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Phytoremediation of Domestic Wastewater with the Internet of Things and Machine Learning Techniques
Phytoremediation of Domestic Wastewater with the Internet of Things and Machine Learning Techniques highlights the most recent advances in phytoremediation of wastewater using the latest technologies. It discusses practical applications and experiences utilizing phytoremediation methods for environmental sustainability and the remediation of wastewater. It also examines the various interrelated disciplines relating to phytoremediation technologies and plots industry’s best practices to share this technology widely, as well as the latest findings and strategies. It serves as a nexus between artificial intelligence, environmental sustainability and bioremediation for advanced students and practising professionals in the field.
Phytoremediation of Domestic Wastewater with the Internet of Things and Machine Learning Techniques
Phytoremediation of Domestic Wastewater with the Internet of Things and Machine Learning Techniques highlights the most recent advances in phytoremediation of wastewater using the latest technologies. It discusses practical applications and experiences utilizing phytoremediation methods for environmental sustainability and the remediation of wastewater. It also examines the various interrelated disciplines relating to phytoremediation technologies and plots industry’s best practices to share this technology widely, as well as the latest findings and strategies. It serves as a nexus between artificial intelligence, environmental sustainability and bioremediation for advanced students and practising professionals in the field.
Sustainability Challenges and Delivering Practical Engineering Solutions
This book highlights the recent findings and advances in science engineering technology and sustainability issues. It aims to discuss, reflect and share experience in addressing the findings in science engineering technology and sustainability. The book aims to report the various interrelated disciplines from different institutions to discuss, reflect and share technology and experience in addressing new findings and strategies. This book presents the proceedings of the Science Engineering Technology and Sustainability International Conference (SETS2021) which was held virtually—as sustainable virtual conferences become the new normal—during December 23–25, 2021. This book is presenting latest research findings, and it is suitable for researchers, postgraduate students, professionals and experts. The book includes interesting and top research in fuzzy modeling and decision-making applications in computer science. Several chapters address trending research about bioremediation and phytoremediation. There are mainly three research findings that cover artificial intelligence, sustainability and new technologies.
Phytoremediation
This book provides in-situ phytoremediation strategies that are particularly well suited for developing nations. Its goal is to promote the use of field-tested phytoremediation methods for removing soil and water pollutants from agricultural, industrial, military, and municipal sources. These strategies include using algae and a variety of aquatic and terrestrial plants. The book subsequently discusses the use of crops and native plants for phytoremediation, and how phytoremediation efforts impact the rhizosphere. After having finished the book, readers will be able to directly adapt the strategies described here for their specific purposes.
Water Quality for Ecosystem and Human Health
This document is intended to provide an overview of the major components of surface and ground water quality and how these relate to ecosystem and human health. Local, regional and global assessments of water quality monitoring data are used to illustrate key features of aquatic environments, and to demonstrate how human activities on the landscape can influence water quality in both positive and negative ways. Clear and concise background knowledge on water quality can serve to support other water assessments.
