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      Soft Computing Techniques in Solid Waste and Wastewater Management

      AvRama Rao Karri,R Gobinath

      Häftad, Engelska, 2021

      1 809 kr

      Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

      Beskrivning

      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

      Produktinformation

      • Utgivningsdatum:2021-07-29
      • Mått:216 x 276 x 27 mm
      • Vikt:1 400 g
      • Format:Häftad
      • Språk:Engelska
      • Antal sidor:522
      • Förlag:Elsevier Science
      • ISBN:9780128244630

      Utforska kategorier

      • Miljövetenskap och miljöpolitik inom Naturvetenskap och teknik
      • Miljöteknik inom Naturvetenskap och teknik

      Mer om författaren

      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. 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. 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 interests include environmental science. He is the author of various research studies published in national and international journals and conference proceedings and head of several research projects at the TUMS. He has authored 20 books, 26 book chapters and more than 270 full papers published in peer-reviewed journals. He is an editorial board member, guest editor, and reviewer in many internal and international journals and a member of several international science committees worldwide. 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. He is a supervisor and advisor for many PhD and MSc theses at the TUMS. He is currently also a member of the Iranian Association of Environmental Health (IAEH) and member of the Institute for Environmental Research (IER) at the TUMS. He is an editor for 14 edited books (English): (1) Soft Computing Techniques in Solid Waste and Wastewater Management, (2) Environmental and Health Management of Novel Coronavirus Disease (COVID-19), (3) Green Technologies for the Defluoridation of Water, (4) Pesticide Remediation Technologies From Water and Wastewater, (5) COVID-19 and Sustainable Development Goals, (6) Industrial Wastewater Treatment: Emerging Technologies for Sustainability, (7) Sustainable Materials for Sensing and Remediation of Noxious Pollutants, (8) Wastewater-Based Epidemiology for the Assessment of Human Exposure to Environmental Pollutants, (9) Water Treatment Using Engineered Carbon Nanotubes, (10) Water, the Environment and the Sustainable Development Goals, (11) Sustainable Remediation Technologies for Emerging Pollutants in Aqueous Environment, (12) Health and Environmental Effects of Ambient Air Pollution, (13) Health Effects of Indoor Air Pollution, (14) Diseases Attributed to Air Pollution.

      Innehållsförteckning

      • Section 1 Soft computing applications in wastewater management1 Wastewater—Sources, Toxicity, and Their Consequences to Human HealthRama Rao Karri, Gobinath Ravindran and Mohammad Hadi Dehghani2 Wastewater Treatment Processes—Techniques, Technologies, Challenges Faced, and Alternative SolutionsBahram Rezai and Ebrahim Allahkarami3 Review of Soft Computing Techniques for Modeling, Design, and Prediction of Wastewater Removal PerformancePriya Banerjee, Rama Rao Karri, Aniruddha Mukhopadhyay and Papita Das4 Application of Neural Networks in Wastewater Degradation Process for the Prediction of Removal Efficiency of PollutantsBahram Rezai and Ebrahim Allahkarami5 Application of Artificial Neural Networks on Water and Wastewater Prediction: A ReviewHa Manh Bui, Hiep Nghia Bui, Tuan Minh Le and Rama Rao Karri6 Application of Bayesian Networks Modeling in Wastewater ManagementAbbas Roozbahani7 Pareto Multiobjective Bioinspired Optimization of Neuro-Fuzzy Technique for Predicting Sediment Transport in Sewer PipeIsa Ebtehaj, Hossein Bonakdari, Hamed Azimi, Bahram Gharabghi, Seyed Hamed Ashraf Talesh, Ali Jamali and Rama Rao Karri8 Soft Computing Optimization Algorithms and Their Application in Parameter Estimation of a Rigorous Adsorption Kinetics ModelKannan Aravamudan9 Sustainable Management of Wastewater Treatment Plants Using Artificial Intelligence TechniquesMahmoud Nasr, Karam Mohamed, Michael Attia and Mona G. Ibrahim10 Modeling Wastewater Treatment Process: A Genetic Programming ApproachC Sivapragasam, Naresh K Sharma and S VanithaSection 2 Soft computing applications in solid waste management11 Solid Waste—Sources, Toxicity, and Their Consequences to Human HealthMohammad Hadi Dehghani, Ghasem Ali Omrani and Rama Rao Karri12 Solid Waste Treatment: Technological Advancements and ChallengesVinay Pratap, Sakina Bombaywala, Ashootosh Mandpe and Saif Ullah Khan13 Solid Waste Treatment Processes and Remedial Solution in the Developing CountriesO.O. Ayeleru and P.A. Olubambi14 Soft Computing Applications in Municipal Solid Waste Forecast: A Short ReviewO.O. Ayeleru, L.I. Fajimi, B.O. Oboirien and P.A. Olubambi15 Dynamic Multi-objective Optimization of Integrated Waste Management Using Genetic AlgorithmsMohamed Abdallah, Zakiya Rahmat-Ullah and Abdulrahman Metawa16 Prediction of Effluent Chemical Oxygen Demand and Suspended Solids From a Domestic Wastewater Treatment Plant Using SVM and ANNSakaa Bachir, Boudibi Samir, Chaffai Hicham and Hani Azzedine17 Artificial Intelligence Models for Forecasting of Municipal Solid Waste GenerationRahul Mishra, Ekta Singh, Aman Kumar and Sunil Kumar18 A Design Framework for an Integrated End-of-Life Vehicle Waste Management System in MalaysiaNorazli Othman, Atikah Razali, Shreeshivadasan Chelliapan, Roslina Mohammad and Hesam Kamyab19 Effect of Normalization Protocol on Pulping Process Selection Using TOPSIS Multicriteria Decision-Making Method—A Case Study of Palm Oil Empty Fruit BunchesKumar Anupam, Pankaj Kumar Goley and Anil Yadav20 Long-Term Solid Waste Quantity Prediction Using AI-Based Models, Considering Climate Change Impact—A Case StudyAida H. Baghanam, Vahid Nourani and Koorosh ShakooriSection 3 Application of soft computing techniques for process modeling, optimisation and control of waste water and solid waste21 Process Optimization and Modeling of Hydraulic Fracturing Process Wastewater Treatment Using Aerobic Mixed Microbial Reactor via Response Surface MethodologyThirugnanasambandham Karchiyappan and Rama Rao Karri22 Modeling Undefined Complexities of Wastewater Treatment Processes With Artificial Neural NetworkM. Mansoor Ahammed and Mahesh Gadekar23 Optimization of Process Conditions in Wastewater Degradation ProcessSaeed Shojaei and Siroos Shojaei24 System Control and Optimization in Wastewater Treatment: A Particle Swarm Optimization (PSO) ApproachXudong Ye, Bing Chen, Rune Storesund and Baiyu Zhang25 Fuzzy Logic Control of Active Sludge–Based Wastewater Treatment PlantsAbdul Gaffar Sheik, S. Murali Mohan and A. Seshagiri Rao26 Development of Smart AnAmmOx System and Its Agile Operation and Decision Support for Pilot-Scale WWTPAlam Nawaz, Amarpreet Singh Arora, Choa Mun Yun, Jung June Lee and Moonyong Lee27 Prediction of Ammonium Removal by Biochar Produced From Agricultural Wastes Using Artificial Neural Networks: Prospects and BottlenecksNgoc-Thuy Vu and Khac-Uan Do28 Multiscenario Approach for Capturing Uncertainties in Energy-Integrated Autothermal Thermophilic Aerobic Digestion SystemsElisaveta Kirilova, Rayka Vladova, and Natasha Vaklieva-Bancheva
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