Computational Techniques in Environmental Engineering (eBook, PDF)

Redaktion: Yadav, Akhilesh Kumar

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 300
• Erscheinungstermin: 31. März 2025
• Englisch
• ISBN-13: 9781040329979
• Artikelnr.: 73418083

Autorenporträt

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.

Inhaltsangabe

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