1# Library to Find Best eBook for Read
Author : Mary Catherine Hill
Release : 1998
Genre : Computer simulation
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Methods and Guidelines for Effective Model Calibration by : Mary Catherine Hill
Download or read book Methods and Guidelines for Effective Model Calibration written by Mary Catherine Hill. This book was released on 1998. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Mary C. Hill
Release : 2006-08-25
Genre : Technology & Engineering
Kind : eBook
Book Rating : 072/5 ( reviews)
Book Synopsis Effective Groundwater Model Calibration by : Mary C. Hill
Download or read book Effective Groundwater Model Calibration written by Mary C. Hill. This book was released on 2006-08-25. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Mary Catherine Hill
Release : 1998
Genre : Groundwater flow
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Methods and Guidelines for Effective Model Calibration by : Mary Catherine Hill
Download or read book Methods and Guidelines for Effective Model Calibration written by Mary Catherine Hill. This book was released on 1998. Available in PDF, EPUB and Kindle. Book excerpt:
Author : M. Thangarajan
Release : 2007-06-10
Genre : Science
Kind : eBook
Book Rating : 296/5 ( reviews)
Book Synopsis Groundwater by : M. Thangarajan
Download or read book Groundwater written by M. Thangarajan. This book was released on 2007-06-10. Available in PDF, EPUB and Kindle. Book excerpt: This book provides comprehensive coverage on the assessment and management of groundwater. It contains the work of international experts in the field of groundwater resource evaluation, characterization, augmentation, restoration, modeling and management.
Author : Ne-Zheng Sun
Release : 2015-07-01
Genre : Mathematics
Kind : eBook
Book Rating : 234/5 ( reviews)
Book Synopsis Model Calibration and Parameter Estimation by : Ne-Zheng Sun
Download or read book Model Calibration and Parameter Estimation written by Ne-Zheng Sun. This book was released on 2015-07-01. Available in PDF, EPUB and Kindle. Book excerpt: 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.
