Water Resource Modeling and Computational Technologies

Water Resource Modeling and Computational Technologies

1st Edition - October 21, 2022

Write a review

  • Editors: Mohammad Zakwan, Abdul Wahid, Majid Niazkar, Uday Chatterjee
  • Paperback ISBN: 9780323919104
  • eBook ISBN: 9780323985178

Purchase options

Purchase options
Available
DRM-free (EPub, PDF)
Sales tax will be calculated at check-out

Institutional Subscription

Free Global Shipping
No minimum order

Description

Water 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.

Key Features

  • 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

Readership

Water Scientists and Environmental Scientists, geospatial scientists. Water resource engineers

Table of Contents

  • Section I - Introduction
    1. Artificial intelligence and machine learning in water resources engineering

    Section II - Application of Artificial Intelligence to Water Resources
    2. Demystifying Artificial Intelligence amidst Sustainable Agricultural Water Management
    3. Bidirectional Long Short-Term Memory Based Empirical Wavelet Transform: a New Hybrid Artificial Intelligence Model for Robust Prediction of Soil Moisture Content
    4. Fuzzy logic modeling of groundwater potential in Marinduque, Philippines
    5. Soft-computing approach to scour depth prediction under wall jets

    Section III – Image Processing Applications in Water Resources
    6. Assessment of Water Resources using Remote Sensing and GIS Techniques
    7. Establishing Spatial Relationships Between Land Use and Water Quality Influenced by Urbanization
    8. Satellite sensors, machine learning and river channel unit types: A review
    9. Geospatial modeling in the assessment of environmental resources for sustainable water resource management in a semi-arid region: A GIS approach
    10. Study of morphologic changes of Arvand River in the past and predicting its future changes
    11. Rainfall runoff modelling using GIS: a case study of Gonbad Kavous, Iran
    12. GIS-Based Hydrological Models for a Sustainable Groundwater Management: An Overview
    13. Development of Rainfall-Runoff Model Using ANFIS with an Integration of GIS: A Case Study
    14. Assessing the impact of land use and land cover changes on the water balances in an urbanized peninsular region of India

    Section IV - Advances in Hydroinformatics mitigation
    15. Random Vector Functional Link Network based On Variational Mode Decomposition for Accurate Prediction of River Water Turbidity
    16. Water Quality Management: Development of a Fuzzy based index in Hydroinformatics platform
    17. Appraisal Of Multi-Gene Genetic Programming For Estimating Optimal Properties Of Lined Open Channels With Circular Shapes Incorporating Constant And Variable Roughness Scenarios
    18. Geoinformatics based assessment of gross irrigation requirement of different crops grown in the south-western region of Haryana, India

    Section V - Advances in Watershed Modelling
    19. Theorical background and application of numerical models to surface water resources
    20. Prophecy of groundwater fluctuation through SVM-FFA hybrid approaches in arid watershed, India
    21. Basin-scale Subsurface Hydrology: Modelling of a stressed and data-scarce aquifer using hillslope-based approach

    Section VI - Advances in Numerical Modelling in Water Resources
    22. Multiphysics modelling of groundwater flow on the example of a coupled thermo-hydro-mechanical model of infiltration of water warmer or cooler than the surroundings.
    23. Hydro-Salinity Modeling of Water and Salt Dynamics in Irrigated Soil Groundwater Systems

    Section VII - Optimization Techniques and Analytical Formulations in Water Resource
    24. Multi-objective optimization techniques for urban water management: An Agent Modeling Approach
    25. Hybrid Extreme Learning Machine Optimized Bat Algorithm based on Ensemble Empirical Mode Decomposition for Modelling Dissolved Oxygen in River
    26. Application of machine learning models to side-weir discharge coefficient estimations in trapezoidal and rectangular open channels

    Section VIII - Advances in Sediment Transport Modelling and River Engineering
    27. The hole size analysis of bursting events around mid-channel bar using the conditional method approach
    28. Magnitude Frequency Analysis of Sediment Transport: Concept, Review and Application
    29. Last Century Evolution of Local Scour Measuring Techniques

    Section IX - Computational Intelligence in Extreme Hydrology: Flood and Droughts
    30. Understanding trends and its variability of rainfall and temperature over Patna (Bihar)
    31. A review of climate change trends and scenarios (2011-2021)
    32. Climate change and trend analysis of precipitation and temperature: a case study of Gilan, Iran
    33. Innovative Triangular Trend analysis of monthly precipitation at Shiraz station, Iran
    34. Understanding Rainfall Variability and Trends in Arid Region of Rajasthan, India
    35. Flash Floods and their Impact on Natural Life Using Surface Water Model and GIS Technique at Wadi Degla Natural Reserve Area, Egypt
    36. GLOF Early Warning System – Computational Challenges and Solutions
    37. Flood Forecasting using novel ANFIS-WOA approach in Mahanadi river basin, India

Product details

  • No. of pages: 720
  • Language: English
  • Copyright: © Elsevier 2022
  • Published: October 21, 2022
  • Imprint: Elsevier
  • Paperback ISBN: 9780323919104
  • eBook ISBN: 9780323985178

About the Editors

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, India

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, India

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, Iran

Uday Chatterjee

Dr. Uday Chatterjee PhD is an Applied Geographer with a Post-Graduate degree in Applied Geography at Utkal University and Doctoral Degrees in Applied Geography at Ravenshaw University, Cuttack, Odisha, India. He has contributed many research papers published in various reputed national and international journals and edited book volumes. He has co-edited one book and is a member of 8 academic societies. His areas of research interest include urban planning, social and human geography, applied geomorphology, hazards and disasters, environmental issues, land use, and rural development. Currently Dr. Uday Chatterjee is Assistant Professor in the Department of Geography, Bhatter College, India.

Affiliations and Expertise

Assistant Professor, Department of Geology, Bhatter College, Dantan, West Bengal, India

Ratings and Reviews

Write a review

There are currently no reviews for "Water Resource Modeling and Computational Technologies"