This book delves onto modern mathematical methods aimed at mitigating environmental pollution risks caused by industrial activities. Showing the alarming global issue of industrial pollution, the text explores the complexities of emission control strategies and dispersion models. Through a systematic approach, readers will gain insights into the utilization of mathematical models to assess pollutant dispersion, regulate emissions, and pinpoint sources of excessive pollution. With a focus on averting health risks and ensuring compliance with sanitary standards, the book elucidates the application of control strategies to manage pollutant concentrations effectively. From differential equations to optimization theory, the narrative navigates through interdisciplinary concepts, offering a wealth of knowledge for researchers, professionals, and students alike. Chapters brim with illustrative examples, shedding light on air and marine pollution control, while emphasizing the versatility of the discussed strategies. Whether tackling two-dimensional or three-dimensional dispersion models, the book equips readers with essential tools to confront the pressing challenges of industrial pollution in both developed and developing regions.
Chapter
1. Introduction.
Chapter
2. Dispersion problems of different
degrees of complexity.- Chapter
3. Assessment of pollutant
concentrations.- Chapter
4. Examples of application of dual
estimates.- Chapter
5. Emission control.
David Parra-Guevara received his Doctor (Ph.D.) degree from the National Autonomous University of Mexico, Mexico, in 2001. In 2002, he held a postdoctoral position for one year as a visiting researcher at the Mexican Petroleum Institute. He is currently a senior researcher (Investigador Titular) at the Institute of Atmospheric Sciences and Climate Change of the National Autonomous University of Mexico. His research interests include air and water pollution control models, direct and inverse pollution problems, and numerical methods.
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