Preface. 1. Down to Basics: Runoff Processes and the Modelling Process. 2. Evolution of Rainfall--Runoff Models: Survival of the Fittest? 3. Data for Rainfall--Runoff Modelling. 4. Predicting Hydrographs Using Models Based on Data. 5. Predicting Hydrographs Using Distributed Models Based on Process Descriptions. 6. Hydrological Similarity and Distribution Function Rainfall--Runoff Models. 7. Parameter Estimation and Predictive Uncertainty. 8. Predicting Floods. 9. Predicting the Effects of Change. 10. Revisiting the Problem of Model Choice. Appendix A: Demonstration Software. Appendix B: Glossary of Terms. References. Index.
Keith Beven wrote his first hydrological model as an undergraduate in 1970, trying to predict the runoff generation on Exmoor during the Lynmouth flood. Since then, he has been involved with many of the major rainfall--runoff modelling innovations, including TOPMODEL, the Systeme Hydrologique Europeen (SHE) model, the Institute of Hydrology Distributed Model (IHDM), and Data--based mechanistic modelling (DBM). In 1991 he was awarded the American Geophysical Union Horton Award for fundamental contributions to the understanding and prediction of runoff production, particularly the role of topography and soil structure, in natural catchments. He has been Professor of Hydrology and Fluid Dynamics at Lancaster University since 1992.
"...very stimulating...readable for the non--modellerand has an effective pedagogic style...an excellent contribution..." (Land Degradation & Development, Vol 14 (1--2), 2004) "This very stimulating volume sets out the, often complex, issues very clearly!" (Land Degradation and Development, Vol 15 No.4 July/ Aug 2004)