Overview

Air pollution is the contamination of the atmosphere by harmful substances, including gases, particulates, and biological molecules, which pose health risks to humans and the environment. These pollutants include suspended particulate matter, microscopic pathogens, nitrogen oxides, sulfur dioxide, and volatile organic compounds. Air pollution modeling is a crucial tool in understanding and managing the complex dynamics of air quality. Utilizing mathematical and computational techniques, it simulates the dispersion, transformation, and deposition of pollutants in the atmosphere. By integrating data on emissions, meteorology, and geography, these models provide insights into pollutant concentrations, sources, and the effectiveness of mitigation strategies. They aid policy makers in making informed decisions to protect public health and the environment. Advanced models incorporate factors like chemical reactions, atmospheric turbulence, and topographical features, enhancing their accuracy and utility. Continuous refinement and validation of these models ensure their reliability in predicting air quality trends and assessing the impact of human activities on the atmosphere. The book presents research and studies performed by experts across the globe. It elucidates new approaches to air pollution modeling in a multidisciplinary manner. Scientists and students actively engaged in this field will find this book full of crucial and unexplored concepts.

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