Stochastic Hydrology and its Use in Water Resources Systems Simulation and Optimization

Häftad, Engelska, 2012

AvJ.B. Marco,R. Harboe,J.D. Salas,J. B. Marco,J. D. Salas

689 kr

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Stochastic hydrology is an essential base of water resources systems analysis, due to the inherent randomness of the input, and consequently of the results. These results have to be incorporated in a decision-making process regarding the planning and management of water systems. It is through this application that stochastic hydrology finds its true meaning, otherwise it becomes merely an academic exercise.A set of well known specialists from both stochastic hydrology and water resources systems present a synthesis of the actual knowledge currently used in real-world planning and management.The book is intended for both practitioners and researchers who are willing to apply advanced approaches for incorporating hydrological randomness and uncertainty into the simulation and optimization of water resources systems. (abstract)Stochastic hydrology is a basic tool for water resources systems analysis, due to inherent randomness of the hydrologic cycle. This book contains actual techniques in use for water resources planning and management, incorporating randomness into the decision making process. Optimization and simulation, the classical systems-analysis technologies, are revisited under up-to-date statistical hydrology findings backed by real world applications.

Produktinformation

Utgivningsdatum2012-11-09
Mått160 x 240 x 27 mm
Vikt785 g
FormatHäftad
SpråkEngelska
SerieNATO Science Series E:
Antal sidor483
FörlagSpringer
ISBN9789401047432

Tillhör följande kategorier

I Invited Papers on Stochastic Hydrology.- General Introduction to application of Stochastic Hydrology in Water Resources.- Philosophy of Model Building.- Models for Data Generation in Hydrology: Univariate Techniques.- Models for Data Generation in Hydrology: Multivariate Techniques.- Aggregation and Disaggregation Modelling.- ARMAX and Transfer Function Modelling in Hydrology.- Stochastic Models of Temporal Rainfall: Reproducibility, Estimation and Prediction of Extreme Events.- Practical Results in Simulation and Forecasting.- Use and Misuse of Stochastic Hydrology in Water Resources.- Panel Discussions: Some thoughts about the State of the Art in Stochastic Hydrology and Streamflow Forecasting.- Issues in the Modelling of Precipitation.- II Contributed Papers on Stochastic Hydrology.- Some Applications of Time Series Models to Climate Study (Southern Oscillation): Modelling, Forecasting and Predictability.- Conceptual Basis of Stochastic Models of Monthly Streamflows.- A Nonlinear, Nonstationary Stochastic Model for the Prediction of Storage in the Edward Aquifer, Texas.- Appropriate time resolution for stochastic drought analysis.- Parameter Estimation in Real-time Flood Forecasting via Conceptual Models.- Linear Stochastic Non-Stationary Rainfall-Runoff Modelling and Forecasting.- III Invited Papers on Water Resources Systems OPTIMIZATION and Simulation.- Explicit Stochastic Optimization.- Implicit Stochastic Optimization and Simulation.- Multiobjective Analysis in Water Resources Part I. Numerical versus Non-numerical Criteria and Discrete Versus Continuous Alternatives.- Multiobjective Analysis in Water Resources Part II. A New Typology of MCDM Techniques.- Combining Simulation and Optimization in River Basin Management.- Decision Support Systems in Water Resources.- Expert Systems in Water Resources Simulation and Optimization.- The Segura River Basin Model. Disaggregation in a Semiarid Environment.- Optimization and Simulation Models Applied to the Segura Water Resources System in Spain.- Iterative Dynamic Programming Techniques: a Case Study.- Use and Non-use of Water Management Models in Sweden: Experiences from Model Development Test.- IV Contributed Papers on Water Resources Systems Optimization and Simulation.- Practical Implementation of Water resource Systems Analysis in a Water Utility in the UK.- Expert Systems for Flood Hydrological Forecasting and Decision Support.

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