Water Resource Modeling and Computational Technologies

Mohammad Zakwan, Abdul Wahid, Majid Niazkar, Uday Chatterjee

• Publisher: Elsevier
• Year: 2022
• Print ISBN: 9780323919104
• eBook ISBN: 9780323985178
• Topic: Biological Sciences
• Subtopic: Business Intelligence
• Index: Biological Sciences

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. - 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

Table of contents

• Cover image
• Title page
• Table of Contents
• Series Page
• Copyright
• Contributors
• About the editors
• Foreword
• Preface
• Acknowledgments
• Section I: Introduction
• Chapter 1: Artificial intelligence and machine learning in water resources engineering
• Section II: Application of artificial intelligence to water resources
• Chapter 2: Demystifying artificial intelligence amidst sustainable agricultural water management
• Section III: Image processing applications in water resources
• Chapter 6: Assessment of water resources using remote sensing and GIS techniques
• Section IV: Advances in hydroinformatics mitigation
• Chapter 15: Random vector functional link network based on variational mode decomposition for predicting river water turbidity
• Section V: Advances in watershed modelling
• Chapter 19: Theoretical background and application of numerical modeling to surface water resources
• 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
• Chapter 23: Hydrosalinity modeling of water and salt dynamics in irrigated soil groundwater systems
• 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
• 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
• Section IX: Computational intelligence in extreme hydrology: flood and droughts
• Chapter 30: Understanding trend and its variability of rainfall and temperature over Patna (Bihar)
• Index