Computational Approach for Air Pollution
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Beschreibung
Air pollution is a global environmental challenge that affects the health and well-being of millions of people worldwide. As the need for effective pollution control and mitigation measures continues to grow, so does the importance of advanced computational techniques in understanding, monitoring, and managing air quality. This contributed volume presents interdisciplinary cases that span the fields of environmental science, computer modeling, and data analysis to provide an overview of state-of-the-art computational methods used in tackling air pollution. This book offers an in-depth exploration of the tools, techniques, and strategies that have revolutionized our ability to study and address air quality issues.
Air pollution is a global environmental challenge that affects the health and well-being of millions of people worldwide. As the need for effective pollution control and mitigation measures continues to grow, so does the importance of advanced computational techniques in understanding, monitoring, and managing air quality. This contributed volume presents interdisciplinary cases that span the fields of environmental science, computer modeling, and data analysis to provide an overview of state-of-the-art computational methods used in tackling air pollution. This book offers an in-depth exploration of the tools, techniques, and strategies that have revolutionized our ability to study and address air quality issues.
Gives an overview of the fundamentals of air pollution mitigation Describes how data can be collected and analyzed in service of air pollution mitigation Presents cases in the use of machine learning algorithms to predict air quality
Autor*in
Akhilesh Kumar Yadav
Themen in »Computational Approach for Air Pollution«
Air pollution Computational modeling Air quality standards Environmental sustianability Pollution control