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Ozonation and Biodegradation in Environmental Engineering
Dynamic Neural Network Approach
Presents one of the possible methods to resolve the problem of water, air and soil contaminants elimination by ozonation and biodegradation, using a Dynamic Neural Network Approach for the reconstruction of the dynamics of the contaminants destruction, which cannot be measured on-line
Tatyana Poznyak (Author), Jorge Isaac Chairez Oria (Author), Alexander S. Poznyak (Author)
9780128128473
Paperback, published 11 November 2018
546 pages
23.4 x 19 x 3.4 cm, 1.13 kg
Approx.510 pages
I Chemical Processes in Environmental Engineering and Dynamic Neural Networks1. Ozonation as main method for organic contaminants degradation in three different phases: liquid, solid and gaseous2. Modelling of Ozonation Processes 3. Background on Dynamic Neural Networks 4. Motivation of Differential Neural Networks Application to Environment Problems5. Neural observer application for phenols conventional ozonation in water to its simulation and kinetic parameters identification at different pHs II Ozonation as a Principal Treatment Method for Organic Contaminants Elimination in Liquid Phase6. Automatic control of ozonation systems7. Catalytic ozonation for Recalcitrant Contaminants Removal 1018. Photocatalytic Ozonation for Complex Organics9. Physicochemical and Ozonation Mixed TreatmentMethods10. Continuous Ozonation Treatment III Remediation of Contaminated Soil 11. Conventional Ozonation and Mass Transfer Effects in Solid Phase IV Purification of Contaminated Air12. Ozonation of Gaseous Samples V Sequential Treatment by Biodegradation and Ozonation13. Biodegradation
Subject Areas: Industrial chemistry & manufacturing technologies [TD], Biotechnology [TCB]
