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Soft Computing Techniques in Solid Waste and Wastewater Management

  • Book

  • July 2021
  • Elsevier Science and Technology
  • ID: 5315213

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.

Please Note: This is an On Demand product, delivery may take up to 11 working days after payment has been received.

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


Rama Rao Karri Senior Assistant Professor, Universiti Teknologi Brunei, Brunei Darussalam. Dr. Rama Rao Karri is a Professor (Sr. Asst) in the Faculty of Engineering, Universiti Teknologi Brunei, Brunei Darussalam. He has a Ph.D. from the Indian Institute of Technology (IIT) Delhi, Master's from IIT Kanpur in Chemical Engineering. He has worked as a Post-Doctoral research fellow at NUS, Singapore for about six years and has over 18 years of working experience in Academics, Industry, and Research. He has experience of working in multidisciplinary fields and has expertise in various evolutionary optimization techniques and process modelling. He has published 150+ research articles in reputed journals, book chapters, and conference proceedings with a combined Impact factor of 611.43 and has an h-index of 28 (Scopus - citations: 2600+) and 27 (Google Scholar -citations: 3000+). He is an editorial board member in 10 renowned journals and a peer-review member for more than 93 reputed journals and has peer-reviewed more than 410 articles. Also, he handled 112 articles as an editor. He also has the distinction of being listed in the top 2% of the world's most influential scientists in the area of environmental sciences and chemicals for the Years 2021 & 2022. The List of the Top 2% of Scientists in the World compiled and published by Stanford University is based on their international scientific publications, the number of scientific citations for research, and participation in the review and editing of scientific research. He held a position as Editor-in-Chief (2019-2021) in the International Journal of Chemoinformatics and Chemical Engineering, IGI Global, USA. He is also an Associate editor in Scientific Reports, Springer Nature & International Journal of Energy and Water Resources (IJEWR), Springer Inc. He is also a Managing Guest editor for Spl. Issues: 1) "Magnetic nanocomposites and emerging applications", in Journal of Environmental Chemical Engineering (IF: 5.909), 2) "Novel CoronaVirus (COVID-19) in Environmental Engineering Perspective", in Journal of Environmental Science and Pollution Research (IF: 4.223), Springer. 3) "Nanocomposites for the Sustainable Environment�, in Applied Sciences Journal (IF: 2.679), MDPI. He along with his mentor, Prof. Venkateswarlu is authoring an Elsevier book, "Optimal state estimation for process monitoring, diagnosis, and control�. He is also co-editor and managing editor for 8 Elsevier, 1 Springer and 1 CRC edited books. Elsevier: 1) Sustainable Nanotechnology for Environmental Remediation, 2) Soft computing techniques in solid waste and wastewater management, 3) Green technologies for the defluoridation of water, 4) Environmental and health management of novel coronavirus disease (COVID-19), 5) Pesticides remediation technologies from water and wastewater: Health effects and environmental remediation, 6) Hybrid Nanomaterials for Sustainable Applications, 7) Sustainable materials for sensing and remediation of noxious pollutants. Springer: 1) Industrial wastewater treatment using emerging technologies for sustainability. CRC: 1) Recent Trends in Advanced Oxidation Processes (AOPs) for micro-pollutant removal. R Gobinath Department of Civil Engineering, S R Engineering College, India. Prof. Dr. R. Gobinath is a Professor and Head of Department of Civil Engineering, S R Engineering College, India. He is a researcher in the field of civil engineering primarily focusing on issues related to environmental engineering including sustainability and environmental geotechnology. He has published over 100 research papers, has been an editor of several books and is reviewer of several journals. He is presently editorial board member of several journals in environmental sciences. Mohammad Hadi Dehghani Professor, Tehran University of Medical Sciences (TUMS), School of Public Health, Department of Environmental Health Engineering, Tehran, Iran. Prof. Dr. Mohammad Hadi Dehghani is a Full Professor at the Tehran University of Medical Sciences (TUMS), School of Public Health, Department of Environmental Health Engineering, Tehran, Islamic Republic of Iran. His scientific research interest includes environmental science. He is an editorial board member, guest editor, and reviewer in many internal and international journals and is a member of several international science committees around the world. He has authored or edited 16 books and more than 230 full papers published in peer-reviewed journals.