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Intelligent Environmental Data Monitoring for Pollution Management
Provides novel intelligent data-monitoring techniques for environmental pollution management
Siddhartha Bhattacharyya (Edited by), Naba Kumar Mondal (Edited by), Jan Platos (Edited by), Vaclav Snasel (Edited by), Pavel Kromer (Edited by)
9780128196717, Elsevier Science
Paperback, published 23 October 2020
344 pages
23.4 x 19 x 2.2 cm, 0.77 kg
Intelligent Environmental Data Monitoring for Pollution Management discusses evolving novel intelligent algorithms and their applications in the area of environmental data-centric systems guided by batch process-oriented data. Thus, the book ushers in a new era as far as environmental pollution management is concerned. It reviews the fundamental concepts of gathering, processing and analyzing data from batch processes, followed by a review of intelligent tools and techniques which can be used in this direction. In addition, it discusses novel intelligent algorithms for effective environmental pollution data management that are on par with standards laid down by the World Health Organization.
1. Batch Adsorption Process in Water Treatment 2. Removal of heavy metals from industrial effluents by using Biochar 3. Nanoparticles: A new tool for control of mosquito larvae 4. Biosorption driven green technology for the treatment of heavy metal (loids) contaminated effluents 5. A Comprehensive Review of Glyphosate Adsorption with Factors Influencing Mechanism: Kinetics, Isotherms, Thermodynamics Study 6. Dyes and their removal technologies from wastewater 7. An Intelligent Estimation Model for Water Quality Parameters Assesment at Periyakulam Lake, South India 8. Recent Trends in Air Quality Prediction: An Artificial Intelligence Perspective 9. Optimisation of absorption process for exclusion of Carbaryl from aqueous environment using natural adsorbents 10. Artificial Neural Network: An Alternative Approach for Assessment of Biochemical Oxygen Demand of the Damodar River, West Bengal, India 11. Co-design to improve IAQ awareness in classrooms 12. Data Perspective on Environmental Mobile Crowd Sensing 13. A Survey of Adsorption Process Parameter Optimization related to Degradation of Environmental Pollutants
Subject Areas: Pollution control [TQK], Environmental monitoring [TQD], Biotechnology [TCB], The environment [RN]
