The emergence of a plethora of water contaminants as a result of industrialization has introduced complexity to water treatment processes. Such complexity may not be easily resolved using deterministic approaches. Artificial intelligence (AI) has found relevance and applications in almost all sectors and academic disciplines, including water treatment and management. AI provides dependable solutions in the areas of optimization, suspect screening or forensics, classification, regression, and forecasting, all of which are relevant for water research and management. Artificial Intelligence Applications in Water Treatment and Water Resource Management explores the different AI techniques and their applications in wastewater treatment and water management. The book also considers the benefits, challenges, and opportunities for future research. Covering key topics such as water wastage, irrigation, and energy consumption, this premier reference source is ideal for computer scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.

A major issue that has remained prevalent in today's modern world has been the presence of chemicals within water sources that the public uses for drinking. The associated health risks that accompany these contaminants are unknown but have sparked serious concern and emotive arguments among the global community. Empirical research is a necessity to further understand these contaminants and the effects they have on the environment. Effects of Emerging Chemical Contaminants on Water Resources and Environmental Health is a pivotal reference source that provides vital research on current issues regarding the occurrence, toxicology, and abatement of emerging contaminants in water sources. While highlighting topics such as remediation techniques, pollution minimization, and technological developments, this publication explores sample preparation and detection of these chemical contaminants as well as policy and legislative issues related to public health. This book is ideally designed for environmental engineers, biologists, health scientists, researchers, students, and professors seeking further research on the latest developments in the detection of water contaminants.

The emergence of a plethora of water contaminants as a result of industrialization has introduced complexity to water treatment processes. Such complexity may not be easily resolved using deterministic approaches. Artificial intelligence (AI) has found relevance and applications in almost all sectors and academic disciplines, including water treatment and management. AI provides dependable solutions in the areas of optimization, suspect screening or forensics, classification, regression, and forecasting, all of which are relevant for water research and management. Artificial Intelligence Applications in Water Treatment and Water Resource Management explores the different AI techniques and their applications in wastewater treatment and water management. The book also considers the benefits, challenges, and opportunities for future research. Covering key topics such as water wastage, irrigation, and energy consumption, this premier reference source is ideal for computer scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.

A major issue that has remained prevalent in today's modern world has been the presence of chemicals within water sources that the public uses for drinking. The associated health risks that accompany these contaminants are unknown but have sparked serious concern and emotive arguments among the global community. Empirical research is a necessity to further understand these contaminants and the effects they have on the environment. Effects of Emerging Chemical Contaminants on Water Resources and Environmental Health is a pivotal reference source that provides vital research on current issues regarding the occurrence, toxicology, and abatement of emerging contaminants in water sources. While highlighting topics such as remediation techniques, pollution minimization, and technological developments, this publication explores sample preparation and detection of these chemical contaminants as well as policy and legislative issues related to public health. This book is ideally designed for environmental engineers, biologists, health scientists, researchers, students, and professors seeking further research on the latest developments in the detection of water contaminants.