1st Edition
Handbook of Digitalization and Big Data in the Water Sector Role of Artificial Intelligence and Machine Learning (Volume 1)
1 Harnessing Machine Learning in the Water Sector to Accelerate Sustainable Development Goals (SDGs)
Khumbolake Faith Ngulube and Mahmoud Nasr
2 Unlocking the Potential of AI in the Water Sector
Amine Dahane, Rabaie Benameur, Mohammed Kamal Benhaoua, Manel Naloufi, Sami Souihi, Françoise Lucas, and Abdelhamid Mellouk
3 The Applications of Internet of Things in Water Sector: Taxonomy, Use Cases, Key Challenges, and Future Road Map
Partha Pratim Ray
4 Deployment of Artificial Intelligence and Satellite to Promote Sustainable Cities
Abdulsalam Ibrahim Shema, Abdullahi Umar Ibrahim, Halima Abdulmalik, Mohammed Mansur Ibrahim, Muhammad Kabir Balarabe, and Lawan Kamiludeen Abba
5 Role of AI Policy in Responding to Climate Change and Mitigating the Food and Energy Crisis
Fayaz A. Malla, Afaan A. Malla, Showkat Rashid, Nazir A. Sofi, Mukhtar Ahmed, Javaid A. Tali, and Imtiyaz Ahmad Gull
6 AI-Based Modeling for Predicting the Disinfection By-Products in Water
Doaa A. El-Emam
7 Big Data in Support of Carbon Neutrality in Water Sector
Edwin Mohan, Jemila Percy Alwin, and Eniyan Mony Chandran
8 Using Satellite Remote Sensing Monitoring in Boosting Water Resource Substitutability in Agriculture
Wafa Hassen, Bilel Hassen, and Abdennaceur Hassen
9 AI in Wastewater Treatment Applications
Surisetti Divya, Kunal Singh, Pinku Chandra Nath, and Vinay Kumar Pandey
10 Strengthening Machine Learning Reproducibility to Ensure Water Security in the Long Term
Mohd Nizam Lani, Ahmad Muhaimin Ismail, Mohd Yahya Fadzli Jusoh, Nik Hafizah Nik Ubaidillah, Muhammad Fattah Fazel, Asnida Ismail, Kiki Yulianto, Azzimi Sohedein, and Vira Putri Yarlina
11 Machine Learning Application Based on Big Data for Prediction of Wastewater Quality
Ujala Ejaz
12 AI Success in Water Management
Neeraj Singh Parihar
13 Application of Machine Learning Techniques Predicated on Extensive Datasets for the Forecasting of Wastewater Quality
Sourav Maity and Alok Kumar Yadav
14 Predicting Future Trends in the Integration of AI and Water Management
Sergio Peña Neira
Biography
Tonni Agustiono Kurniawan is a recognized global leader in tackling complex environmental problems that have significant societal relevance and positive impact in the world. His focus on sustained scientific research is evident from more than 355 journal articles, 25 articles in conference proceedings, 12 monographs, and 28 book chapters. To date, Kurniawan is the first author of 15% of the works with an h-index of 68 and citations of over 19,500 counts (Scopus), while being the corresponding author of one-third of the same works. The scientific contributions are tangible manifestations of his competence and research impact in the discipline.
Abdelkader Anouzla earned his Ph.D. in Science and Technology from Hassan II University – Faculty of Science and Technology Mohammedia, specializing in water treatment. He has published almost 100 peer-reviewed articles and 20 books. He has been invited as a guest speaker to several conferences and has also published his research in numerous proceedings. His research interests include water and waste treatment, wastewater treatment plant operation, leachate discharge treatment, solid waste sorting, technical landfill management, composting of solid waste and sludge from wastewater treatment plants, water-food-energy nexus, microplastic pollution, digitalization in the water sector, and nitrogen pollution.
