Solid Waste Management

Wiley-Scrivener, 2026

Tackle the global challenge of environmental sustainability with this essential book, which provides a critical review of innovative and sustainable solid waste management strategies by leveraging advanced technologies like AI and geographic information system-based predictive models. Solid waste products are continuously generated due to rapid industrialization activities and population growth. These solid waste products severely affect the environment and societal health. An efficient management system for solid waste products requires appropriate transportation, infrastructure, and disposal facilities. Recently, conventional disposal techniques have encountered many challenges, including inadequate landfill disposal, management of hazardous solid waste, and operational inefficiencies. Advanced technologies based on predictive models of artificial intelligence and geographic information systems (GIS) are being used to address these concerns. Remote sensing GIS systems efficiently predict the nature and trends of waste generation areas using data captured by aerial photography, videography, and integrated sensors. Artificial intelligence-based methodologies are computationally designed to mimic the human mind and are successfully employed for the development of strategies for the generation, segregation, storage, and treatment of solid waste. This book explores recent trends, innovations, and recycling methods for a sustainable approach to managing solid waste products and provides a critical review of various approaches, process engineering economics, and sustainable valorization techniques for biological waste products, making it an invaluable resource for beginners and seasoned practitioners.

• Curatore: Pooja Agarwal, Priyanka Singh, V. Vivekanand
• Anno edizione: 2026
• Editore: Wiley-Scrivener
• Formato: EPUB3 con Adobe DRM
• Lingua: Inglese
• Compatibilità: Tutti i dispositivi (eccetto Kindle)
• Layout: Reflowable
• EAN: 9781394267941