Data gaps will leave scientists ‘in the dark’ : how load shedding is obscuring our understanding of air quality

dc.contributor.authorWright, Caradee Yael
dc.contributor.authorBenyon, Matthew
dc.contributor.authorMahlangeni, Nomfundo
dc.contributor.authorKapwata, Thandi
dc.contributor.authorLaban, Tracey
dc.contributor.authorGarland, Rebecca M.
dc.date.accessioned2023-11-07T10:46:03Z
dc.date.available2023-11-07T10:46:03Z
dc.date.issued2023-09
dc.description.abstractSIGNIFICANCE : South Africa’s scheduled power outages, commonly known as load shedding, are increasing each year due to instability and poor performance of the existing fleet of power stations supplying electricity. The power provider projects that there will be load shedding every week for the next year. Data availability from the existing air quality monitoring stations infrastructure is already sparse over South Africa. Increased load shedding exacerbates this issue as power outages disrupt equipment operation. The collection of long-term and continuous ambient air quality data is needed for air quality-related research, policy and strategy development, and air quality management. The introduction of air quality monitors that are reliable and climate-friendly, such as passive samples, rechargeable battery-powered sensors and renewable energy powered sensors, might be interim interventions to ensure continuous data collection.en_US
dc.description.departmentGeography, Geoinformatics and Meteorologyen_US
dc.description.librarianhj2023en_US
dc.description.sponsorshipUniversity of Leicester, South African Medical Research Council, South African National Treasury.en_US
dc.description.urihttp://www.sajs.co.zaen_US
dc.identifier.citationWright, C. Y., Benyon, M., Mahlangeni, N., Kapwata, T., Laban, T., & Garland, R. M. (2023). Data gaps will leave scientists ‘in the dark’: How load shedding is obscuring our understanding of air quality. South African Journal of Science, 119(9/10). https://doi.org/10.17159/sajs.2023/16009.en_US
dc.identifier.issn0038-2353 (print)
dc.identifier.issn1996-7489 (online)
dc.identifier.other10.17159/sajs.2023/16009
dc.identifier.urihttp://hdl.handle.net/2263/93183
dc.language.isoenen_US
dc.publisherAcademy of Science of South Africaen_US
dc.rights© 2023. The Author(s). Published under a Creative Commons Attribution Licence.en_US
dc.subjectAir pollutionen_US
dc.subjectAir quality managementen_US
dc.subjectEnvironmental healthen_US
dc.subjectRolling blackoutsen_US
dc.subjectSouth Africa (SA)en_US
dc.subjectSDG-11: Sustainable cities and communitiesen_US
dc.titleData gaps will leave scientists ‘in the dark’ : how load shedding is obscuring our understanding of air qualityen_US
dc.typeArticleen_US

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