Air quality monitoring and advanced Bayesian modelling /

"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...

Full description

Bibliographic Details
Corporate Author:	ScienceDirect (Online service)
Other Authors:	Li, Yongjie
Format:	eBook
Language:	English
Published:	Amsterdam, Netherlands ; Oxford, United Kingdom ; Cambridge MA : Elsevier, [2023]
Subjects:	Air > Pollution > Measurement > Mathematical models. Air quality > Forecasting > Mathematical models. Bayesian statistical decision theory. Air > Pollution > Mesure > Modèles mathématiques. Air > Qualité > Prévision > Modèles mathématiques. Théorie de la décision bayésienne. Air > Pollution > Measurement > Mathematical models Bayesian statistical decision theory Electronic books.
Online Access:	Connect to the full text of this electronic book

Description
Summary:	"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." --
Physical Description:	1 online resource
Bibliography:	Includes bibliographical references and index.
ISBN:	9780323902670 0323902677