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 model identification remains difficult despite decades of research. A detailed problem analysis and an extensive review form the basis for the development of a Matlab® 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 catchment case. The theory underlying the application of rainfall-runoff models for predictions in ungauged catchments is studied, problems are highlighted and promising ways to move forward are investigated. 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.
The safety assessment of a deep repository for nuclear waste poses challenging scientific and technical questions. The risks from leakage of radionuclides from the repository, including transfers to the biosphere and the food chain must be assessed. This involves complex and poorly understood interactions between groundwater, soils, plants and the atmosphere. A unique, multidisciplinary experimental and modeling program at Imperial College London has been funded by UK NIREX to develop the science and to produce modeling tools to interpret and generalize the experimental data for safety assessment. This monograph brings together for the first time the accumulated results and experience from almost two decades of research. The results have important implications for the safety assessment of nuclear waste worldwide and provide new insights into the geochemical and biological controls on the upwards migration of radiochemicals in the near-surface environment./a
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 model identification remains difficult despite decades of research. A detailed problem analysis and an extensive review form the basis for the development of a Matlab® 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 catchment case. The theory underlying the application of rainfall-runoff models for predictions in ungauged catchments is studied, problems are highlighted and promising ways to move forward are investigated. 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.
The safety assessment of a deep repository for nuclear waste poses challenging scientific and technical questions. The risks from leakage of radionuclides from the repository, including transfers to the biosphere and the food chain must be assessed. This involves complex and poorly understood interactions between groundwater, soils, plants and the atmosphere. A unique, multidisciplinary experimental and modeling program at Imperial College London has been funded by UK NIREX to develop the science and to produce modeling tools to interpret and generalize the experimental data for safety assessment. This monograph brings together for the first time the accumulated results and experience from almost two decades of research. The results have important implications for the safety assessment of nuclear waste worldwide and provide new insights into the geochemical and biological controls on the upwards migration of radiochemicals in the near-surface environment./a
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