
Water Resource Modeling and Computational Technologies
- 1st Edition, Volume 7 - October 21, 2022
- Imprint: Elsevier
- Editors: Mohammad Zakwan, Abdul Wahid, Majid Niazkar, Uday Chatterjee
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 1 9 1 0 - 4
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 8 5 1 7 - 8
Water Resource Modeling and Computational Technologies, Seventh Edition provides the reader with a comprehensive overview of the applications that computational techniques have i… Read more

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Request a sales quoteWater Resource Modeling and Computational Technologies, Seventh Edition provides the reader with a comprehensive overview of the applications that computational techniques have in various sectors of water resource engineering. The book explores applications of recent modeling and computational techniques in various sectors of water resource engineering, including hydroinformatics, irrigation engineering, climate change, hydrologic forecasting, floods, droughts, image processing, GIS, water quality, aquifer mapping, basin scale modeling, computational fluid dynamics, numerical modeling of surges and groundwater flow, river engineering, optimal reservoir operation, multipurpose projects, and water resource management. As such, this is a must read for hydrologists, civil engineers and water resource managers.
- Presents contributed chapters from global experts in the field of water resources from both a science and engineering perspective
- Includes case studies throughout, providing readers with an opportunity to understand how case specific challenges can help with computational techniques
- Provides basic concepts as well as a literature review on the application of computational techniques in various sectors of water resources
Water Scientists and Environmental Scientists, geospatial scientists. Water resource engineers
- Cover image
- Title page
- Table of Contents
- Copyright
- Contributors
- About the editors
- Foreword
- Preface
- Acknowledgments
- Section I: Introduction
- Chapter 1: Artificial intelligence and machine learning in water resources engineering
- Abstract
- 1: Introduction
- 2: Materials and methods
- 3: Evolution of artificial intelligence and machine learning
- 4: Results and discussion
- 5: Conclusion
- References
- Section II: Application of artificial intelligence to water resources
- Chapter 2: Demystifying artificial intelligence amidst sustainable agricultural water management
- Abstract
- 1: Introduction
- 2: AI in agriculture
- 3: Current and future scope in AI for agriculture
- 4: Challenges of AI in agriculture
- 5: Conclusions
- Acknowledgments
- Conflict of interest
- References
- Further reading
- Chapter 3: Bidirectional long short-term memory-based empirical wavelet transform: A new hybrid artificial intelligence model for robust prediction of soil moisture content
- Abstract
- 1: Introduction
- 2: Materials and methods
- 3: Results and discussion
- 4: Conclusions
- 5: Recommendations
- References
- Chapter 4: Fuzzy logic modeling of groundwater potential in Marinduque, Philippines
- Abstract
- 1: Introduction
- 2: Material and methods
- 3: Results
- 4: Discussion
- 5: Conclusion
- References
- Chapter 5: Soft-computing approach to scour depth prediction under wall jets
- Abstract
- 1: Introduction
- 2: Materials and methods
- 3: Results and discussion
- 4: Conclusions
- References
- Section III: Image processing applications in water resources
- Chapter 6: Assessment of water resources using remote sensing and GIS techniques
- Abstract
- 1: Introduction
- 2: Remote sensing and GIS: Tools for sustainability of water resources
- 3: Global positioning system (GPS)
- 4: Case study: Hydrological response analysis of IARI watershed using remote sensing and GIS
- 5: Future recommendations for efficient water resource management
- 6: Conclusion
- References
- Chapter 7: Establishing spatial relationships between land use and water quality influenced by urbanization
- Abstract
- 1: Introduction
- 2: Study area
- 3: Material and methods
- 4: Results and discussion
- 5: Conclusion
- Acknowledgments
- References
- Chapter 8: Satellite sensors, machine learning, and river channel unit types: A review
- Abstract
- 1: Introduction
- 2: Bedrock channels
- 3: River channels and remote sensing
- 4: Materials and methods
- 5: Results and discussion
- 6: Predicting bedrock channels using machine learning algorithms
- 7: Conclusion
- References
- Chapter 9: Geospatial modeling in the assessment of environmental resources for sustainable water resource management in a semiarid region: A GIS approach
- Abstract
- 1: Introduction
- 2: Study area
