Air Quality Monitoring and Advanced Bayesian Modeling

Presents a concise treatment of the fundamentals and contemporary issues of air quality monitoring and statistical forecasting for urban areas

Yongjie Li (Author), Ka In Hoi (Author), Kai Meng Mok (Author), Ka Veng Yuen (Author)

9780323902663, Elsevier Science

Paperback / softback, published 17 January 2023

322 pages
23.5 x 19 x 2.1 cm, 0.45 kg

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.

1. Introduction
2. Air quality monitoring
3. Traditional statistical air quality forecasting methods
4. Advanced Bayesian air quality forecasting methods
5. Concluding remarks

Subject Areas: Atmospheric physics [PHVJ]