Artificial Intelligence and Modeling for Water Sustainability

Auteur

Alaa El Din Mahmoud, Manal Fawzy, Nadeem Ahmad Khan

Texte du rabat

Written by experts in academia and industry Artificial Intelligence and Modeling for Water Sustainability: Global Challenges helps governments, industries, and homeowners address water pollution problems more quickly and efficiently, and gain better insight into the implementation of more effective remedial measures.

Résumé
Written by experts in academia and industry Artificial Intelligence and Modeling for Water Sustainability: Global Challenges helps governments, industries, and homeowners address water pollution problems more quickly and efficiently, and gain better insight into the implementation of more effective remedial measures.

Contenu

Introduction. Environmental Models for Sustainable Development. Role of Artificial Intelligence in Water Sector: Dependency on Automation Systems. Modeling and Prediction of Water Security Connected to Global Challenges. Simulation Models of Threatened Aquatic Ecosystems. Monitoring of Contaminants in Aquatic Ecosystems using Big Data. Mitigation of Water Shortage Issues: Water 4.0. Water Pollution Monitoring Using Artificial Intelligent: Basic Algorithm Design. Neural Networks in Wastewater Treatment Process. Circular Economy Models in Water and Wastewater. Integrated Water Resources Management: Perspectives and Challenges. Hydrological Modeling for Sustainable Groundwater Resources.