Soft Computing Techniques in Solid Waste and Wastewater Management

Soft Computing Techniques in Solid Waste and Wastewater Management is a thorough guide to computational solutions for researchers working in solid waste and wastewater management operations. Waste management is an increasingly important field due to rapidly increasing levels of waste production around the world. Numerous potential solutions for reducing waste production are underway, including applications of machine learning and computational studies on waste management processes. This proposed edited book details the diverse approaches and techniques in these fields, and provides a single source of information researchers and industry practitioners. This book covers in-depth analysis of process variables, their effects on overall efficiencies, and optimal conditions and procedures to improve performance using soft computing techniques. These topics coupled with the systematic analyses described will be invaluable in understanding various techniques that can be effectively used to achieve highest performance. In-depth case studies along with discussions on applications of various soft-computing techniques will help to intelligently control waste processes and come up with short-term, mid-term and long-term strategies for minimizing solid waste generation, improve pollutant removal efficiency and recycle solid and liquid waste. Recent developments and efficient solutions to complex problems related to this field across the globe are also elucidated through the case studies.

Soft Computing Techniques in Solid Waste and Wastewater Management is a comprehensive source of information on this field for academics, researchers and engineers in waste management, environmental science, environmental engineering and computing with relation to environmental science and waste management.