+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)


Ozonation and Biodegradation in Environmental Engineering

  • ID: 4519407
  • Book
  • November 2018
  • 546 Pages
  • Elsevier Science and Technology
1 of 3

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.

  • 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

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

Note: Product cover images may vary from those shown
2 of 3

I Chemical Processes in Environmental Engineering and Dynamic Neural Networks 1. Ozonation as main method for organic contaminants degradation in three different phases: liquid, solid and gaseous 2. Modelling of Ozonation Processes 3. Background on Dynamic Neural Networks 4. Motivation of Differential Neural Networks Application to Environment Problems 5. 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 Phase 6. Automatic control of ozonation systems 7. Catalytic ozonation for Recalcitrant Contaminants Removal 101 8. Photocatalytic Ozonation for Complex Organics 9. Physicochemical and Ozonation Mixed TreatmentMethods 10. Continuous Ozonation Treatment

III Remediation of Contaminated Soil 11. Conventional Ozonation and Mass Transfer Effects in Solid Phase

IV Purification of Contaminated Air 12. Ozonation of Gaseous Samples

V Sequential Treatment by Biodegradation and Ozonation 13. Biodegradation

Note: Product cover images may vary from those shown
3 of 3
Poznyak, Tatyana
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.
Chairez Oria, Jorge Isaac
Isaac Chairez has served as full time professor over the last 15 years in the Professional Interdisciplinary Unit of the National Politechnique Institute (NPI). He has published 76 papers in referred journal included in the JCR. Over the last ten years, Dr. Chairez have been working on projects oriented on bioengineering. His research focus is on new Artificial Neural Network methods to solve a wide range of engineering problems from adaptive control of uncertain systems to new methods to classify patterns in electrophysiological signals. In particular, he now aims to develop embedded forms of these networks in order to evaluate their workability on real life problems.
Poznyak, Alex
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, respectively. He has directed 23 Ph.D. theses, and published more than 120 papers and 9 books.
Note: Product cover images may vary from those shown