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.

Covers fundamental to advanced applications of urban air quality monitoring and forecasting
Includes detailed descriptions and applications of the instruments necessary for the most successful monitoring techniques
Presents case studies throughout to provide real-world context to the research presented in the book

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Yes, you can access Air Quality Monitoring and Advanced Bayesian Modeling by Yongjie Li,Ka In Hoi,Kai Meng Mok,Ka Veng Yuen in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Meteorology & Climatology. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Elsevier

Year

2023

ISBN

9780323902670

Topic

Physical Sciences

Subtopic

Meteorology & Climatology

Cover
Title page
Table of Contents
Copyright
Chapter 1: Introduction
Chapter 2: Current air quality monitoring methods
Chapter 3: Emerging air quality monitoring methods
Chapter 4: Traditional statistical air quality forecasting methods
Chapter 5: Advanced Bayesian air quality forecasting methods
Index