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.
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Table of Contents
Section 1 Soft computing applications in wastewater management
1 Wastewater-Sources, Toxicity, and Their Consequences to Human Health Rama Rao Karri, Gobinath Ravindran and Mohammad Hadi Dehghani 2 Wastewater Treatment Processes-Techniques, Technologies, Challenges Faced, and Alternative Solutions Bahram Rezai and Ebrahim Allahkarami 3 Review of Soft Computing Techniques for Modeling, Design, and Prediction of Wastewater Removal Performance Priya Banerjee, Rama Rao Karri, Aniruddha Mukhopadhyay and Papita Das 4 Application of Neural Networks in Wastewater Degradation Process for the Prediction of Removal Efficiency of Pollutants Bahram Rezai and Ebrahim Allahkarami 5 Application of Artificial Neural Networks on Water and Wastewater Prediction: A Review Ha Manh Bui, Hiep Nghia Bui, Tuan Minh Le and Rama Rao Karri 6 Application of Bayesian Networks Modeling in Wastewater Management Abbas Roozbahani 7 Pareto Multiobjective Bioinspired Optimization of Neuro-Fuzzy Technique for Predicting Sediment Transport in Sewer Pipe Isa Ebtehaj, Hossein Bonakdari, Hamed Azimi, Bahram Gharabghi, Seyed Hamed Ashraf Talesh, Ali Jamali and Rama Rao Karri 8 Soft Computing Optimization Algorithms and Their Application in Parameter Estimation of a Rigorous Adsorption Kinetics Model Kannan Aravamudan 9 Sustainable Management of Wastewater Treatment Plants Using Artificial Intelligence Techniques Mahmoud Nasr, Karam Mohamed, Michael Attia and Mona G. Ibrahim 10 Modeling Wastewater Treatment Process: A Genetic Programming Approach C Sivapragasam, Naresh K Sharma and S Vanitha
Section 2 Soft computing applications in solid waste management
11 Solid Waste-Sources, Toxicity, and Their Consequences to Human Health Mohammad Hadi Dehghani, Ghasem Ali Omrani and Rama Rao Karri 12 Solid Waste Treatment: Technological Advancements and Challenges Vinay Pratap, Sakina Bombaywala, Ashootosh Mandpe and Saif Ullah Khan 13 Solid Waste Treatment Processes and Remedial Solution in the Developing Countries O.O. Ayeleru and P.A. Olubambi 14 Soft Computing Applications in Municipal Solid Waste Forecast: A Short Review O.O. Ayeleru, L.I. Fajimi, B.O. Oboirien and P.A. Olubambi 15 Dynamic Multi-objective Optimization of Integrated Waste Management Using Genetic Algorithms Mohamed Abdallah, Zakiya Rahmat-Ullah and Abdulrahman Metawa 16 Prediction of Effluent Chemical Oxygen Demand and Suspended Solids From a Domestic Wastewater Treatment Plant Using SVM and ANN Sakaa Bachir, Boudibi Samir, Chaffai Hicham and Hani Azzedine 17 Artificial Intelligence Models for Forecasting of Municipal Solid Waste Generation Rahul Mishra, Ekta Singh, Aman Kumar and Sunil Kumar 18 A Design Framework for an Integrated End-of-Life Vehicle Waste Management System in Malaysia Norazli Othman, Atikah Razali, Shreeshivadasan Chelliapan, Roslina Mohammad and Hesam Kamyab 19 Effect of Normalization Protocol on Pulping Process Selection Using TOPSIS Multicriteria Decision-Making Method-A Case Study of Palm Oil Empty Fruit Bunches Kumar Anupam, Pankaj Kumar Goley and Anil Yadav 20 Long-Term Solid Waste Quantity Prediction Using AI-Based Models, Considering Climate Change Impact-A Case Study Aida H. Baghanam, Vahid Nourani and Koorosh Shakoori
Section 3 Application of soft computing techniques for process modeling, optimisation and control of waste water and solid waste
21 Process Optimization and Modeling of Hydraulic Fracturing Process Wastewater Treatment Using Aerobic Mixed Microbial Reactor via Response Surface Methodology Thirugnanasambandham Karchiyappan and Rama Rao Karri 22 Modeling Undefined Complexities of Wastewater Treatment Processes With Artificial Neural Network M. Mansoor Ahammed and Mahesh Gadekar 23 Optimization of Process Conditions in Wastewater Degradation Process Saeed Shojaei and Siroos Shojaei 24 System Control and Optimization in Wastewater Treatment: A Particle Swarm Optimization (PSO) Approach Xudong Ye, Bing Chen, Rune Storesund and Baiyu Zhang 25 Fuzzy Logic Control of Active Sludge-Based Wastewater Treatment Plants Abdul Gaffar Sheik, S. Murali Mohan and A. Seshagiri Rao 26 Development of Smart AnAmmOx System and Its Agile Operation and Decision Support for Pilot-Scale WWTP Alam Nawaz, Amarpreet Singh Arora, Choa Mun Yun, Jung June Lee and Moonyong Lee 27 Prediction of Ammonium Removal by Biochar Produced From Agricultural Wastes Using Artificial Neural Networks: Prospects and Bottlenecks Ngoc-Thuy Vu and Khac-Uan Do 28 Multiscenario Approach for Capturing Uncertainties in Energy-Integrated Autothermal Thermophilic Aerobic Digestion Systems Elisaveta Kirilova, Rayka Vladova, and Natasha Vaklieva-Bancheva