- 3: Material and methods
- 4: Results and discussion
- 5: Conclusions
- Conflict of interest
- References
- Chapter 10: Study of morphologic changes in the past and predicting future changes of border rivers (case study: Arvand River, Iran-Iraq Border Line)
- Abstract
- 1: Introduction
- 2: Materials and methods
- 3: Results and discussion
- 4: Conclusion
- References
- Further reading
- Chapter 11: Rainfall-runoff modeling using GIS: A case study of Gorganrood Watershed, Iran
- Abstract
- 1: Introduction
- 2: Rationale of the study
- 3: Material and methods
- 4: Results and discussion
- 5: Conclusion
- References
- Chapter 12: A review of GIS-based hydrological models for sustainable groundwater management
- Abstract
- 1: Introduction
- 2: Hydrological modeling
- 3: Geographic information system (GIS)
- 4: Benefits of using GIS-based hydrological models for groundwater modeling
- 5: Drawbacks of GIS-based hydrological models for groundwater modeling
- 6: Conclusion and future prospects
- References
- Chapter 13: Development of rainfall-runoff model using ANFIS with an integration of GIS: A case study
- Abstract
- 1: Introduction
- 2: Study area
- 3: Methodology
- 4: Results and discussions
- 5: Conclusion
- References
- Chapter 14: Assessing the impact of land use and land cover changes on the water balances in an urbanized peninsular region of India
- Abstract
- 1: Introduction
- 2: Materials and methods
- 3: Results and discussion
- 4: Conclusion
- References
- Section IV: Advances in hydroinformatics mitigation
- Chapter 15: Random vector functional link network based on variational mode decomposition for predicting river water turbidity
- Abstract
- 1: Introduction
- 2: Materials and methods
- 3: Results and discussion
- 4: Conclusions
- 5: Recommendations
- Acknowledgments
- References
- Chapter 16: Water quality management: Development of a fuzzy-based index in hydro informatics platform
- Abstract
- 1: Introduction
- 2: Study area
- 3: Materials and methods
- 4: Results and discussion
- 5: Conclusion
- Acknowledgments
- References
- Chapter 17: Appraisal of multigene genetic programming for estimating optimal properties of lined open channels with circular shapes incorporating constant and variable roughness scenarios
- Abstract
- 1: Introduction
- 2: Methods and materials
- 3: Results and discussion
- 4: Conclusions
- Funding
- Conflict of interest
- References
- Chapter 18: Geoinformatics-based assessment of gross irrigation requirement of different crops grown in the south-western region of Haryana, India
- Abstract
- 1: Introduction
- 2: Study area
- 3: Material and methods
- 4: Results and discussion
- 5: Conclusions
- Conflict of interest
- References
- Section V: Advances in watershed modelling
- Chapter 19: Theoretical background and application of numerical modeling to surface water resources
- Abstract
- 1: Introduction
- 2: Materials and methods
- 3: Conclusions
- References
- Chapter 20: Prophecy of groundwater fluctuation through SVM-FFA hybrid approaches in arid watershed, India
- Abstract
- 1: Introduction
- 2: Study area
- 3: Material and methods
- 4: Results and discussion
- 5: Conclusions
- Conflict of interest
- Research funding
- References
- Further reading
- Chapter 21: Basin-scale subsurface hydrology: Modeling of a stressed and data-scarce aquifer using hillslope-based approach
- Abstract
- 1: Introduction
- 2: Materials and methods
- 3: Study area and data collection
- 4: Field application
- 5: Results and discussion
- 6: Summary and conclusions
- References
- Section VI: Advances in numerical modelling in water resources
- Chapter 22: Multiphysics modeling of groundwater flow on the example of a coupled thermo-hydro-mechanical model of infiltration of water warmer or cooler than the surroundings
- Abstract
- 1: Introduction
- 2: Mathematical models of fluid flow in porous media
- 3: Results and discussion
- 4: Conclusions
- Acknowledgments
- References
- Chapter 23: Hydrosalinity modeling of water and salt dynamics in irrigated soil groundwater systems
- Abstract
- 1: Introduction
- 2: Materials and methods
- 3: Hydrosalinity models
- 4: Results and discussions
- 5: Subsurface drainage modeling
- 6: Conclusions
- References
- Section VII: Optimization techniques and analytical formulations in water resource
- Chapter 24: Multiobjective optimization techniques for integrated urban water management: A case study of Varanasi city
- Abstract
- 1: Introduction
- 2: Material and methods
- 3: Case study of Varanasi City
- 4: Conclusion
- References
- Chapter 25: Hybrid extreme learning machine optimized bat algorithm based on ensemble empirical mode decomposition for modeling dissolved oxygen in river
- Abstract
