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.
This book addresses water management issues in the State of New Mexico. It focuses on our current understanding of the natural world, capabilities in numerical modeling, existing and evolving regulatory frameworks, and specific issues such as water quality, endangered species and the evolution of new water management institutions. Similar to its neighboring states, New Mexico regularly experiences cycles of drought. It is also experiencing rapid economic growth while at the same time is experiencing a fundamental climate shift. These factors place severe demands on its scarce water resources. In addition to historical uses by the native inhabitants of the region and the agricultural sector, new competitive uses have emerged which will require reallocation. This effort is complicated by unadjudicated water rights, the need to balance the ever-increasing needs of growing urban and rural populations, and the requirements of the ecosystem and traditional users. It is clear that New Mexico, as with other semi-arid states and regions, must find efficient ways to reallocate water among various beneficial uses. This book discusses how a proper coordination of scientific understanding, modeling advancements, and new and emerging institutional structures can help in achieving improved strategies for water policy and management. To do so, it calls upon the expertise of academics from multiple disciplines, as well as officials from federal and state agencies, to describe in understandable terms the issues currently being faced and how they can be addressed via an iterative strategy of adaptive management.
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.
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