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The from the presentation by Professor David Chittleborough and Professor Graeme Dandy is now available for download.

The Water Research Centre in conjunction with the presented a special Water Wednesday featuring from the School of Earth & Environmental Sciences and from the School of Civil, Environmental & Mining Engineering on Wednesday 10 July 2013.

The presentation titled What the world should know about water discussed present and future demands for water.

Professor David Chittleborough

School of Earth & Environmental Sciences, ³ÉÈË´óƬ

Professor David Chittleborough received his PhD in Pedology in 1982 at the ³ÉÈË´óƬ. At the time he was a field pedologist mapping soils in central South Australia. He joined the Department of Soil Science of the ³ÉÈË´óƬ in 1983 at which time he began research on processes of non-point source pollution. His research interests are on the impact of soil processes and soil management on water quality, the development of methods to reduce the impact of phosphorus and dissolved organic carbon in runoff from catchments, the origin and properties of soils with subsurface physical and chemical constraints and the development of techniques to separate and analyse the finest particles and colloids in soils and water. He also has a long-standing interest in natural resource science and management and is a member of the Environment Institute's Landscape Futures Program where he is working on setting up observatories to monitor ecosystem and hydropedological processes.

Professor Graeme Dandy

School of Civil, Environmental and Mining Engineering, ³ÉÈË´óƬ

Professor Dandy completed his PhD in environmental engineering at the Massachusetts Institute of Technology (USA) in 1976. He has been a Professor of Civil and Environmental Engineering at the ³ÉÈË´óƬ since 2000. He is a Fellow of the Australian Academy of Technological Sciences and Engineering and a Fellow of Engineers Australia. His research interests include the application of evolutionary optimisation techniques to the design and operations of water distribution systems; monitoring, modelling and optimising water quality in water distribution systems; the use of artificial neural networks techniques for forecasting hydrologic and environmental variables; and integrated urban water management.

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