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04 April 2019 | Story Leonie Bolleurs | Photo JohanRoux
Prof Chapagain  Inaugural
Prof Ashok Chapagain, Senior Professor in the Department of Agricultural Economics, recently delivered his inaugural lecture on the university’s Bloemfontein Campus. The title of his lecture was Counting Water: Simple yet Complex. From the left are: Dr Engela van Staden, Vice-Rector: Academic; Prof Ashok, Dr Frikkie Maré, Head of the Department of Agricultural Economics; and Prof Danie Vermeulen, Dean of the Faculty of Natural and Agricultural Sciences.

Virtually every economic sector, from agriculture, power generation, manufacturing, beverage, and apparel to tourism, relies on fresh water to sustain its business. Yet, water scarcity and water-pollution levels in river basins around the world are increasing due to growing populations, changing consumption patterns, and poor water governance.

These are the words of Prof Ashok Chapagain, Senior Professor in the Department of Agricultural Economics at the University of the Free State (UFS), who recently delivered his inaugural lecture on the university’s Bloemfontein Campus. The title of his lecture was Counting Water: Simple yet Complex.

He believes that in a world of increasing interconnectedness, equitable and sustainable resource management has become not only a local phenomenon, but also a global one. “The critical factors in managing these resources lie at both ends of the production and consumption chains. The interlinkages between agriculture, trade, economic, and energy policy and water-resources management must be understood,” he said.

Water footprint from farm to cup

The water footprint of a product is the volume of fresh water used to produce the product, measured over the various steps of the production chain. Water use is measured in terms of water volumes consumed or polluted, e.g. a cup of black coffee would take 140 litres of water as a result of water used in various processes, from the farm to the cup! 

Prof Chapagain said: “With the emergence of the water footprint concept, the public could for the first time see that the issue is not only related to direct water use in their houses, but also to their consumption of goods and services, such as food, fibre, and electricity. For example, a developed nation would typically state their water consumption data as around 100-200 litres per capita per day. This information is misleading, as it does not capture the massive amount of water needed to produce food, goods, and services consumed by the nation, which makes the daily water consumption a whopping 3 000-8 000 litres in these developed nations. Consumers, governments, and businesses are beginning to understand how their interests could be sustained in the long run, using this new approach to water-resource management.”

He also spoke about water as an economic enabler. According to him, harnessing the full benefit of water is constrained by three limits: hydrological limits, limits in production efficiency, limits and risks in externalising water footprints. He further elaborated, “Each river basin is unique with respect to amount of rainfall and pattern, rainfall-runoff relation, total available runoff, environmental flow requirements, groundwater recharge, etc. The actual available quantity of water is determined by all these parameters. Hence, there is a hydrological limit to water use in a river basin/aquifers”. He said: “On the other hand, making a process more efficient comes at a price, marking a limit on local efficiency gains. Similarly, importing virtual water to relieve pressure on local water resources would require second-order resources such as foreign currency, and a political will to move from a ‘water and food self-sufficiency’ policy towards a ‘water and food security’ policy. Enhancing the global water-use efficiency by means of trade has socio-economic limitations.” His current research focuses on unravelling these limits to growth, and on developing a generic analytical framework to find optimal solutions to growth under these water limits.

Trade can relieve the strain

Regarding the latter, he said trade in water-intensive goods and services could help relieve the strain on local/national water resources. For example, Switzerland covers merely 18% of its water demand from its internal water resources, i.e. 82% of it is external! South Africa’s external water footprint is only 22% of the total water footprint of national consumption. Hence, the scope of international trade to help alleviate local scarcity is limited by the availability of second-order resources such as foreign exchange, institutional capacity, socio-political context, etc. 

However, globalisation of fresh water brings both risks and opportunities. “Although national water resources could be saved for best alternative uses, the risks of a growing external dependency and the associated risks related to events elsewhere, are often not visible. These water-intensive production processes are vulnerable to the availability of water at the various locations where the production processes take place. The vulnerabilities may result from a range of factors – from reduced river flows, lowered lake levels, and declined ground-water tables to increased salt intrusion in coastal areas, pollution of freshwater bodies, droughts, and a changing climate,” he said.

Water footprint assessment

Prof Chapagain also touched on the Water Footprint Assessment; he believes it has provided a sound method to analyse the water footprint in the relevant context and formulate appropriate response strategies. “The water-footprint assessment breaks down the different water-footprint components and checks the sustainability of these components against three sets of criteria: environmental, economic, and social. The application of the Water Footprint Assessment has evolved from basic quantitative studies to a powerful advocacy tool that can support decision-making and policy processes and help mitigate water-related business risk.

“Counting water drops is simple, yet unravelling the underlying complexities is the key! I count on you to start by counting water drops in counting for sustainable growth,” he concluded.

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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