- 1: Introduction
- 2: Materials and methods
- 3: Results and discussion
- 4: Conclusions
- 5: Recommendations
- References
- Further reading
- Chapter 26: Application of machine learning models to side-weir discharge coefficient estimations in trapezoidal and rectangular open channels
- Abstract
- 1: Introduction
- 2: Material and methods
- 3: Results and discussion
- 4: Conclusion
- References
- Section VIII: Advances in sediment transport modelling and river engineering
- Chapter 27: The hole size analysis of bursting events around mid-channel bar using the conditional method approach
- Abstract
- 1: Introduction
- 2: Experimental program
- 3: Bursting events
- 4: Conclusions
- 5: Limitation and scope for future research work
- References
- Chapter 28: Magnitude frequency analysis of sediment transport: Concept, review, and application
- Abstract
- 1: Introduction
- 2: Literature review
- 3: Materials and method
- 4: Results and discussion
- 5: Applications of effective discharge in river design and monitoring
- 6: Conclusion
- References
- Chapter 29: Last century evolution in local scour measuring techniques
- Abstract
- 1: Introduction
- 2: Scour monitoring
- 3: Scour monitoring measurement method in the laboratory
- 4: Scour monitoring using structural dynamic
- 5: Photogrammetry
- 6: Conclusion
- References
- Further reading
- Section IX: Computational intelligence in extreme hydrology: flood and droughts
- Chapter 30: Understanding trend and its variability of rainfall and temperature over Patna (Bihar)
- Abstract
- 1: Introduction
- 2: Area of research and information sources
- 3: Material and methods
- 4: Results and discussion
- 5: Conclusion
- References
- Chapter 31: A review of climate change trends and scenarios (2011–2021)
- Abstract
- 1: Introduction
- 2: Methodology
- 3: Results and discussion
- 4: Conclusion
- References
- Chapter 32: Climate change and trend analysis of precipitation and temperature: A case study of Gilan, Iran
- Abstract
- 1: Introduction
- 2: Materials and methods
- 3: Performance evaluation of model used
- 4: Trend analysis
- 5: Results and discussion
- 6: Conclusions
- References
- Chapter 33: Innovative triangular trend analysis of monthly precipitation at Shiraz Station, Iran
- Abstract
- 1: Introduction
- 2: Materials and methods
- 3: Innovative trend analysis (ITA)
- 4: Results and discussion
- 5: Conclusion
- References
- Chapter 34: Overview of trend and homogeneity tests and their application to rainfall time series
- Abstract
- 1: Introduction
- 2: Materials and methods
- 3: Results and discussion
- 4: Limitations and future challenges
- 5: Recommendations
- 6: Concluding remarks
- Acknowledgments
- References
- Chapter 35: Flash floods and their impact on natural life using surface water model and GIS technique at Wadi Degla natural reserve area, Egypt
- Abstract
- 1: Introduction
- 2: Materials and methods
- 3: Results and discussions
- 4: Impact on natural life
- 5: Conclusions
- Funding
- Availability of data and materials
- Ethics approval and consent to participate
- Consent for publication
- Competing interests
- References
- Chapter 36: GLOF Early Warning System: Computational challenges and solutions
- Abstract
- 1: Introduction
- 2: Materials and methods
- 3: Results and discussion
- 4: Salient features of GLOF Early Warning System
- 5: Limitations of the study
- 6: Recommendations
- 7: Conclusions
- Acknowledgments
- References
- Chapter 37: Flood forecasting using novel ANFIS-WOA approach in Mahanadi river basin, India
- Abstract
- 1: Introduction
- 2: Study area
- 3: Material and methods
- 4: Results and discussion
- 5: Conclusion
- References
- Index
- Edition: 1
- Volume: 7
- Published: October 21, 2022
- No. of pages (Paperback): 720
- No. of pages (eBook): 720
- Imprint: Elsevier
- Language: English
- Paperback ISBN: 9780323919104
- eBook ISBN: 9780323985178
MZ
Mohammad Zakwan
Dr. Mohammad Zakwan PhD is presently working as an Assistant Professor in Maulana Azad National University, Hyderabad, India. He has published numerous papers and has a demonstrated history of working in Water Resource Engineering. He has been serving as an editorial board member and reviewer for various journals. His research interests include modelling of infiltration, modelling river water quality, sediment rating curves, stage discharge curves, computation of effective discharge and dominant discharge, climate change, trend analysis in water resources, river engineering, hydraulics, and hydrology of rivers. Dr. Mohammad Zakwan was a recipient of Gold medals during his M.Tech and B.Tech. He was awarded MHRD GATE scholarship and CSIR NET JRF scholarship for his M.Tech and PhD, respectively.
