Abstract:
Heatwaves can have severe impacts on human health extending from illness to mortality. These health effects are
related to not only the physical phenomenon of heat itself but other characteristics such as frequency, intensity, and
duration of heatwaves. Therefore, understanding heatwave characteristics is a crucial step in the development of
heat-health warning systems (HHWS) that could prevent or reduce negative heat-related health outcomes. However,
there are no South African studies that have quantified heatwaves with a threshold that incorporated a temperature
metric based on a health outcome. To fill this gap, this study aimed to assess the spatial and temporal distribution
and frequency of past (2014 – 2019) and future (period 2020 – 2039) heatwaves across South Africa. Heatwaves were
defined using a threshold for diurnal temperature range (DTR) that was found to have measurable impacts on mortality.
In the current climate, inland provinces experienced fewer heatwaves of longer duration and greater intensity
compared to coastal provinces that experienced heatwaves of lower intensity. The highest frequency of heatwaves
occurred during the austral summer accounting for a total of 150 events out of 270 from 2014 to 2019. The heatwave
definition applied in this study also identified severe heatwaves across the country during late 2015 to early 2016
which was during the strongest El Niño event ever recorded to date. Record-breaking global temperatures were
reported during this period; the North West province in South Africa was the worst affected experiencing heatwaves
ranging from 12 to 77 days. Future climate analysis showed increasing trends in heatwave events with the greatest
increases (80%—87%) expected to occur during summer months. The number of heatwaves occurring in cooler
seasons is expected to increase with more events projected from the winter months of July and August, onwards.
The findings of this study show that the identification of provinces and towns that experience intense, long-lasting
heatwaves is crucial to inform development and implementation of targeted heat-health adaptation strategies. These
findings could also guide authorities to prioritise vulnerable population groups such as the elderly and children living
in high-risk areas likely to be affected by heatwaves.
Description:
Additional file 1. Full names of codes used for districts.
Additional file 2. Heatwave characteristics from 2014 - 2019 as defined
using threshold of 12.8 oC and duration of two days or more.
Additional file 3. Heatwave characteristics for period 2020 – 2039 using
data simulated from RCP 4.5 projections.
Additional file 4. Heatwave characteristics for period 2020 – 2039 using
data simulated from RCP 8.5 projections.