Air Quality Monitoring and Advanced Bayesian Modeling (Paperback) (ISBN-13: 9780323902663)

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.

Author: Yongjie Li, Ka In Hoi, Kai Meng Mok
ISBN-10: 0323902669
ISBN-13: 9780323902663
Publisher: Elsevier
Language: English
Published: 01/17/2023
Pages: 322
Format: Paperback
Weight: 1.22lbs
Size: 9.25h x 7.50w x 0.67d