Affiliations and expertise
Assistant Professor, Department of Civil Engineering, Maulana Azad National Urdu University, Hyderabad, Telangana, IndiaAW
Abdul Wahid
Prof. Abdul Wahid is presently serving as Professor and Dean of the School of Technology, Maulana Azad National University, Hyderabad, India. He has also served as Visiting Professor (Research) in National Defense University Malaysia. He has over 20 years of teaching experience. He has published numerous papers in Science Citation Indexed and Scopus Journals with a demonstrated history of working in Computational Intelligence. He has been serving as an editorial board member and reviewer for various journals. He has been session chair and keynote speaker in many international conferences. His research interests include Computer Architecture, Artificial Neural Network, Computer Security and Reliability.
Affiliations and expertise
Professor and Dean, School of Technology, Maulana Azad National University, Hyderabad, IndiaMN
Majid Niazkar
Dr. Majid Niazkar received his BS degree in Civil Engineering (2012), MS degree in Hydraulic Structures (2014) and PhD degree in Water Resources (2019) from the Department of Civil and Environmental Engineering, Shiraz University, Shiraz, Iran. He is currently a research assistant in the Department of Civil and Environmental Engineering, Shiraz University. His research interests include hydrology (specifically: flood modeling and routing), open channel hydraulics, water resources management, artificial intelligence (AI) applications in water resources, parameter estimation, bed roughness prediction, water distribution networks, optimization, numerical modeling, river engineering and sediment transport, groundwater, assessing the impacts of climate change, and interdisciplinary topics like AI in medicine. He has published more than 60 papers in international journals and conference proceedings.
Affiliations and expertise
Research assistant, Department of Civil and Environmental Engineering, Shiraz University, IranUC
Uday Chatterjee
Dr. Uday Chatterjee is an Assistant Professor at Bhatter College in Dantan, Paschim Medinipur, West Bengal, India, and an Applied Geographer with a Post-Graduate in Applied Geography from Utkal University and a Doctorate in Applied Geography from Ravenshaw University in Cuttack, Odisha. He has contributed to a number of research papers that have been published in reputable national and international publications, as well as edited book volumes. He has also organized (as the convener) a Faculty Development Program on "Modern ways of teaching and advanced research methods," which was funded by the Indian Council of Social Science Research (ICSSR). Urban Planning, Social and Human Geography, Applied Geomorphology, Hazards & Disasters, Environmental Issues, Land Use and Rural Development are some of his research interests. The West Bengal Pollution Control Board (WBPCB) of the Government of West Bengal, India, financed his research. He has worked as a reviewer for a number of international publications. Dr. Uday Chatterjee is currently the lead editor of the Springer Special Issue (S.I) on Urbanism, Smart Cities, and Modelling.
Affiliations and expertise
Assistant Professor, Department of Geography, Bhatter College (Affiliated to Vidyasagar University), Dantan, IndiaRead Water Resource Modeling and Computational Technologies on ScienceDirect