Keith John BevenFRS (born 23 July 1950)[3] is a British hydrologist and distinguished emeritus professor in hydrology at Lancaster University. According to Lancaster University he is the most highly cited hydrologist.[4]
In 2017, Beven was elected a member of the National Academy of Engineering for contributions to the understanding of hydrological processes and development of the foundations of modern hydrological modeling.
His main research interests are in hydrological modelling and understanding the prediction uncertainties associated with environmental models.[6] He was the originator with Mike Kirkby of the TOPMODEL Concepts and the originator of the Generalised Likelihood Uncertainty Estimation (GLUE) methodology.[citation needed] GLUE has been applied to a wide variety of fields including rainfall-runoff modelling, flood inundation, water quality modelling, sediment transport, recharge and groundwater modelling, vegetation growth models, aphid populations, forest fire and tree death modelling.[citation needed] He is working on novel modelling of flow and transport on hillslopes and in catchments, modelling the impacts of climate and land management on flood runoff and flood frequency, nonparametric estimation of the rainfall-flow nonlinearity, and flood forecasting. He has published 10 books and over 350 peer reviewed papers.[7][8]
Awards and honours
Beven has received several awards and honours including:
K.J. Beven. 2011. Mallerstang Magic: Images of the Mallerstang Valley. Blurb Books, 36pp small format or large format
K.J. Beven. 2012. Mallerstang in Panorama: Panoramic Images of the Mallerstang Valley. Blurb Books, 42pp small format or large format[permanent dead link]
K.J. Beven. 2012. Mallerstang in Mono: Black and White Images of the Mallerstang Valley. Blurb Books. 50pp small format or large format
K.J. Beven. 2012. Rainfall-Runoff Modelling: The Primer (2nd Edition). Wiley-Blackwell: Chichester, UK. ISBN978-0-470-71459-1
K.J. Beven and J.W. Hall (Eds.). 2014. Applied Uncertainty Analysis for Flood Risk Management. World Scientific: Singapore.ISBN978-1-84816-270-9