Rainfall-Runoff Modelling in Gauged and Ungauged Catchments
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This important monograph is based on the results of a study on the identification of conceptual lumped rainfall-runoff models for gauged and Ungauged catchments. The task of identification remains difficult despite decades of research. A problem analysis and an extensive review form the basis for the development of a modelling toolkit consisting of two components: a Rainfall-Runoff Modelling Toolbox (RRMT) and a Monte Carlo Analysis Toolbox (MCAT). These are subsequently applied to study the tasks of model identification and evaluation. A novel dynamic identifiability approach has been develop...
This important monograph is based on the results of a study on the identification of conceptual lumped rainfall-runoff models for gauged and Ungauged catchments. The task of identification remains difficult despite decades of research. A problem analysis and an extensive review form the basis for the development of a modelling toolkit consisting of two components: a Rainfall-Runoff Modelling Toolbox (RRMT) and a Monte Carlo Analysis Toolbox (MCAT). These are subsequently applied to study the tasks of model identification and evaluation. A novel dynamic identifiability approach has been developed for the gauged case. The theory underlying the application of rainfall-runoff models for predictions in ungauged basins is studied, problems are highlighted and promising ways forward are suggested. Modelling frameworks for both gauged and ungauged cases are developed. This book presents the first extensive treatment of rainfall-runoff model identification in gauged and ungauged catchments.
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