Air Quality Monitoring and Advanced Bayesian Modeling Paperback / softback
by Yongjie (Associate Professor, Department of Civil and Environmental Engineering, University of M Li, Ka In (Laboratory Technician, Department of Civil and Environmental Engineering, University of Hoi, Kai Meng (Professor, Department of Civil and Environmental Engineering, University of Macau, Av Mok, Ka Veng (Distinguished Professor, State Key Laboratory on Internet of Things for Smart City, D Yuen
Paperback / softback
Description
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.
Information
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Only a few left - usually despatched within 24 hours
- Format:Paperback / softback
- Pages:322 pages
- Publisher:Elsevier - Health Sciences Division
- Publication Date:17/01/2023
- Category:
- ISBN:9780323902663
Information
-
Only a few left - usually despatched within 24 hours
- Format:Paperback / softback
- Pages:322 pages
- Publisher:Elsevier - Health Sciences Division
- Publication Date:17/01/2023
- Category:
- ISBN:9780323902663
