2022 - Research.com Earth Science in United Kingdom Leader Award
2017 - Member of the National Academy of Engineering For contributions to the understanding of hydrological processes and development of the foundations of modern hydrological modeling.
2017 - Fellow of the Royal Society, United Kingdom
1995 - Fellow of American Geophysical Union (AGU)
His primary scientific interests are in Hydrology, GLUE, Surface runoff, Equifinality and Hydrograph. In his study, which falls under the umbrella issue of Hydrology, Topographic Wetness Index and Spatial variability is strongly linked to Structural basin. His GLUE research is multidisciplinary, incorporating elements of Uncertainty analysis, Statistics, Range, Sample and Algorithm.
His research in Surface runoff intersects with topics in Storm, Soil science, Water table and Infiltration. His biological study spans a wide range of topics, including Statistical hypothesis testing, Management science, Calibration, Econometrics and Operations research. His research investigates the connection between Hydrograph and topics such as Flow that intersect with problems in Calibration.
Keith Beven mainly investigates Hydrology, Flood myth, GLUE, Surface runoff and Drainage basin. Keith Beven interconnects Soil science and Soil water in the investigation of issues within Hydrology. His research investigates the connection with GLUE and areas like Econometrics which intersect with concerns in Uncertainty analysis.
Many of his studies involve connections with topics such as Infiltration and Surface runoff. Drainage basin is often connected to Structural basin in his work. His Flood forecasting research includes elements of Probabilistic logic and Operations research.
His primary areas of investigation include Hydrology, Flood myth, Hydrology, Operations research and Drainage basin. His studies deal with areas such as Scale and Flow as well as Hydrology. His Flood myth research is multidisciplinary, relying on both Floodplain, Meteorology, Communication channel and Flooding.
His research in Hydrology focuses on subjects like Streamflow, which are connected to Climatology. His studies in Operations research integrate themes in fields like Calibration and validation, Uncertainty analysis, Flood forecasting and GLUE. His Drainage basin study combines topics from a wide range of disciplines, such as Piezometer and Water table.
His scientific interests lie mostly in Hydrology, Management science, Flood myth, GLUE and Hydrology. His Hydrology study deals with Flow intersecting with Water content. His Management science research is multidisciplinary, incorporating perspectives in Variation and Socio-hydrology.
His biological study spans a wide range of topics, including Uncertainty analysis, Floodplain, Environmental planning and Scale. His work carried out in the field of GLUE brings together such families of science as Operations research, Algorithm, Differential evolution and Equifinality. The study incorporates disciplines such as Drainage basin, Representation and Groundwater in addition to Hydrology.
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A physically based, variable contributing area model of basin hydrology / Un modèle à base physique de zone d'appel variable de l'hydrologie du bassin versant
K. J. Beven;M. J. Kirkby.
Hydrological Sciences Journal-journal Des Sciences Hydrologiques (1979)
A physically based, variable contributing area model of basin hydrology
MJ Kirkby;KJ Beven.
Hydrological Sciences Bulletin (1979)
The future of distributed models: model calibration and uncertainty prediction.
Keith J. Beven;Andrew M. Binley.
Hydrological Processes (1992)
Rainfall-Runoff Modelling: The Primer
Keith J. Beven.
Macropores and water flow in soils
Keith Beven;Peter Germann.
Water Resources Research (1982)
Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology
Keith Beven;Jim Freer.
Journal of Hydrology (2001)
Changing ideas in hydrology — The case of physically-based models
Journal of Hydrology (1989)
A manifesto for the equifinality thesis
Journal of Hydrology (2006)
THE PREDICTION OF HILLSLOPE FLOW PATHS FOR DISTRIBUTED HYDROLOGICAL MODELLING USING DIGITAL TERRAIN MODELS
P. Quinn;K. Beven;P. Chevallier;O. Planchon.
Hydrological Processes (1991)
Prophecy, reality and uncertainty in distributed hydrological modelling
Keith J. Beven.
Advances in Water Resources (1993)
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