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Ozonation and Biodegradation in Environmental Engineering - 1st Edition - ISBN: 9780128128473, 9780128128480

Ozonation and Biodegradation in Environmental Engineering

1st Edition

Dynamic Neural Network Approach

Authors: Tatyana Poznyak Isaac Chairez Alex Poznyak
eBook ISBN: 9780128128480
Paperback ISBN: 9780128128473
Imprint: Elsevier
Published Date: 7th November 2018
Page Count: 546
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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.

Key Features

  • 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


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

Table of Contents

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 DifferentialNeuralNetworks 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 OzonationMixed 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


No. of pages:
© Elsevier 2018
7th November 2018
eBook ISBN:
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About the Authors

Tatyana Poznyak

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.

Affiliations and Expertise

Professor of Environmental Chemical Engineering, SEPI-ESIQIE-IPN, Mexico

Isaac Chairez

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.

Affiliations and Expertise

Professor of Bioengineering, SEPI-UPIBI-IPN, Mexico

Alex Poznyak

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 43 Ph.D. theses, and published more than 260 papers and 14 books.

Affiliations and Expertise

Professor and Department Head of Automatic Control, CINESTAV of IPN, Mexico

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