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This book provides a practical guide to environmental engineering, covering a wide range of computational tools, modeling approaches, and data analysis methods. It explores computational modeling techniques, including mathematical models, numerical methods, and computer simulations, for modeling environmental systems and processes.
List of contents
1. Introduction To Environmental Engineering Techniques and Computational Modeling 2. Fundamentals Of Environmental Systems and Processes 3. Computational Methods For Environmental Data Analysis 4. Modeling and Simulation Of Environmental Systems 5. Computational Approaches For Water Quality Assessment and Management 6. Computational Techniques For Air Pollution Modeling and Control 7. Soil and Groundwater Remediation: Computational Approaches 8. Waste Management and Recycling: Computational Tools and Analysis 9. Computational Approaches For Environmental Impact Assessment 10. Risk Assessment and Management: Computational Methods 11. Computational Tools For Sustainable Energy Planning and Management 12. Computational Approaches For Climate Change Modeling and Adaptation 13. Integration Of Computational Techniques In Environmental Decision-Making 14. Case Studies: Applications Of Computational Environmental Engineering Techniques 15. Future Perspectives and Challenges In Computational Environmental Engineering
About the author
Akhilesh Kumar Yadav completed PhD in Environmental Engineering from IIT (BHU), Varanasi, India and post-doctorate at Environmental Science and Engineering Department, IIT Bombay, Mumbai. Currently, he is working as Post-Doctoral Fellow at Department of Environmental Engineering and Management, Chaoyang University of Technology, Taichung, Taiwan. He has to his credit with more than 30 SCI/SCIE/Scopus research articles, 05 book chapters, 10 proceeding articles, 7 edited/authored books (02 ongoing), and 01 patent granted.
Summary
This book provides a practical guide to environmental engineering, covering a wide range of computational tools, modeling approaches, and data analysis methods. It explores computational modeling techniques, including mathematical models, numerical methods, and computer simulations, for modeling environmental systems and processes.
