Air Quality Monitoring and Advanced Bayesian Modeling (Paperback)

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.

General

Imprint:	Elsevier - Health Sciences Division
Country of origin:	United States
Release date:	2023
First published:	2023
Authors:	Yongjie Li • Ka In Hoi • Kai Meng Mok • Ka-Veng Yuen
Dimensions:	235 x 191 x 19mm (L x W x T)
Format:	Paperback
Pages:	330
ISBN-13:	978-0-323-90266-3
Categories:	Books > Science & Mathematics > Physics > Applied physics & special topics > Atmospheric physics Promotions
LSN:	0-323-90266-9
Barcode:	9780323902663

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!