Water Engineering Modeling and Mathematic Tools

1st Edition - February 5, 2021
Imprint: Elsevier
Editors: Pijush Samui, Hossein Bonakdari, Ravinesh Deo
Language: English
Paperback ISBN:
9 7 8 - 0 - 1 2 - 8 2 0 6 4 4 - 7
eBook ISBN:
9 7 8 - 0 - 1 2 - 8 2 0 8 7 7 - 9

Water Engineering Modeling and Mathematic Tools provides an informative resource for practitioners who want to learn more about different techniques and models in water engineeri… Read more

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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.

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
Abstract
Chapter Outline
1.1 Introduction
1.2 An overview of US/O3 process
1.3 Computational section
1.4 Plausible mechanisms
1.5 Conceptual diagram for US/O3 system
1.6 Conclusion
Acknowledgment
References
2. Modified nanofiltration membrane treatment of saline water
Abstract
Chapter Outline
2.1 Introduction
2.2 Desalination technologies
2.3 Nanotechnology
2.4 Study area
2.5 Modification in nanofiltration membranes
2.6 Final remarks
2.7 Disclosure statement
References
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
Abstract
Chapter Outline
3.1 Introduction
3.2 Materials and methods
3.3 Modeling approaches
3.4 Results and discussion
3.5 Conclusion
References
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
Abstract
Chapter Outline
4.1 Introduction
4.2 Model
4.3 Salinity effect on the acoustic wave attenuation
4.4 Salinity effect on the acoustic generation of free radicals: depth dependence
4.5 Salinity-effect dependence of the liquid temperature
4.6 Salinity-effect dependence of frequency of ultrasound
4.7 Salinity-effect dependence of acoustic intensity
4.8 Salinity-effect dependence of salinity degree
4.9 Conclusions
Acknowledgments
Nomenclature
References
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
Abstract
Chapter Outline
5.1 Introduction
5.2 Previous experimental works
5.3 Theoretical package
5.4 Thermodynamic parameters at varying N2O/argon gas proportion
5.5 Chemical bubble yield at varying N2O/argon gas composition
5.6 Sensitivity analysis
5.7 N2O/argon gas mixture effect-dependence of acoustic intensity
5.8 N2O/argon gas mixture effect-dependence of liquid temperature
5.9 N2O/argon gas mixture effect-dependence of frequency of ultrasound
5.10 N2O/argon gas mixture effect-dependence of initial bubble radii’s
5.11 Plausible mechanism for the overall effect of N2O
5.12 Conclusion
Acknowledgment
Nomenclature
References
6. Recent remediation technologies for contaminated water
Abstract
Chapter Outline
6.1 Introduction
6.2 Uptake and distribution of radioactive isotopes in dependence of time
6.3 Impact of the pH-value on uptake of radionuclides
6.4 Activation of aquatic plants by illumination to uptake radionuclides
6.5 Plant density and accumulation rate as a function of biomass quantity
6.6 Radionuclides compete for translocation
6.7 Radionuclides distribution in diverse plant regions by determination of transport indices and concentration ratios
6.8 Impact of phytoremediation in presence of essential and toxic metals
References
7. Water chemistry in the biological studies by using nuclear analytical techniques
Abstract
Chapter Outline
7.1 Introduction
7.2 Hydrological medium
7.3 Water cycle
7.4 Hydrological cycle paths in nature
7.5 World water distribution
7.6 Total and partial balance in the general water cycle
7.7 Isotopic hydrology
7.8 Origin and transmission of water in the water cycle
7.9 Sampling method
7.10 Conclusion
References
8. Protection from harmful effects of water—examples from Serbia
Abstract
Chapter Outline
8.1 Introduction
8.2 Institutional and legal framework
8.3 International cooperation
8.4 Protective and defense measures
8.5 Embankments
8.6 Reservoirs
8.7 Drainage
8.8 Protection against flash floods
8.9 Assessment of current state and possible solutions
8.10 Conclusion
References
9. Gravity-driven membrane filtration for decentralized water and wastewater treatment
Abstract
Chapter Outline
9.1 Introduction
9.2 Mechanism of gravity-driven membrane filtration
9.3 Factors influencing gravity-driven membrane performance
9.4 Conclusion and perspectives
References
10. Modeling hydraulics and water quality in distribution networks: a review of existing mathematical techniques and software
Abstract
Chapter Outline
10.1 Introduction
10.2 Methodology
10.3 Hydraulics in water distribution network
10.4 Water quality modeling for water distribution network
10.5 Software and tools for modeling water distribution network
10.6 Conclusion and recommendations
References
11. Remediation of oil-contaminated water for reuse using polymeric nanocomposites
Abstract
Chapter Outline
11.1 Introduction
11.2 Materials and methods
11.3 Results and discussion
11.4 Conclusion
Acknowledgments
References
12. Hydrological contaminant transport
Abstract
Chapter Outline
12.1 Introduction
12.2 Process controlling contaminant transport
