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

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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.