Data gaps will leave scientists ‘in the dark’ : how load shedding is obscuring our understanding of air quality
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Date
Authors
Wright, Caradee Yael
Benyon, Matthew
Mahlangeni, Nomfundo
Kapwata, Thandi
Laban, Tracey
Garland, Rebecca M.
Journal Title
Journal ISSN
Volume Title
Publisher
Academy of Science of South Africa
Abstract
SIGNIFICANCE :
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.
Description
Keywords
Air pollution, Air quality management, Environmental health, Rolling blackouts, South Africa (SA), SDG-11: Sustainable cities and communities
Sustainable Development Goals
Citation
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.