Environmental And Hydrological Systems Modelling
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Environmental and Hydrological Systems Modelling
Mathematical modelling has become an indispensable tool for engineers, scientists, planners, decision makers and many other professionals to make predictions of future scenarios as well as real impending events. As the modelling approach and the model to be used are problem specific, no single model or approach can be used to solve all problems, and there are constraints in each situation. Modellers therefore need to have a choice when confronted with constraints such as lack of sufficient data, resources, expertise and time. Environmental and Hydrological Systems Modelling provides the tools needed by presenting different approaches to modelling the water environment over a range of spatial and temporal scales. Their applications are shown with a series of case studies, taken mainly from the Asia-Pacific Region. Coverage includes: Population dynamics Reaction kinetics Water quality systems Longitudinal dispersion Time series analysis and forecasting Artificial neural networks Fractals and chaos Dynamical systems Support vector machines Fuzzy logic systems Genetic algorithms and genetic programming This book will be of great value to advanced students, professionals, academics and researchers working in the water environment.
Hydrological Systems Analysis
Author: G.B. Engelen
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
This book provides a state-of-the-art overview of the development of concepts and methodology of hydrological sys tems analysis and its wide range of practical applications. Hydrological systems analysis involves the management, processing and interpretation of huge amounts of geoscien tific as well as ecological and historical data of many different types and sources, which can only be handled coherently and efficiently by using interactive geoscientific information systems. Geoscientific information systems as well as flow simulators are integral parts of the methodology. The methodology is clearly explained in the book and ample figures il lustrate the text. The emphasis of the book is on the practical applicability of hydrological systems analysis in integrated water re source management, nature conservation and environmental planning. The compilation of many case-studies, conducted by TNO geohydrologists and others in recent years, included in the book deals with different temporal and spatial scales and various geohydrological settings in The Netherlands, Poland, the European Union as well as in Indonesia. These case studies underpin the strength and elegance of hydrological systems analysis.
Model Calibration and Parameter Estimation
This three-part book provides a comprehensive and systematic introduction to these challenging topics such as model calibration, parameter estimation, reliability assessment, and data collection design. Part 1 covers the classical inverse problem for parameter estimation in both deterministic and statistical frameworks, Part 2 is dedicated to system identification, hyperparameter estimation, and model dimension reduction, and Part 3 considers how to collect data and construct reliable models for prediction and decision-making. For the first time, topics such as multiscale inversion, stochastic field parameterization, level set method, machine learning, global sensitivity analysis, data assimilation, model uncertainty quantification, robust design, and goal-oriented modeling, are systematically described and summarized in a single book from the perspective of model inversion, and elucidated with numerical examples from environmental and water resources modeling. Readers of this book will not only learn basic concepts and methods for simple parameter estimation, but also get familiar with advanced methods for modeling complex systems. Algorithms for mathematical tools used in this book, such as numerical optimization, automatic differentiation, adaptive parameterization, hierarchical Bayesian, metamodeling, Markov chain Monte Carlo, are covered in details. This book can be used as a reference for graduate and upper level undergraduate students majoring in environmental engineering, hydrology, and geosciences. It also serves as an essential reference book for professionals such as petroleum engineers, mining engineers, chemists, mechanical engineers, biologists, biology and medical engineering, applied mathematicians, and others who perform mathematical modeling.