£100.06

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£100 today · all-time low £99 (Aug 2026) · usually £100

Springer Mathematical Methods for Industrial Emissions Assessment - Engineering

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£100.18 £99.36 £99.54 £99.72 £99.90 £100.08 £100.26 25 July 2026 11 August 2026 29 August 2026 15 September 2026 03 October 2026
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Description

Mathematical Methods for the Assessment and Control of Industrial Emissions is a comprehensive resource published by Springer that addresses the technical foundations of emissions management in industrial settings. This Mathematical Engineering reference provides engineers, environmental professionals, and researchers with rigorous mathematical frameworks for quantifying, modelling, and controlling industrial pollutant releases. The book combines theoretical principles with practical applications, enabling readers to develop effective strategies for reducing environmental impact and ensuring regulatory compliance. Whether you work in manufacturing, chemical processing, energy production, or environmental consultancy, this technical reference offers the analytical tools needed to tackle complex emissions problems systematically. The publication serves as both an academic text for advanced study and a professional handbook for practitioners seeking to implement data-driven emissions control solutions in their operations.

Key Features

Springer publication provides peer-reviewed mathematical engineering content on industrial emissions assessment and control strategies.

Comprehensive coverage of mathematical methods applicable to quantifying and modelling pollutant releases from industrial sources.

Reference material suitable for environmental engineers, researchers, and industrial professionals managing emissions compliance.

Technical frameworks for developing control strategies based on rigorous mathematical analysis of industrial emission data.

Academic and professional resource bridging theory and practical applications in environmental and industrial engineering.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
17 September 2024
Listed Since
12 March 2024

Barcode

No barcode data available

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