
eBook - ePub
Water Engineering Modeling and Mathematic Tools
- 590 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Water Engineering Modeling and Mathematic Tools
About this book
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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Yes, you can access Water Engineering Modeling and Mathematic Tools by Pijush Samui, Hossein Bonakdari, Ravinesh Deo, Pijush Samui,Hossein Bonakdari,Ravinesh Deo in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Engineering General. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Title of Book
- Cover image
- Title page
- Table of Contents
- Copyright
- Dedication
- List of Contributors
- About the editors
- 1 Numerical insight into the sonolytic ozonation applied for water treatment
- 2 Modified nanofiltration membrane treatment of saline water
- 3 New formulation for predicting soil moisture content using only soil temperature as predictor: multivariate adaptive regression splines versus random forest, multilayer perceptron neural network, M5Tree, and multiple linear regression
- 4 Numerical simulation of acoustic cavitation and its chemical effect in seawater: toward understanding the multiple role of salinity in the sonochemical degradation of organic pollutants
- 5 Computer simulation of N2O/argon gas mixture effect on the acoustic generation of hydroxyl radicals in water: toward understanding the mechanism of N2O inhibited/improved-sonochemical processes
- 6 Recent remediation technologies for contaminated water
- 7 Water chemistry in the biological studies by using nuclear analytical techniques
- 8 Protection from harmful effects of waterâexamples from Serbia
- 9 Gravity-driven membrane filtration for decentralized water and wastewater treatment
- 10 Modeling hydraulics and water quality in distribution networks: a review of existing mathematical techniques and software
- 11 Remediation of oil-contaminated water for reuse using polymeric nanocomposites
- 12 Hydrological contaminant transport
- 13 Desalination technologies and potential mathematical modeling for sustainable waterâenergy nexus
- 14 Emerging trends of water quality monitoring and applications of multivariate tools
- 15 Experimental study on bed deformations due to flows over macroroughness conditions
- 16 An introduction to hydraulic structures
- 17 Mixing of inclined dense jets: a numerical modeling
- 18 Real-time flood forecasting with weather radar and distributed hydrological model
- 19 Flood susceptibility mapping in ungauged watersheds using a statistical model
- 20 Groundwater potential mapping using hybridization of simulated annealing and random forest
- 21 Synergy of combining megahertz ultrasound frequency and heat-activated persulfate for wastewater decontamination: micromodeling of acoustic cavitation and its role in the sono-hybrid process
- 22 On the sonochemical production of nitrite and nitrate in water: A computational study
- 23 Numerical insight into the liquid compressibility effect on the sonochemical activity of acoustic bubbles
- 24 Extremely randomized tree: a new machines learning method for predicting coagulant dosage in drinking water treatment plant
- 25 Pareto design of multiobjective evolutionary neuro-fuzzy system for predicting scour depth around bridge piers
- 26 River flow forecasting using stochastic and neuro-fuzzy-embedded technique: a comprehensive preprocessing-based assessment
- Index