Autorentext

Priyanka Singh, PhD is an Associate Professor at the Institute of Allied Medical Science and Technology at the National Institute of Medical Sciences University. She has published 31 research articles in peer-reviewed journals and ten book chapters in international book publications, and filed patent with the Government of India. She is actively engaged in research related to nanotechnology, bioprocess technology, and enzyme engineering.

Pooja Agarwal, PhD is a Professor in the Department of Chemistry in the School of Basic and Applied Sciences at Galgotias University with more than 13 years of teaching experience. She has more than 18 research publications in reputed journals and book chapters and one edited book to her credit. Her research focuses on material science, biomaterials, nanomaterials, and composite materials.

V. Vivekanand, PhD is an Assistant Professor and the Head of the Centre for Energy and Environment at the Malaviya National Institute of Technology. He has published more than 90 international research articles in journals of high repute and more than 30 articles in international conferences, and authored more than seven book chapters. He has a keen research interest in biomass pretreatment, bioprocessing, and its conversion for bioenergy applications.

Klappentext

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.