin Shaddick & Matthew L. Thomas & Amelia Green & Michael Brauer & Aaron van Donkelaar & Rick Burnett & Howard H. Chang & Aaron Cohen & Rita Van Dingenen & Carlos Dora & Sophie Gumy & Yang Liu & Ran, 2018. "Data integration model for air quality: a hierarchical approach to the global estimation of exposures to ambient air pollution," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 67(1), pages 231-253, January.
    Full references (including those not matched with items on IDEAS)

    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. Xiaoyu Xiong & Benjamin D. Youngman & Theodoros Economou, 2021. "Data fusion with Gaussian processes for estimation of environmental hazard events," Environmetrics, John Wiley & Sons, Ltd., vol. 32(3), May.
    2. Zhao-Yue Chen & Hervé Petetin & Raúl Fernando Méndez Turrubiates & Hicham Achebak & Carlos Pérez García-Pando & Joan Ballester, 2024. "Population exposure to multiple air pollutants and its compound episodes in Europe," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    3. C. Forlani & S. Bhatt & M. Cameletti & E. Krainski & M. Blangiardo, 2020. "A joint Bayesian space–time model to integrate spatially misaligned air pollution data in R‐INLA," Environmetrics, John Wiley & Sons, Ltd., vol. 31(8), December.
    4. Oliver Stoner & Gavin Shaddick & Theo Economou & Sophie Gumy & Jessica Lewis & Itzel Lucio & Giulia Ruggeri & Heather Adair‐Rohani, 2020. "Global household energy model: a multivariate hierarchical approach to estimating trends in the use of polluting and clean fuels for cooking," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 69(4), pages 815-839, August.
    5. Alexander Kreuzer & Luciana Dalla Valle & Claudia Czado, 2022. "A Bayesian non‐linear state space copula model for air pollution in Beijing," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(3), pages 613-638, June.
    6. Eric S. Coker & Laura Cavalli & Enrico Fabrizi & Gianni Guastella & Enrico Lippo & Maria Laura Parisi & Nicola Pontarollo & Massimiliano Rizzati & Alessandro Varacca & Sergio Vergalli, 2020. "The Effects of Air Pollution on COVID-19 Related Mortality in Northern Italy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(4), pages 611-634, August.
    7. Niru Senthilkumar & Mark Gilfether & Francesca Metcalf & Armistead G. Russell & James A. Mulholland & Howard H. Chang, 2019. "Application of a Fusion Method for Gas and Particle Air Pollutants between Observational Data and Chemical Transport Model Simulations Over the Contiguous United States for 2005–2014," IJERPH, MDPI, vol. 16(18), pages 1-15, September.
    8. Chen, Yewen & Chang, Xiaohui & Luo, Fangzhi & Huang, Hui, 2023. "Additive dynamic models for correcting numerical model outputs," Computational Statistics & Data Analysis, Elsevier, vol. 187(C).
    9. Jonathan Thornburg & Sajia Islam & Sk Masum Billah & Brianna Chan & Michelle McCombs & Maggie Abbott & Ashraful Alam & Camille Raynes-Greenow, 2022. "Pregnant Women’s Exposure to Household Air Pollution in Rural Bangladesh: A Feasibility Study for Poriborton: The CHANge Trial," IJERPH, MDPI, vol. 19(1), pages 1-13, January.

    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:jcltec:v:4:y:2022:i:3:p:43-713:d:870742. 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.