Air Quality Monitoring and Advanced Bayesian Modeling
Language: English
Published by Elsevier Inc Jan 2023, 2023
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 208.51
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Add to basketItem description from seller
Neuware - Air Quality Monitoring and Advanced Bayesian Modeling introduces recent developments in urban air quality monitoring and forecasting. The book presents concepts, theories, and case studies related to monitoring methods of criteria air pollutants, advanced methods for real-time characterization of chemical composition of PM and VOCs, and emerging strategies for air quality monitoring. The book illustrates concepts and theories through case studies about the development of common statistical air quality forecasting models. Readers will also learn advanced topics such as the Bayesian model class selection, adaptive forecasting model development with Kalman filter, and the Bayesian model averaging of multiple adaptive forecasting models.
Seller Inventory # 9780323902663
- Title
- Air Quality Monitoring and Advanced Bayesian Modeling
- Author
- Kai Meng Mok
- Publisher
- Elsevier Inc Jan 2023
- Publication year
- 2023
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 0323902669
- ISBN 13
- 9780323902663
- Item weight
- 557 grams
- Dimensions
- 235x191x17 mm
- Covers fundamental to advanced applications of urban air quality monitoring and forecasting
- Includes detailed descriptions and applications of the instruments necessary for the most successful monitoring techniques
- Presents case studies throughout to provide real-world context to the research presented in the book
"Synopsis" may belong to another edition of this title.
About the Author
Ka In Hoi obtained his bachelor degree (2000), master degree (2003), and Ph.D. (2011) in Civil Engineering at the University of Macau (UM). Starting from 2003, he joined the Department of Civil and Environmental Engineering at UM as the laboratory technician and has been researching air quality forecasting and machine learning application pertaining to Civil and Environmental Engineering. He achieved the Second Prize of Technology Invention of the Macau Science & Technology Award in 2014. Dr. Hoi has published 20 SCI journal articles. He participated 2 FDCT funded projects and 2 internal research projects of the University as the postdoctoral fellow. Now he is the laboratory technician of the Hydraulics laboratory and the Geotechnical Engineering laboratory at the University of Macau.
Kai Meng Mok received his Ph.D. in Civil Engineering from the University of Washington. He is Vice Rector (Student Affairs), Master of the Henry Fok Pearl Jubilee College and Professor of Civil and Environmental Engineering at the University of Macau, where he has also served as Founding Dean of the Honours College and Dean of the Faculty of Science and Technology. He is a member of the Higher Education Council of the Macau SAR government, president of the Association for the Promotion of Higher Education in Macau, and vice president of the International Chinese Association for Computational Mechanics. His research interests include fluid mechanics, and air and water quality modeling and predictions. He is recipient of the 27th Lorenz G. Straub Award, and has received the Second Prize of Technology Invention of the 2014 Macau Science & Technology Award for the project “Air Quality Modeling and Forecasting in Macau from the Science and Technology Development Fund of the Macau SAR Government.
Ka-Veng Yuen is a Distinguished Professor of the State Key Laboratory on Internet of Things for Smart City and Department of Civil and Environmental Engineering of the University of Macau. He received his Ph.D. in Civil Engineering from the California Institute of Technology (Caltech). His research expertise includes Bayesian inference, uncertainty quantification, system identification, structural health monitoring, reliability analysis and analysis of dynamical systems. His paper "Model selection using response measurements: Bayesian probabilistic approach" (coauthored with J.L. Beck) is one of the top 20 most cited papers among all papers published in the Journal of Engineering Mechanics (established since 1983) of the American Society of Civil Engineers.
"About the title" may belong to another edition of this title.
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