Reprint

Sustainable Environmental Science and Water/Wastewater Treatment

Edited by
July 2024
236 pages
  • ISBN978-3-7258-1542-5 (Hardback)
  • ISBN978-3-7258-1541-8 (PDF)
https://doi.org/10.3390/books978-3-7258-1541-8 (registering)

Print copies available soon

This book is a reprint of the Special Issue Sustainable Environmental Science and Water/Wastewater Treatment that was published in

Business & Economics
Environmental & Earth Sciences
Social Sciences, Arts & Humanities
Summary

In a rapidly globalizing world, it is crucial for industries to consider waste minimization and therefore adopt and implement environmentally friendly and sustainable/circular waste/water/wastewater management and treatment strategies. For this purpose, priority should be given to the reuse of the treated process stream, the recovery of beneficial nutrients, and the valorization of waste/wastewater-derived by-products to create a more eco-friendly and sustainable production model. On the other hand, due to the limiting high costs and the various process-related difficulties associated with traditional methods, there is a need to explore cost-effective, manageable, environmentally sound, and profitable treatment methods that will effectively remove/recover excess nutrients/contaminants from industrial waste streams. In this context, it is critical and urgent to deploy proper innovative and techno-sustainable water/wastewater treatment solutions from an environmental standpoint, while fulfilling the expanding industrial demands worldwide.

Format
  • Hardback
License and Copyright
© 2024 by the authors; CC BY-NC-ND license
Keywords
sludge-to-energy; mixed-integer nonlinear programming; wastewater treatment; pyrolysis; optimization; 3D printing; poly(ethylene terephthalate); reactive extrusion; recycled thermoplastic; smart sustainable waste management; multi-criteria decision making; fuzzy AHP; fuzzy TOPSIS; smart city technologies; gamma radiation; UV radiation; cytotoxicity; Reactive Red 45 dye; advanced oxidation process; sustainable environment; CO2 emissions; artificial intelligence; data modelling; biomass ash recycling; vermicomposting; nutrient availability; microbial community; enzyme activity; bacteriophage; wastewater treatment; bioaugmentation; microbial community; sustainable water level management; deep learning models; microcystin; climate change; decentralization; economic feasibility; environmental sustainability; greywater treatment; suspended solids; water conservation; landfills; biocover; fine fraction; microplastics; methane; landfill mining; Pond-in-Pond system; wetlands; nature-based solutions; water reuse; wastewater treatment; environmental impacts; eco-friendly; life cycle analysis (LCA); pipe material; sustainability; water supply system