Modeling of the Whole Lifecycle Dioxins for Municipal Solid Waste...
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Modeling of the Whole Lifecycle Dioxins for Municipal Solid Waste Incineration: Numerical Simulation and AI-Driven Method https://WebToolTip.com English | 2026 | ISBN: 1041061838 | 487 pages | True PDF,EPUB | 151.56 MB This book by leading experts consolidates information on the numerical simulation and AI-driven modeling of multiple points of dioxin concentration in the municipal solid waste incineration (MSWI) process to provide readers with the skills to develop safer and more efficient waste
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Modeling of the Whole Lifecycle Dioxins for Municipal Solid Waste Incineration: Numerical Simulation and AI-Driven Method

https://WebToolTip.com
English | 2026 | ISBN: 1041061838 | 487 pages | True PDF,EPUB | 151.56 MB
This book by leading experts consolidates information on the numerical simulation and AI-driven modeling of multiple points of dioxin concentration in the municipal solid waste incineration (MSWI) process to provide readers with the skills to develop safer and more efficient waste management practices.
The authors of Modeling of the Whole Lifecycle Dioxins for Municipal Solid Waste Incineration: Numerical Simulation and AI-Driven Method explore the complex interplay between municipal solid waste (MSW) management and environmental health, specifically focusing on the generation and production of dioxins during incineration. This comprehensive work amalgamates theoretical insights and practical applications, leveraging numerical simulations and AI techniques to offer innovative modeling solutions. It addresses the critical problem of dioxin generation and emissions from MSWI through a structured approach integrating exhaustive research data, case studies, and advanced computational methodologies, providing an integrated model accounting for various operational parameters and their effects on emissions. It both discusses the existing theoretical frameworks and empirical studies and applies advanced modeling techniques to yield practical insights. Readers will find clear representations of simulation processes alongside discussions on optimization and control mechanisms. This facilitates an understanding of the underlying mechanisms of dioxin formation, enabling targeted solutions that are informed by both experimental results and advanced simulation techniques. This ultimately furnishes practitioners with robust tools to better understand and mitigate the risks associated with dioxin emissions so they can contribute to safer and more efficient waste management practices.