Abstract: Our climate, waters and environments are changing in a deeply uncertain manner due to the compounding effects from a range of natural and human drivers. Understanding and coping with these changes require ‘integrated models’ that account for the coupled dynamics of natural, engineered and social systems. This talk gives an overview of a Canadian experience for integrated modelling and management of water resources, and in that context, reflects on some prospects and limitations of recent approaches to sensitivity analysis and machine learning.

Dr. Saman Razavi is an assistant professor with Global Institute for Water Security, School of Environment and Sustainability, and Department of Civil and Geological Engineering at the University of Saskatchewan. He received his PhD degree (2013) in civil engineering from the University of Waterloo, Ontario, and his MSc (2004) and BSc (2002) degrees in civil engineering from Amirkabir University and Iran University of Science and Technology in Iran. His research interests include environmental and water resources systems analysis, hydrologic modelling, single and multiple-objective optimization, sensitivity and uncertainty analysis, and climate change and impacts on hydrology and water resources.

Lunch will be provided after the event, please register for catering and dietary purposes.