Soft Computing Techniques In Solid Waste And Wastewater Management
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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. 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 help readers understand various techniques that can be effectively used to achieve the highest performance. In-depth case studies along with discussions on applications of various soft-computing techniques help readers control waste processes and come up with short-term, mid-term and long-term strategies. 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 book details the diverse approaches and techniques in these fields, providing a single source of information researchers and industry practitioners. It is ideal for academics, researchers and engineers in waste management, environmental science, environmental engineering and computing, with relation to environmental science and waste management. - Provides a comprehensive reference on the implementation of soft computing techniques in waste management, drawing together current research and future implications - Includes detailed algorithms used, enabling authors to understand and appreciate potential applications - Presents relevant case studies in solid and wastewater management that show real-world applications of discussed technologies
Synergy of Bio-Chemical Processes for Photocatalytic and Photoelectrochemical Wastewater Treatment
The concept of photoelectrochemistry applied to microbial fuel cells could be the future of sustainable wastewater treatment and for hydrogen recovery as a valuable energy source. With the increase of recalcitrant organic pollutants in industrial wastewater, the need for a sustainable bio-electrochemical process has become pressing in order to ensure that treatment processes are coupled with some beneficiation advantages. Microbial fuel cells combine wastewater treatment and biological power generation. However, the resistance of these organic pollutants to biological degradation requires further adjustment of the system to improve sustainability through maximization of energy production. Solar energy conversion using photocatalysis has drawn huge attention for its potential to provide renewable and sustainable energy. Furthermore, it might be the solution to serious environmental and energy-related problems. It has been widely understood for several years that the top global issues today are concerned with securing a clean supply of water and ensuring a reasonable price for clean energy. Researchers are studying advanced materials and processes to produce clean, renewable hydrogen fuel through photocatalytic and photoelectrocatalytic water splitting, as well as to reduce carbon dioxide from the air into fuels through photocatalysis. Limited progress is occurring in these areas. The purpose of this book is to comprehensively cover the evolvement in the conceptualization and application of photocatalytic fuel cells, as well as make a critical assessment of the contribution in the field of sustainable wastewater treatment and renewable energy production. This book contains nine specialized chapters that provide comprehensive coverage of the design of photocatalytic fuel cells and their applications, including environmental remediation, chemical synthesis, green energy generation, model simulation for scaling up processes and implementation, and most importantly maximization of hydrogen evolution, recovery, and applications. Audience A wide audience of academics, industrial researchers, and graduate students working in heterogeneous photocatalysis, fuel cells, sustainable chemistry, nanotechnology, chemical engineering, environmental protection, and surfaces and interfaces, will find this book useful. The book is also important for professionals, namely environmental managers, water treatment plants managers and operators, water authorities, government regulatory bodies officers, and environmentalists.
Strategic Management of Wastewater from Intensive Rural Industries
Author: Nurudeen Abiola Oladoja
language: en
Publisher: Springer Nature
Release Date: 2025-08-22
This book provides insight into the environmental and ecological impacts of the operations of intensive rural industries and how these undesirable impacts can be effectively managed. In the developing economies, the different human empowerment and poverty alleviation schemes have produced myriads of intensive rural industries that littered States in these economies. These industries are often characterized by their small scale, outmoded technology, obsolete equipment, poor management and large water consumption. Since their operations usually consume large volume of fresh water, high magnitude of untreated wastewater is equally discharged. The huge consumption of freshwater puts a lot of stress on freshwater resource available for human use, and the discharge of contaminated wastewater from these industries disrupts the ecological balance. It has been reported that untreated industrial waste constitutes about two-thirds of the total waste discharge into water bodies, and the largest chunk of this is derived from rural enterprises. Therefore, the environmental cost of rural industrialization is enormous and needs to be examined. The evaluation of the quality characteristics, the socioeconomic impacts and the law guiding the generation and the discharge of the wastewater from specific rural industries are enunciated. The conventional practice and the trends in the effective management of specific wastewater samples are also discussed.