1st Edition
Artificial Intelligence and Modeling for Water Sustainability Global Challenges
Artificial intelligence and the use of computational methods to extract information from data are providing adequate tools to monitor and predict water pollutants and water quality issues faster and more accurately. Smart sensors and machine learning models help detect and monitor dispersion and leakage of pollutants before they reach groundwater. With contributions from experts in academia and industries, who give a unified treatment of AI methods and their applications in water science, this book help governments, industries, and homeowners not only address water pollution problems more quickly and efficiently, but also gain better insight into the implementation of more effective remedial measures.
FEATURES
- Provides cutting-edge AI applications in water sector.
- Highlights the environmental models used by experts in different countries.
- Discusses various types of models using AI and its tools for achieving sustainable development in water and groundwater.
- Includes case studies and recent research directions for environmental issues in water sector.
- Addresses future aspects and innovation in AI field related to watersustainability.
This book will appeal to scientists, researchers, and undergraduate and graduate students majoring in environmental or computer science and industry professionals in water science and engineering, environmental management, and governmental sectors. It showcases artificial intelligence applications in detecting environmental issues, with an emphasis on the mitigation and conservation of water and underground resources.
1. Water Global Challenges and Sustainability
Alaa El Din Mahmoud, Patrycja Krasucka
2. Integrated Water Resources Management: Perspective and Challenges
Uun Yanuhar, Heru Suryanto, Nico Rahman Caesar
3. Artificial Intelligence for Sustainable Water Management and Treatment
Manal Fawzy, Alaa El Din Mahmoud, Mohamed Hosny, Nourhan El Maghrabi, Ahmed M. Abdelfatah.
4. Advances in Artificial Intelligence Applications in Sustainable Water Remediation
Alaa El Din Mahmoud, Nadeem Ahmad Khan, Yung-Tse Hung Uun
5. Water Quality And Water Pollution Monitoring Using Artificial Intelligence
Ghadir A. El-Chaghaby, Sayed Rashad, Murthy Chavali, El-Shimaa A. Rawash, Muhammad Abdul Moneem, Soliman R. Radwan
6. Water Quality Monitoring Using Sensors And Models
Mudiaga Chukunedum Onojake, Chidi Obi, Alaa El Din Mahmoud
7. Monitoring of Contaminants in Aquatic Ecosystems using Big Data
Miraji Hossein, Asha Ripanda, Mureithi Eunice, Othman Chande, Faustin Ngassapa, Alaa El Din Mahmoud
8. Mitigation of Water Shortages with Artificial Intelligence
Gloria Ukalina Obuzor, Fredrick Ojija, Benton Otieno, Charles Ikenna Osu
9. Implementation of Industry 4.0 in Water Treatment
Alan Guajardo, Abrahan Mora, Marco A. Mata-Gómez, Pabel Cervantes-Avilés
10. Computational Modeling and Assessment of Sustainable Materials Efficiency to Remove Heavy Metals from Drinking Water
Wessam Omara, S. Abdalla, Sherif Kandil
11. Circular Economy Models in Water and Wastewater Sectors
Alaa El Din Mahmoud, Eyas Mahmoud
12. Water Circular Economy Strategic Approaches: Morocco Case Study
Hanae Hamidi, Houda El Haddad
Biography
Alaa El Din Mahmoud, Manal Fawzy, Nadeem Ahmad Khan
