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

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  • Author : Pijush Samui
  • Publisher : Elsevier
  • Pages : 590 pages
  • ISBN : 0128208775
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKWater Engineering Modeling and Mathematic Tools

Water Engineering Modeling and Mathematic Tools

Water Engineering Modeling and Mathematic Tools
  • Author : Pijush Samui,Hossein Bonakdari,Ravinesh C. Deo
  • Publisher : Elsevier
  • Release : 05 February 2021
GET THIS BOOKWater 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

Engineering Mathematics with Examples and Applications

Engineering Mathematics with Examples and Applications
  • Author : Xin-She Yang
  • Publisher : Academic Press
  • Release : 29 December 2016
GET THIS BOOKEngineering Mathematics with Examples and Applications

Engineering Mathematics with Examples and Applications provides a compact and concise primer in the field, starting with the foundations, and then gradually developing to the advanced level of mathematics that is necessary for all engineering disciplines. Therefore, this book's aim is to help undergraduates rapidly develop the fundamental knowledge of engineering mathematics. The book can also be used by graduates to review and refresh their mathematical skills. Step-by-step worked examples will help the students gain more insights and build sufficient

Applied Mathematical Modelling of Engineering Problems

Applied Mathematical Modelling of Engineering Problems
  • Author : N.V. Hritonenko,Yuri P. Yatsenko
  • Publisher : Springer Science & Business Media
  • Release : 17 April 2013
GET THIS BOOKApplied Mathematical Modelling of Engineering Problems

The subject of the book is the "know-how" of applied mathematical modelling: how to construct specific models and adjust them to a new engineering environment or more precise realistic assumptions; how to analyze models for the purpose of investigating real life phenomena; and how the models can extend our knowledge about a specific engineering process. Two major sources of the book are the stock of classic models and the authors' wide experience in the field. The book provides a theoretical

Applications of STEM (Science, Technology, Engineering and Mathematics) Tools in Microbiology of Infectious Diseases

Applications of STEM (Science, Technology, Engineering and Mathematics) Tools in Microbiology of Infectious Diseases
  • Author : Julio Alvarez,Andres Perez
  • Publisher : Frontiers Media SA
  • Release : 02 June 2017
GET THIS BOOKApplications of STEM (Science, Technology, Engineering and Mathematics) Tools in Microbiology of Infectious Diseases

Epidemiology is a discipline intended to systematically investigate, and ideally quantify, disease dynamics in populations (Perez, 2015). Epidemiological assessmentsmay be divided into four large areas, namely, (a) identification and characterization of a pathogen, (b) development of systems for detection of cases, (c) descriptive epidemiology and quantification of disease patterns, and (d) advanced analytical methods to design intervention strategies. Briefly, there is an initial need for understanding the pathogeny of a disease and condition, which may also include experimental studies and development

Modeling Engineering Systems

Modeling Engineering Systems
  • Author : Jack W. Lewis
  • Publisher : Llh Technology Pub
  • Release : 09 August 1994
GET THIS BOOKModeling Engineering Systems

Modeling Engineering Systems goes right to the heart of engineering, teaching you how to: understand and use the three basic types of engineering building blocks recognize the analogies that can be drawn between the fundamental elements of electrical, mechanical, fluid, and thermal systems develop math models for first- and higher-order systems using four fundamental methods analyze the models you develop perform frequency analysis and plot frequency responses Educated at the U.S. Coast Guard Academy and MIT, Jack W. Lewis

Mathematical Modelling in Science and Technology

Mathematical Modelling in Science and Technology
  • Author : Xavier J.R. Avula,Rudolf E. Kalman,Anthanasios I. Liapis
  • Publisher : Elsevier
  • Release : 09 May 2014
GET THIS BOOKMathematical Modelling in Science and Technology

Mathematical Modelling in Science and Technology: The Fourth International Conference covers the proceedings of the Fourth International Conference by the same title, held at the Swiss Federal Institute of Technology, Zurich, Switzerland on August 15-17, 1983. Mathematical modeling is a powerful tool to solve many complex problems presented by scientific and technological developments. This book is organized into 20 parts encompassing 180 chapters. The first parts present the basic principles, methodology, systems theory, parameter estimation, system identification, and optimization of mathematical modeling. The

Advancing Robust Multi-Objective Optimisation Applied to Complex Model-Based Water-Related Problems

