Wouter Buytaert is a senior lecturer in water resources and environmental change in the Department of Civil and Environmental Engineering. He is an expert on the impact of environmental change on the water cycle and its consequences for water supply and flood and drought risk. His work ranges from hydrological process understanding, to computer simulation, decision-support, the science policy interface, and sustainable development. He is working extensively in tropical and subtropical areas, with a particular interest in the Andes and the Himalayas. His work is funded by a large variety of sources, including but not limited to the UK Research Councils, UK DFID, the European Commission, the European Institute of Technology, UNESCO, Interamerican Development Bank, World Bank, the Belgian Development Cooperation, companies and private donors.
Wouter is also a fellow of the Grantham Institute for Climate Change, UK and a member of the NERC peer review college. He is Editor of the EGU journal Hydrology and Earth System Sciences, and Associate Editor of Computers & Geosciences and Frontiers in Earth Science. He receives frequent invitations to speak in international conferences and meetings, both in an academic and a policy context.
Wouter graduated with an Meng/MSc in Environmental Engineering from the University of Leuven, Belgium in 2000 and obtained a PhD from the same university in 2004. He joined Imperial College as a Research Fellow in 2009 after similar positions at Lancaster University and the University of Bristol. He became a lecturer in 2011 and senior lecturer in 2014.
More information on research projects can be found on the group website
et al., A conceptual framework for assessing socio-hydrological resilience under change, Hydrology and Earth System Sciences Discussions, Pages:1-26
et al., 2017, The role of rating curve uncertainty in real-time flood forecasting, Water Resources Research, ISSN:0043-1397
et al., 2017, User-driven design of decision support systems for polycentric environmental resources management, Environmental Modelling & Software, Vol:88, ISSN:1364-8152, Pages:58-73
et al., 2016, Accounting for dependencies in regionalized signatures for predictions in ungauged catchments, Hydrology and Earth System Sciences, Vol:20, ISSN:1027-5606, Pages:887-901