Calibration and Reliability in Groundwater Modelling PDF Download

Author: Marc F. P. Bierkens
Publisher:
ISBN: 9781901502589
Category : Science
Languages : en
Pages : 334

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Book Description
Several of the papers here deal with decision making under uncertainty.

Author: Karel Kovar
Publisher: IAHS Press
ISBN: 9780947571948
Category : Groundwater
Languages : en
Pages : 622

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Author: Karel Kovar
Publisher:
ISBN: 9781901502077
Category : Groundwater
Languages : en
Pages : 566

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Book Description

Author: Fritz Stauffer
Publisher:
ISBN: 9781901502367
Category : Groundwater
Languages : en
Pages : 540

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Author: Jens Christian Refsgaard
Publisher:
ISBN:
Category : Groundwater
Languages : en
Pages : 372

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Book Description

Author: Yanxin Wang
Publisher:
ISBN: 9781907161155
Category : Groundwater
Languages : en
Pages : 0

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Book Description
The usefulness of the predictive simulations obtained with groundwater models is often hampered by the inability to indicate and preferably quantify the reliability of the model results. Uncertainty in model predictions stems primarily from a number of errors relating to the model formulation such as: inadequate concept of processes and interactions; inadequate description of processes and interactions; inadequate sense of spatial and temporal variability; inadequate description of the state of the system; incorrect coefficient values and improper specification of the error bounds. In recent years much research has been carried out resulting in a variety of approaches that can be followed to incorporate the information about these errors into modelling process. Various techniques have been developed to assess the confidence levels of model predictions so that users can account for uncertainties in the decision-making process. This publication contains 52 papers the ModelCARE 90 conference held in The Hague, September 1990.

Author: Mary C. Hill
Publisher: John Wiley & Sons
ISBN: 0470041072
Category : Technology & Engineering
Languages : en
Pages : 475

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Book Description
Methods and guidelines for developing and using mathematical models Turn to Effective Groundwater Model Calibration for a set of methods and guidelines that can help produce more accurate and transparent mathematical models. The models can represent groundwater flow and transport and other natural and engineered systems. Use this book and its extensive exercises to learn methods to fully exploit the data on hand, maximize the model's potential, and troubleshoot any problems that arise. Use the methods to perform: Sensitivity analysis to evaluate the information content of data Data assessment to identify (a) existing measurements that dominate model development and predictions and (b) potential measurements likely to improve the reliability of predictions Calibration to develop models that are consistent with the data in an optimal manner Uncertainty evaluation to quantify and communicate errors in simulated results that are often used to make important societal decisions Most of the methods are based on linear and nonlinear regression theory. Fourteen guidelines show the reader how to use the methods advantageously in practical situations. Exercises focus on a groundwater flow system and management problem, enabling readers to apply all the methods presented in the text. The exercises can be completed using the material provided in the book, or as hands-on computer exercises using instructions and files available on the text's accompanying Web site. Throughout the book, the authors stress the need for valid statistical concepts and easily understood presentation methods required to achieve well-tested, transparent models. Most of the examples and all of the exercises focus on simulating groundwater systems; other examples come from surface-water hydrology and geophysics. The methods and guidelines in the text are broadly applicable and can be used by students, researchers, and engineers to simulate many kinds systems.

Author:
Publisher:
ISBN: 9787562524175
Category : Groundwater
Languages : en
Pages : 586

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Author:
Publisher:
ISBN:
Category : Hydrology
Languages : en
Pages : 898

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Book Description

Author: Ne-Zheng Sun
Publisher: Springer
ISBN: 1493923234
Category : Mathematics
Languages : en
Pages : 621

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Book Description
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.