EGU26-14584, updated on 14 Mar 2026
https://doi.org/10.5194/egusphere-egu26-14584
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
PICO | Friday, 08 May, 08:53–08:55 (CEST)
 
PICO spot 4, PICO4.9
Event-based Attribution of the April 2022 Durban Flood
Sophie Biskop1, Fabian Schreiter1, Sven Kralisch1,2, and Francois Engelbrecht3
Sophie Biskop et al.
  • 1Department of Geography, Friedrich Schiller University, Jena, Germany (sophie.biskop@uni-jena.de)
  • 2Flood Prediction Centre, State Office for Environment, Mining and Nature Conservation, Jena, Germany
  • 3Global Change Institute, University of the Witwatersrand, Johannesburg, South Africa

South Africa experienced its most severe flood disaster in recorded history on 11–12 April 2022, when extreme rainfall triggered catastrophic flooding in the greater Durban area, resulting in 544 fatalities. Durban, like many southern African cities, is characterised by rapid urbanisation, the expansion of informal settlements in flood-prone areas, and limited adaptive capacity, leading to high flood risk during heavy rainfall events. Understanding how these interacting drivers shape flood hazard and risk, and disentangling the role of anthropogenic climate change from other controls, remains a key challenge. While attribution studies are increasingly capable of quantifying the effects of climate change on extreme rainfall, equivalent assessments for river flood magnitudes remain scarce. A direct translation of rainfall intensification into flood severity cannot be assumed, as flood generation is strongly modulated by antecedent catchment conditions, runoff processes and river network characteristics. This study applies a hydro-climatic, event-based attribution framework to investigate the April 2022 Durban flood. An ensemble of atmospheric model reconstructions of rainfall during 11-12 April 2022 is used to drive a hydrological model under counterfactual cooler and factual warmer (present-day) climate conditions. By explicitly representing catchment processes, the framework allows us to assess how climate change altered flood magnitude and timing (rather to focus only on rainfall), and to explore the sensitivity of flood magnitude to pre-event hydrological conditions. We find that peak flow in the Mlazi River was substantially increased by climate-change-amplified rainfall totals, thereby establishing a direct causal link between anthropogenic greenhouse gas forcing and the 2022 Durban flood. The results contribute to understanding the relative roles of atmospheric forcing and catchment controls in shaping extreme flood outcomes. Conducted as part of the WaRisCo project within the Water Security in Africa (WASA) programme, this study provides an urgent message for the need for climate-smart Disaster Risk Reduction as well as for longer-term adaptation in the greater Durban area.

How to cite: Biskop, S., Schreiter, F., Kralisch, S., and Engelbrecht, F.: Event-based Attribution of the April 2022 Durban Flood, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14584, https://doi.org/10.5194/egusphere-egu26-14584, 2026.