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26 August 2022 | Story NONSINDISO QWABE | Photo Boitumelo Molefe
Prof Geofrey Mukwada
Prof Geofrey Mukwada from the Department of Geography on the Qwaqwa Campus delivered his inaugural lecture, which focused on elevation-dependent warming in the Drakensberg Mountain region.

South Africa is generally regarded as a thirsty country due to water scarcity nationally. Even a rise of 0,5 °C in climate temperatures could have devastating effects on the environment.

Delivering his inaugural lecture on 22 August 2022 – a first for the Qwaqwa Campus in many years – Prof Geofrey Mukwada of the Department of Geography at the University of the Free State (UFS) Qwaqwa Campus painted a picture of the long-term effects of climate change on ecological, social, and economic aspects of the environment. The effects of climate change are being felt in all regions of the world, and the Drakensberg region in particular is beginning to bear the brunt.

Elevation-dependent warming a threat to socio-ecological systems

Introducing his topic, The last days of plenty: an assessment of elevation-dependent warming in the Drakensberg Mountain region between 1980 and 2018 and its potential implications for social-ecological systems in the region and downstream communities, Prof Mukwada said ‘last days’ was a euphemism used figuratively to imply the impending loss of environmental resources in the mountains because of climate change.

According to Prof Mukwada, elevation-dependent warming in the Drakensberg would pose serious implications for the overall rural livelihoods, regional trade, and biodiversity conservation.

“The Drakensberg Mountains is made up of a chain of several mountains and is home to a lot of activities. It is important for rural livelihood, including agriculture, cultivation of different forms, fisheries, and tourism, and if the climate is therefore changing and elevation-dependent warming is taking place, we see a threat to socio-ecological systems in many ways.”

In his lecture, Prof Mukwada discussed the three-decade-long investigation to determine if elevation-dependent warming is taking place at several points of the mountains, and to assess its environmental implications for the region and downstream communities. Using a time-series analysis standardised precipitation and evaporation index (SPEI) and monthly maximum temperature and locational and elevation data, the investigation monitored climate change trends between 1980 and 2018.

Development of research-based solutions

He said results did not confirm the existence of elevation-dependent warming in the Drakensberg Mountain region, but statistically significant evidence has shown that the region is becoming warmer and facing increasing aridity.

“It is worrisome in the sense that even such a small change can have devastating effects on the environment.”

In order to avert these problems, Prof Mukwada said a special climate adaptation plan for the region was necessary. The university plays a key role in this, as it can provide guidance on the process of redefining knowledge, scientific understanding and truth, in order to promote sound mountain development interventions and programmes. “We need to shift towards research-based solutions.”

Prof Mukwada is a C2 NRF-rated researcher with expertise in the application of remote sensing and geographic information systems (GIS) in integrated scientific and multidisciplinary environmental research.

News Archive

Mathematical methods used to detect and classify breast cancer masses
2016-08-10

Description: Breast lesions Tags: Breast lesions

Examples of Acho’s breast mass
segmentation identification

Breast cancer is the leading cause of female mortality in developing countries. According to the World Health Organization (WHO), the low survival rates in developing countries are mainly due to the lack of early detection and adequate diagnosis programs.

Seeing the picture more clearly

Susan Acho from the University of the Free State’s Department of Medical Physics, breast cancer research focuses on using mathematical methods to delineate and classify breast masses. Advancements in medical research have led to remarkable progress in breast cancer detection, however, according to Acho, the methods of diagnosis currently available commercially, lack a detailed finesse in accurately identifying the boundaries of breast mass lesions.

Inspiration drawn from pioneer

Drawing inspiration from the Mammography Computer Aided Diagnosis Development and Implementation (CAADI) project, which was the brainchild Prof William Rae, Head of the department of Medical Physics, Acho’s MMedSc thesis titled ‘Segmentation and Quantitative Characterisation of Breast Masses Imaged using Digital Mammography’ investigates classical segmentation algorithms, texture features and classification of breast masses in mammography. It is a rare research topic in South Africa.

 Characterisation of breast masses, involves delineating and analysing the breast mass region on a mammogram in order to determine its shape, margin and texture composition. Computer-aided diagnosis (CAD) program detects the outline of the mass lesion, and uses this information together with its texture features to determine the clinical traits of the mass. CAD programs mark suspicious areas for second look or areas on a mammogram that the radiologist might have overlooked. It can act as an independent double reader of a mammogram in institutions where there is a shortage of trained mammogram readers. 

Light at the end of the tunnel

Breast cancer is one of the most common malignancies among females in South Africa. “The challenge is being able to apply these mathematical methods in the medical field to help find solutions to specific medical problems, and that’s what I hope my research will do,” she says.

By using mathematics, physics and digital imaging to understand breast masses on mammograms, her research bridges the gap between these fields to provide algorithms which are applicable in medical image interpretation.

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