| 书目名称 | Mathematical Methods for the Assessment and Control of Industrial Emissions | | 编辑 | Yuri N. Skiba,David Parra Guevara | | 视频video | | | 概述 | Introduces the reader to modern mathematical methods for preventing environmental pollution.Discusses various dispersion models and emission control strategies.Presents cutting-edge methods for indust | | 丛书名称 | Mathematical Engineering | | 图书封面 |  | | 描述 | .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 pollut | | 出版日期 | Book 2025 | | 关键词 | Adjoint model; Oil spill estimates; Environmental Pollution; Mathematical Methods; Emission Control; Sani | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-58109-0 | | isbn_softcover | 978-3-031-58111-3 | | isbn_ebook | 978-3-031-58109-0Series ISSN 2192-4732 Series E-ISSN 2192-4740 | | issn_series | 2192-4732 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 16:16:18
