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

Authors

  • Caradee Y. Wright 1.Environment and Health Research Unit, South African Medical Research Council, Pretoria, South Africa; 2.Department of Geography, Geoinformatics and Meteorology, University of Pretoria, Pretoria, South Africa https://orcid.org/0000-0001-9608-818X
  • Matthew Benyon 1.Centre for Environmental Health and Sustainability, University of Leicester, Leicester, United Kingdom; 2.Institute for Environmental Futures, University of Leicester, Leicester, United Kingdom
  • Nomfundo Mahlangeni Environment and Health Research Unit, South African Medical Research Council, Cape Town, South Africa https://orcid.org/0000-0001-8655-2794
  • Thandi Kapwata 1.Environment and Health Research Unit, South African Medical Research Council, Johannesburg, South Africa; 2.Department of Environmental Health, Faculty of Health Sciences, University of Johannesburg, Johannesburg, South Africa https://orcid.org/0000-0003-2518-6764
  • Tracey Laban Environment and Health Research Unit, South African Medical Research Council, Pretoria, South Africa https://orcid.org/0000-0002-5799-8663
  • Rebecca M. Garland Department of Geography, Geoinformatics and Meteorology, University of Pretoria, Pretoria, South Africa https://orcid.org/0000-0002-1855-8622

DOI:

https://doi.org/10.17159/sajs.2023/16009

Keywords:

air pollution, air quality management, environmental health, rolling blackouts, South Africa

Published

2023-08-31

How to Cite

Wright, 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

Issue

Section

Discussions on Load Shedding Commentary

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