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

被引:17
|
作者
Mashao, Frederick M. [1 ,2 ]
Mothapo, Mologadi C. [1 ]
Munyai, Rendani B. [3 ]
Letsoalo, Josephine M. [1 ]
Mbokodo, Innocent L. [4 ]
Muofhe, Tshimbiluni P. [5 ]
Matsane, Willem [1 ]
Chikoore, Hector [1 ,2 ]
机构
[1] Univ Limpopo, Dept Geog & Environm Studies, ZA-0727 Sovenga, South Africa
[2] Univ Limpopo, Risk & Vulnerabil Sci Ctr, ZA-0727 Sovenga, South Africa
[3] Univ Limpopo, Dept Econ Management Educ & Social Sci Educ, ZA-0727 Sovenga, South Africa
[4] South African Weather Serv, Climate Serv, ZA-0157 Centurion, South Africa
[5] Univ Witwatersrand, Global Change Inst, ZA-2050 Johannesburg, South Africa
关键词
extreme rainfall; cut-off lows; subtropical cyclone; flood risk; Durban; topographic forcing; geo-spatial vulnerability; TRENDS; PRECIPITATION;
D O I
10.3390/w15010050
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
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页数:19
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