12.3 Sources and pathway for water contamination
12.4 Groundwater contaminant transport modeling
12.5 Summary and conclusion
References
13. Desalination technologies and potential mathematical modeling for sustainable water–energy nexus
Abstract
Chapter Outline
List of abbreviations
13.1 Introduction
13.2 Desalination in the realm of water–energy–food nexus
13.3 An overview of technologies for desalination
13.4 Artificial intelligence and artificial neural networks
13.5 Global trends for application of artificial intelligence for desalination
13.6 Concluding remarks
References
14. Emerging trends of water quality monitoring and applications of multivariate tools
Abstract
Chapter Outline
14.1 Introduction
14.2 Emerging technologies for water quality monitoring
14.3 Emerging statistical/mathematical tools used for water quality monitoring
14.4 Artificial neural networks model
14.5 Support vector machine model
14.6 Decision trees model
14.7 Application of geographical information systems and RS in water quality monitoring
14.8 Concluding remarks
References
15. Experimental study on bed deformations due to flows over macroroughness conditions
Abstract
Chapter Outline
15.1 Introduction
15.2 Experimental installation and measurements
15.3 Results
15.4 Conclusion
Acknowledgments
References
16. An introduction to hydraulic structures
Abstract
Chapter Outline
16.1 Introduction
16.2 Governing equations
16.3 Hydraulic jump
16.4 Hydraulic of gates
16.5 Sharp-crested weirs
16.6 Weirs of finite crest length
16.7 Weirs of finite crest length with ramps
16.8 Labyrinth weirs
16.9 Baffle posts
16.10 Weir-gates
References
17. Mixing of inclined dense jets: a numerical modeling
Abstract
Chapter Outline
17.1 Introduction
17.2 Theoretical concepts
17.3 Numerical model
17.4 Numerical results and discussion
17.5 Conclusions
Acknowledgments
Nomenclature
References
18. Real-time flood forecasting with weather radar and distributed hydrological model
Abstract
Chapter Outline
18.1 Introduction
18.2 Modeling concepts in flood forecasting
18.3 Rainfall forecasting with weather radar observation
18.4 Flood forecasting with distributed hydrological model
18.5 Hydrological modeling with artificial neural network
References
19. Flood susceptibility mapping in ungauged watersheds using a statistical model
Abstract
Chapter Outline
19.1 Introduction
19.2 Theoretical background
19.3 Case study
19.4 Methodology
19.5 Flood conditioning factors
19.6 Application of boosted regression trees model
19.7 Results and discussion
19.8 Flood susceptibility mapping
19.9 Summary and conclusion
References
20. Groundwater potential mapping using hybridization of simulated annealing and random forest
Abstract
Chapter Outline
20.1 Introduction
20.2 Material and methods
20.3 Results and discussion
20.4 Conclusion
References
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
Abstract
Chapter Outline
21.1 Introduction
21.2 Sonolysis and heat-activated persulfate processes
21.3 Micromodeling of acoustic cavitation for radicals production
21.4 Synergism of coupling 1.7 MHz-acoustic cavitation field and heat-activated persulfate
21.5 Synergism dependence of initial persulfate concentration
21.6 Synergism dependence of initial pollutant concentration
21.7 Synergism dependence of initial solution pH
21.8 Synergism dependence of liquid temperature
21.9 Conclusion
Acknowledgment
References
22. On the sonochemical production of nitrite and nitrate in water: A computational study
Abstract
Chapter Outline
22.1 Introduction
22.2 Literature data
22.3 Computational section
22.4 Plausible mechanisms for HNO2 and HNO3 formation
22.5 Conclusion
Acknowledgment
References
23. Numerical insight into the liquid compressibility effect on the sonochemical activity of acoustic bubbles
Abstract
Chapter Outline
23.1 Introduction
23.2 Model
23.3 Bubble fluctuation and •OH formation
23.4 Liquid compressibility effect-dependence of liquid temperature
23.5 Liquid compressibility effect-dependence of external static pressure
23.6 Conclusion
Acknowledgments
References
24. Extremely randomized tree: a new machines learning method for predicting coagulant dosage in drinking water treatment plant
Abstract
Chapter Outline
24.1 Introduction
24.2 Materials and methods
24.3 Modeling approaches
24.4 Results and discussion
24.5 Conclusions
References
25. Pareto design of multiobjective evolutionary neuro-fuzzy system for predicting scour depth around bridge piers
Abstract
Chapter Outline
25.1 Introduction
25.2 Description of models
25.3 Methodology
25.4 Scour depth modeling using ANFIS-DE/SVD
25.5 Results and discussion
25.6 Conclusion
References
26. River flow forecasting using stochastic and neuro-fuzzy-embedded technique: a comprehensive preprocessing-based assessment
Abstract
Chapter Outline
26.1 Introduction
26.2 Case studies
26.3 Methodology
26.4 Goodness of fit
26.5 Results and discussion
26.6 Conclusion
References
Index

