水工学のためのモデル化と数学的ツール<br>Water Engineering Modeling and Mathematic Tools

個数:1
紙書籍版価格
¥28,153
  • 電子書籍
  • ポイントキャンペーン

水工学のためのモデル化と数学的ツール
Water Engineering Modeling and Mathematic Tools

  • 著者名:Samui, Pijush (EDT)/Bonakdari, Hossein (EDT)/Deo, Ravinesh (EDT)
  • 価格 ¥22,423 (本体¥20,385)
  • Elsevier(2021/02/05発売)
  • 3月の締めくくり!Kinoppy 電子書籍・電子洋書 全点ポイント30倍キャンペーン(~3/31)
  • ポイント 6,090pt (実際に付与されるポイントはご注文内容確認画面でご確認下さい)
  • 言語:ENG
  • ISBN:9780128206447
  • eISBN:9780128208779

ファイル: /

Description

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.

  • Includes firsthand experience about artificial intelligence models, utilizing case studies
  • Describes biological, physical and chemical techniques for the treatment of surface water, groundwater, sea water and rain/snow
  • Presents the application of new instruments in water engineering

Table of Contents

1. Numerical insight into the sonolytic ozonation applied for water treatment 2. Sea water desalination 3. New Formulation for Predicting Soil Moisture Content using only Soil Temperature as Predictor: Multivariate Adaptive Regression Splines Vs Random Forest, MLPNN, M5Tree and MLR 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 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 6. Recent remediation technologies for contaminated water 7. Water chemistry in the biological studies by using nuclear analytical techniques 8. Protection from harmful effects of water – Examples from Serbia 9. Gravity-driven Membrane Filtration for Water and Wastewater Treatment 10. Modelling Hydraulics and Water Quality in Distribution Networks: Review of Existing Mathematical Techniques and Software 11. Remediation of oil contaminated water for reuse using polymeric nanocomposites 12. Hydrological contaminant transport 13. Desalination technologies and potential mathematical modelling for sustainable water-energy nexus 14. Emerging Trends of Water Quality Monitoring and Applications of Multivariate Tools 15. Experimental study on bed deformations due to flows over macro-roughness conditions 16. An Introduction to Hydraulics and Hydraulic Structures 17. Mixing of Inclined Dense Jets: A Numerical Modelling 18. Real-time Flood Forecasting with Weather Radar and Distributed Hydrological Model 19. Flood susceptibility mapping in ungauged watersheds using a statistical model 20. Groundwater potential mapping using hybridization of simulated annealing and random forest 21. Synergy of Combining Megahertz Ultrasound Frequency and Heat Activated Persulfate for Wastewater Decontamination: Micro-modeling of Acoustic Cavitation and its Role in the Sono-hybrid Process 22. On the sonochemical production of nitrite and nitrate in water: Computational study 23. Numerical insight into the liquid compressibility effect on the sonochemical activity of acoustic bubbles 24. Extremely Randomized Tree: A New Machines Learning Method for predicting Coagulant Dosage in Drinking Water Treatment Plant 25. Pareto Design of Multi-Objective Evolutionary Neuro-Fuzzy System for Predicting Scour Depth around Bridge Piers 26. River Flow Forecasting Using Stochastic and Neuro-Fuzzy Embedded Technique: A Comprehensive Pre-Processing Based Assessment 27. Desalination technologies and potential mathematical modelling for sustainable water-energy nexus