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12 November 2018 | Story Leonie Bolleurs | Photo Stephen Collett
Inaugural lecture focuses on aspects of soil classification
Prof Cornie Van Huyssteen delivered his inaugural lecture on the topic: ‘The world in a grain of sand’, at the ninth inaugural lecture at the UFS this year.
Humans classify their environment to create order, make it more understandable, aid recollection and to communicate. As important it is for humans to classify their environments, so it is to classify soil, said Prof Cornie van Huyssteen.

Prof Van Huyssteen has studied and recorded data on soil worldwide to find the most appropriate use of land, in among others, the agriculture and mining sector and for urban development. 

It is all about soil

He was vice-chair of the International Union of Soil Sciences working group for the World Reference Base, and president of the Soil Science Society of South Africa. From 1991 to 1999 he worked at the Institute for Soil, Climate and Water of the Agricultural Research Council, where he aided in the land type survey and spatial analysis of soil data.

At his recent inauguration to full professor Prof Van Huyssteen delivered the ninth inaugural lecture at the University of the Free State’s Bloemfontein Campus for 2018, talking about a matter close to his heart, soil. He titled the lecture: ‘The world in a grain of sand’. 

Relevant to irrigation scheduling

A professor in the UFS Department of Soil, Crop and Climate Sciences, Prof Van Huyssteen’s research focuses on the relationship between soil morphology and soil hydrology. It can mostly be applied to hydropedology, wetland delineation, urban development, mining EIAs, irrigation scheduling and soil classification.

Prof Van Huyssteen joined the UFS in 2000, and in 2004, he completed his PhD in Soil Science. He is also author or co-author of 25 reviewed papers.

News Archive

Dr Abdon Atangana cements his research globally by solving fractional calculus problem
2014-12-03

 

Dr Abdon Atangana

To publish 29 papers in respected international journals – and all of that in one year – is no mean feat. Postdoctoral researcher Abdon Atangana at the Institute for Groundwater Studies at the University of the Free State (UFS) reached this mark by October 2014, shortly before his 29th birthday.

His latest paper, ‘Modelling the Advancement of the Impurities and the Melted Oxygen concentration within the Scope of Fractional Calculus’, has been accepted for publication by the International Journal of Non-Linear Mechanics.

In previously-published research he solved a problem in the field of fractional calculus by introducing a fractional derivative called ‘Beta-derivative’ and its anti-derivative called ‘Atangana-Beta integral’, thereby cementing his research in this field.

Dr Atangana, originally from Cameroon, received his PhD in Geohydrology at the UFS in 2013. His research interests include:
• the theory of fractional calculus;
• modelling real world problems with fractional order derivatives;
• applications of fractional calculus;
• analytical methods for partial differential equations;
• analytical methods for ordinary differential equations;
• numerical methods for partial and ordinary differential equations; and
• iterative methods and uncertainties modelling.

Dr Atangana says that, “Applied mathematics can be regarded as the bridge between theory and practice. The use of mathematical tools for solving real world problems is as old as creation itself. As written in the book Genesis ‘And God saw the light, that it was good; and divided the light from the darkness’, the word division appears here as the well-known method of separation of variables, this method is usually employed to solve a class of linear partial differential equations”.

“A mathematical model is a depiction of a system using mathematical concepts and language. The procedure of developing a mathematical model is termed mathematical modelling. Mathematical models are used not only in natural sciences, but also in social sciences such as economics, psychology, sociology and political sciences. These models help to explain systems and to study the effects of different components, and to make predictions about behaviours.”

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