Extreme Rainfall and Flood Risk Prediction over the East Coast of South Africa

Author:

Mashao Frederick M.ORCID,Mothapo Mologadi C.,Munyai Rendani B.,Letsoalo Josephine M.,Mbokodo Innocent L.ORCID,Muofhe Tshimbiluni P.ORCID,Matsane WillemORCID,Chikoore HectorORCID

Abstract

Extreme rainfall associated with mid-tropospheric cut-off low (COL) pressure systems affected the entire east coast of South Africa during April 2022, leading to flooding and destruction of homes, electricity power lines, and road infrastructure, and leaving 448 people confirmed dead. Therefore, this study investigated the evolution of the two COLs and their impacts, including the occurrence of extreme rainfall and cold weather over the southeast coast of the country. We analysed observed and reanalysis meteorological data and mapped areas at risk to impacts of flood hazards on the east coast of South Africa. Extreme rainfall (>500 mm) accumulated over 16 days was observed along the east coast, with the amount of rainfall progressively decreasing inland. We found that the rainfall associated with the first COL was significantly enhanced by the interactions between a strong low-level onshore airflow across the Agulhas Current and the coastal escarpment, resulting in deep convection and lifting. An unusual surface cyclone with tropical characteristics developed over the subtropical southwest Indian Ocean, driving onshore southeasterly winds which enhanced low-level convergence. Moreover, the flood risk results revealed that, amongst others, land cover/use (52.8%), elevation (16.8%) and lithology (15.5%) were the most important flood predictor variables in this study. Much of the study area was found to have very low (28.33%), low (31.82%), and moderate (21.66%) flood risk, whilst the high- and very-high-risk areas accounted for only 17.5% of the total land area. Nonetheless, the derived flood risk map achieved an acceptable level of accuracy of about 89.9% (Area Under Curve = 0.899). The findings of this study contribute to understanding extreme rainfall events and the vulnerability of settlements on South Africa’s east coast to flood risk, which can be used towards natural disaster risk reduction.

Publisher

MDPI AG

Subject

Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry

Reference61 articles.

1. Hoegh-Guldberg, O., Jacob, D., Bindi, M., Brown, S., Camilloni, I., Diedhiou, A., Djalante, R., Ebi, K., Engelbrecht, F., and Guiot, J. (2018). Impacts of 1.5 °C Global Warming on Natural and Human Systems, IPCC Secretariat. Global Warming of 1.5 °C.

2. Gijben, M., and de Coning, C. (2017). Using Satellite and Lightning Data to Track Rapidly Developing Thunderstorms in Data Sparse regions. Atmospher, 8.

3. Mbokodo, I., Bopape, M.-J., Chikoore, H., Engelbrecht, F., and Nethengwe, N. (2020). Heatwaves in the Future Warmer Climate of South Africa. Atmosphere, 11.

4. Scholes, R., and Engelbrecht, F. (2021). Climate Impacts in Southern Africa during the 21st Century, Global Change Institute, University of the Witwatersrand. Report for Earthjustice and the Centre for Environmental Rights.

5. Climate change impacts and adaptation in South Africa;Ziervogel;Wiley Interdiscip. Rev. Clim. Change,2014

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