Water Engineering Modeling And Mathematic Tools

Water Engineering Modeling and Mathematic Tools provides an informative resource for practitioners who want to learn more about different techniques and models in water engineering and their practical applications and case studies. The book provides modelling theories in an easy-to-read format verified with on-site models for specific regions and scenarios. Users will find this to be a significant contribution to the development of mathematical tools, experimental techniques, and data-driven models that support modern-day water engineering applications. Civil engineers, industrialists, and water management experts should be familiar with advanced techniques that can be used to improve existing systems in water engineering. This book provides key ideas on recently developed machine learning methods and AI modelling. It will serve as a common platform for practitioners who need to become familiar with the latest developments of computational techniques in water engineering. Includes firsthand experience about artificial intelligence models, utilizing case studies Describes biological, physical and chemical techniques for the treatment of surface water, groundwater, sea water and rain/snow Presents the application of new instruments in water engineering

Modeling Tools for Environmental Engineers and Scientists enables environmental professionals, faculty, and students with minimal computer programming skills to develop computer-based mathematical models for natural and engineered environmental systems. The author illustrates how commercially available syntax-free authoring software can be adapted to create customized, high-level models of environmental phenomena in groundwater, soil, aquatic, and atmospheric systems, and in engineered reactors. This book includes a review of mathematical modeling and fundamental concepts such as material balance, reactor configurations, and fate and transport of environmental contaminants. It illustrates, using numerous examples, how mathematical and dynamic modeling software can be applied in analyzing and simulating natural and engineered environmental systems. The tools and examples included are applicable to a wide range of problems, both in the classroom and in the field.

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.

"This advanced undergradute and graduate textbook covers the formulations and applications of mathematical models that simulate water flow and chemical transport in rivers, lakes, groundwater, estuaries, coastal and ocean waters. It provides many examples and exercises that are derived from actual case studies"--

Modeling Tools for Environmental Engineers and Scientists enables environmental professionals, faculty, and students with minimal computer programming skills to develop computer-based mathematical models for natural and engineered environmental systems. The author illustrates how commercially available syntax-free authoring software can be adapted to create customized, high-level models of environmental phenomena in groundwater, soil, aquatic, and atmospheric systems, and in engineered reactors. This book includes a review of mathematical modeling and fundamental concepts such as material balance, reactor configurations, and fate and transport of environmental contaminants. It illustrates, using numerous examples, how mathematical and dynamic modeling software can be applied in analyzing and simulating natural and engineered environmental systems. The tools and examples included are applicable to a wide range of problems, both in the classroom and in the field.

An Introduction to Water Quality Modelling Second Edition Edited by A. James Department of Civil Engineering, University of Newcastle upon Tyne, UK This book presents a simple introduction (for those not familiar with modelling, computing or numerical methods) to the use of modelling techniques and their applications in the management of water quality. Eight years have passed since the first edition of the book was published and there has been a tremendous increase in the use of mathematical models in environmental engineering, especially the control of pollution in rivers and estuaries. Modelling has also addressed a much wider range of pollutants and there has been an increase in the range of conceptual approaches to the formulation of models. The text of this second edition has therefore been modified to reflect these changes. The chapters dealing with techniques have been expanded to cover a greater range of kinetics and introduce a background of understanding for statistical techniques and time series analysis. Similarly, the chapters dealing with the application of models to rivers, estuaries, lakes, groundwater and the marine environment have been expanded and updated. The overall aims of the book, however, remain the same, making it an ideal introductory text for people wishing to learn about water quality modelling.

This book offers lucid treatment of fundamental concepts related to potential applications and prospects of different membranes for wastewater decontamination by removing heavy metals. Divided into four sections, it provides an overview of different sources of water contamination, their impacts on human health and the environment, and compares traditional methods used to nullify these impacts. Further, it covers different mature membrane technologies such as polymeric membranes, poly-ceramic membranes, carbon-based membranes and many more, followed by pertinent case studies. Features: Focuses on the removal of heavy metals using membrane-based technologies Discusses pertinent criteria to select suitable membranes Includes feasibility studies and applications of different mature and emerging membranes Describes heavy metals' occurrence and transport in an aqueous system with an overview of the adverse effects Reviews challenges and opportunities associated with using different membranes This book is aimed at graduate students and researchers in materials science, water engineering and wastewater treatment.

Water Management Models: A Guide to Software is designed to make the inventory of modeling tools more accessible to water management professionals. The purpose of the book is to assist water managers, planners, engineers, and scientists in sorting through the maze of models to understand which ones might be most useful for their particular modeling needs. Information is provided to facilitate identification, selection, and acquisition of software packages for a broad spectrum of water resources planning and management applications.