Advancing Robust Multi-Objective Optimisation Applied to Complex Model-Based Water-Related Problems
  • Author : Oscar Osvaldo Marquez Calvo
  • Publisher : CRC Press
  • Release : 07 February 2020
GET THIS BOOKAdvancing Robust Multi-Objective Optimisation Applied to Complex Model-Based Water-Related Problems

The exercise of solving engineering problems that require optimisation procedures can be seriously affected by uncertain variables, resulting in potential underperforming solutions. Although this is a well-known problem, important knowledge gaps are still to be addressed. For example, concepts of robustness largely differ from study to study, robust solutions are generally provided with limited information about their uncertainty, and robust optimisation is difficult to apply as it is a computationally demanding task. The proposed research aims to address the mentioned

Mathematical Modeling and Simulation

Mathematical Modeling and Simulation
  • Author : Kai Velten
  • Publisher : John Wiley & Sons
  • Release : 01 June 2009
GET THIS BOOKMathematical Modeling and Simulation

This concise and clear introduction to the topic requires only basic knowledge of calculus and linear algebra - all other concepts and ideas are developed in the course of the book. Lucidly written so as to appeal to undergraduates and practitioners alike, it enables readers to set up simple mathematical models on their own and to interpret their results and those of others critically. To achieve this, many examples have been chosen from various fields, such as biology, ecology, economics,

Model Calibration and Parameter Estimation

Model Calibration and Parameter Estimation
  • Author : Ne-Zheng Sun,Alexander Sun
  • Publisher : Springer
  • Release : 01 July 2015
GET THIS BOOKModel 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

Environmental Engineer's Mathematics Handbook

Environmental Engineer's Mathematics Handbook
  • Author : Frank R. Spellman,Nancy E. Whiting
  • Publisher : CRC Press
  • Release : 23 November 2004
GET THIS BOOKEnvironmental Engineer's Mathematics Handbook

Advanced mathematics used in engineering is studied here in this text which examines the relationship between the principles in natural processes and those employed in engineered processes. The text covers principles, practices and the mathematics involved in the design and operation of environmental engineering works. It also presents engineering

Engineering Design

Engineering Design
  • Author : Clive L. Dym,Patrick Little
  • Publisher : John Wiley & Sons Incorporated
  • Release : 09 August 2022
GET THIS BOOKEngineering Design

Written for introductory courses in engineering design, this text illustrates conceptual design methods and project management tools through descriptions, examples, and case studies.

Applied Mathematical Modelling of Engineering Problems

Applied Mathematical Modelling of Engineering Problems
  • Author : Natali Hritonenko,Yuri Yatsenko
  • Publisher : Springer Science & Business Media
  • Release : 30 June 2003
GET THIS BOOKApplied Mathematical Modelling of Engineering Problems

The subject of the book is the "know-how" of applied mathematical modelling: how to construct specific models and adjust them to a new engineering environment or more precise realistic assumptions; how to analyze models for the purpose of investigating real life phenomena; and how the models can extend our knowledge about a specific engineering process. Two major sources of the book are the stock of classic models and the authors' wide experience in the field. The book provides a theoretical

Technological Concepts and Mathematical Models in the Evolution of Modern Engineering Systems

Technological Concepts and Mathematical Models in the Evolution of Modern Engineering Systems
  • Author : Mario Lucertini,Ana Millàn Gasca,Fernando Nicolò
  • Publisher : Birkhäuser
  • Release : 06 December 2012
GET THIS BOOKTechnological Concepts and Mathematical Models in the Evolution of Modern Engineering Systems

This collection of historical research studies covers the evolution of technology as knowledge, the emergence of an autonomous engineering science in the Industrial Age, the idea of scientific managment of production and operation systems, and the interaction between mathematical models and technological concepts. The book is published with the support of the UNESCO Venice Office - Regional Office for Science & Technology in Europe as an activity of the Project: The evolution of events, concepts and models in engineering systems.

Principles of Mathematical Modeling

Principles of Mathematical Modeling
  • Author : Clive Dym
  • Publisher : Elsevier
  • Release : 10 August 2004
GET THIS BOOKPrinciples of Mathematical Modeling

Science and engineering students depend heavily on concepts of mathematical modeling. In an age where almost everything is done on a computer, author Clive Dym believes that students need to understand and "own" the underlying mathematics that computers are doing on their behalf. His goal for Principles of Mathematical Modeling, Second Edition, is to engage the student reader in developing a foundational understanding of the subject that will serve them well into their careers. The first half of the book