Pijush Samui

Dr. Samui is an Associate Professor in the Department of Civil Engineering at NIT Patna, India. He received his PhD in Geotechnical Engineering from the Indian Institute of Science Bangalore, India, in 2008. His research interests include geohazard, earthquake engineering, concrete technology, pile foundation and slope stability, and application of AI for solving different problems in civil engineering. Dr. Samui is a repeat Elsevier editor but also a prolific contributor to journal papers, book chapters, and peer-reviewed conference proceedings.

Affiliations and expertise

Associate Professor, Dept. of Civil Engineering, National Institute of Technology Patna, Patna, Bihar, India

Hossein Bonakdari

Dr. Hossein Bonakdari is a distinguished professor in the Department of Civil Engineering at the University of Ottawa, specializing in mathematical modeling and artificial intelligence (AI). A leading expert in AI-driven data analysis, he has pioneered advanced algorithms for real-time forecasting and big data interpretation, significantly improving the understanding and management of environmental systems.

Dr. Bonakdari has authored four books, published over 320 peer-reviewed journal articles, contributed to more than 20 book chapters, and delivered over 100 presentations at national and international conferences. As a respected editorial board member of several leading journals, he continues to shape research in his field. His groundbreaking contributions have earned him global recognition, ranking him among the top 2% of the world's scientists from 2019 to 2024.

Affiliations and expertise

Associate Professor, Department of Civil Engineering, University of Ottawa, Ontario, Canada

Ravinesh Deo

Professor Ravinesh Deo is an Associate Professor at University of Southern Queensland, Australia, Program Director for Postgraduate Science Program and Research Leader in Artificial Intelligence. He also serves as Associate Editor for two international journals: Stochastic Environmental Research and Risk Assessment and the ASCE Journal Hydrologic Engineering journal (USA). As an Applied Data Scientist with proven leadership in artificial intelligence, his research develops decision-systems with machine learning, heuristic and metaheuristic algorithms to improve real-life predictive systems especially using deep learning explainable AI, convolutional neural networks and long short-term memory networks. He was awarded internationally competitive fellowships including Queensland Government U.S. Smithsonian Fellowship, Australia-India Strategic Fellowship, Australia-China Young Scientist Exchange Award, Japan Society for Promotion of Science Fellowship, Chinese Academy of Science Presidential International Fellowship and Endeavour Fellowship. He is a member of scientific bodies, won Publication Excellence Awards, Head of Department Research Award, Dean’s Commendation for Postgraduate Supervision, BSc Gold Medal for Academic Excellence and he was the Dux of Fiji in Year 13 examinations. Professor Deo held visiting positions at United States Tropical Research Institute, Chinese Academy of Science, Peking University, Northwest Normal University, University of Tokyo, Kyoto and Kyushu University, University of Alcala Spain, McGill University and National University of Singapore. He has undertaken knowledge exchange programs in Singapore, Japan, Europe, China, USA and Canada and secured international standing by researching innovative problems with global researchers. He has published Books with Springer Nature, Elsevier and IGI and over 190 publications of which over 140 are Q1 including refereed conferences, Edited Books and book chapters. Professor Deo’s papers have been cited over 4,000 times with Google Scholar H-Index of 36 and a Field Weighted Citation Index exceeding 3.5.

Affiliations and expertise

Associate Professor, University of Southern Queensland, Australia, Program Director for Postgraduate Science Program and Research Leader in Artificial Intelligence

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