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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.
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