Water Resource Modeling and Computational Technologies
eBook - ePub

Water Resource Modeling and Computational Technologies

  1. 720 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Water Resource Modeling and Computational Technologies

About this book

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

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Yes, you can access Water Resource Modeling and Computational Technologies by Mohammad Zakwan,Abdul Wahid,Majid Niazkar,Uday Chatterjee in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Business Intelligence. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Series Page
  5. Copyright
  6. Contributors
  7. About the editors
  8. Foreword
  9. Preface
  10. Acknowledgments
  11. Section I: Introduction
  12. Chapter 1: Artificial intelligence and machine learning in water resources engineering
  13. Section II: Application of artificial intelligence to water resources
  14. Chapter 2: Demystifying artificial intelligence amidst sustainable agricultural water management
  15. Section III: Image processing applications in water resources
  16. Chapter 6: Assessment of water resources using remote sensing and GIS techniques
  17. Section IV: Advances in hydroinformatics mitigation
  18. Chapter 15: Random vector functional link network based on variational mode decomposition for predicting river water turbidity
  19. Section V: Advances in watershed modelling
  20. Chapter 19: Theoretical background and application of numerical modeling to surface water resources
  21. Section VI: Advances in numerical modelling in water resources
  22. 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
  23. Chapter 23: Hydrosalinity modeling of water and salt dynamics in irrigated soil groundwater systems
  24. Section VII: Optimization techniques and analytical formulations in water resource
  25. Chapter 24: Multiobjective optimization techniques for integrated urban water management: A case study of Varanasi city
  26. Section VIII: Advances in sediment transport modelling and river engineering
  27. Chapter 27: The hole size analysis of bursting events around mid-channel bar using the conditional method approach
  28. Section IX: Computational intelligence in extreme hydrology: flood and droughts
  29. Chapter 30: Understanding trend and its variability of rainfall and temperature over Patna (Bihar)
  30. Index