Air Quality Monitoring and Advanced Bayesian Modeling
- 1st Edition - January 17, 2023
- Latest edition
- Authors: Yongjie Li, Ka In Hoi, Kai Meng Mok, Ka Veng Yuen
- Language: English
Air Quality Monitoring and Advanced Bayesian Modeling introduces recent developments in urban air quality monitoring and forecasting. The book presents concepts, theories, and ca… Read more
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.
- 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
Environmental regulatory agencies and air quality monitoring centers; consulting companies with services to environmental engineering, specifically EIA on air quality; Environment, Health and Safety (EHS) department in various industries; Students and researchers in atmospheric science, environmental science, and engineering
1. Introduction
2. Air quality monitoring
3. Traditional statistical air quality forecasting methods
4. Advanced Bayesian air quality forecasting methods
5. Concluding remarks
2. Air quality monitoring
3. Traditional statistical air quality forecasting methods
4. Advanced Bayesian air quality forecasting methods
5. Concluding remarks
- Edition: 1
- Latest edition
- Published: January 17, 2023
- Language: English
YL
Yongjie Li
Yongjie Li is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Macau. He obtained his Ph.D. degree in Environmental Engineering from The Hong Kong University of Science and Technology (2010), after receiving a B.Sc. degree in Chemistry from Peking University (2004). He was a postdoctoral fellow at Harvard University from 2014 – 2015 before joining the University of Macau. His research interests include air pollution measurements and atmospheric chemistry. He has been working on mass spectrometric techniques for real-time air pollution measurements and chemical reactions leading to secondary pollution formation, which resulted in over 100 SCI journal articles on these topics. He teaches one undergraduate course, Environmental Engineering, and two postgraduate courses, Air Pollution Meteorology and Chemistry and Air Pollution Control. He was the recipient of the Asian Young Aerosol Scientist Award in 2022 and the China Aerosol Young Scientist Award in 2019.
Affiliations and expertise
Associate Professor, Department of Civil and Environmental Engineering, University of Macau, Avenida da Universidade, Taipa, MacauKH
Ka In Hoi
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.
Affiliations and expertise
Laboratory Technician, Department of Civil and Environmental Engineering, University of Macau, Avenida da Universidade, Taipa, MacauKM
Kai Meng Mok
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.
Affiliations and expertise
Professor, Department of Civil and Environmental Engineering, University of Macau, Avenida da Universidade, Taipa, MacauKY
Ka Veng Yuen
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.
Affiliations and expertise
Distinguished Professor, State Key Laboratory on Internet of Things for Smart City, Department of Civil and Environmental Engineering, University of Macau, Avenida da Universidade, Taipa, MacauRead Air Quality Monitoring and Advanced Bayesian Modeling on ScienceDirect