Ozonation and Biodegradation in Environmental Engineering
Dynamic Neural Network Approach

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Language: English

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546 p. · 19x23.3 cm · Paperback

Ozonation and Biodegradation in Environmental Engineering: Dynamic Neural Network Approach gives a unified point-of-view on the application of DNN to estimate and control the application of ozonation and biodegradation in chemical and environmental engineering. This book deals with modelling and control design of chemical processes oriented to environmental and chemical engineering problems. Elimination in liquid, solid and gaseous phases are all covered, along with processes of laboratory scale that are evaluated with software sensors and controllers based on DNN technique, including the removal of contaminants in residual water, remediation of contaminated soil, purification of contaminated air, and more.

The book also explores combined treatments using both ozonation and biodegradation to test the sensor and controller.

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

Academics, engineers and graduate students in the fields of chemical or environmental engineering who have a focus on ozonation or biodegradation. Plant Engineers.

Tatyana Poznyak is with the Section of Graduate Studies and Research in the National Polytechnic Institute of Mexico-ESIQIE. She has been a regular member of the Mexican Academy of Sciences since 2004 and Member of National System of Researchers, SNI-II, since 1994. She is also a member of the "International Ozone Association" (IOA-PAG) - since 1998 and Active Member of the Chemical Society of Mexico - from 1997 to date. Her current researching interests are in Environmental Chemical Engineering and Ozone application in biochemistry and medicine. She directed 12 PhD’s as well as 24 Master degree theses. She has published 76 articles in journals and 7 chapters in referred books. She has presented 160 papers in international conferences and 63 in national congresses. She is the author of 8 international patents.
Dr. Chairez is a Biomedical Engineer from the National Polytechnic Institute and a Doctor of Science with a Specialty in Automatic Control from the Center for Research and Advanced Studies of the IPN. He has experience in the production of technological equipment for medical devices, the development of medical robotic systems and automation technology solutions. The current central themes of his research revolve around: a) The development of new automatic control methodologies; b) The creation of new artificial intelligence methods applied to bioprocesses, biomedical engineering and microsystems and c) The implementation of instrumentation systems installed as central parts of new medical devices. He has supervised 19 doctoral theses, 33 master's theses and 12 bachelor's theses. He has published 190 scientific articles in peer-reviewed and indexed journals.
Alexander Poznyak is Professor and Department Head of Automatic Control at CINESTAV of IPN in Mexico. He graduated from Moscow Physical Technical Institute in 1970, and earned Ph.D. and Doctoral Degrees from the Institute of Control Sciences of Russian Academy of Sciences in 1978 and 1989, respective
  • Defines a novel researching trend in environmental engineering processes that deals with incomplete mathematical model description and other non-measurable parameters and variables
  • Offers both significant new theoretical challenges and an examination of real-world problem-solving
  • Helps students and practitioners learn and inexpensively implement DNN using commercially available, PC-based software tools