Binding: Paperback
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 VO Cs 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.
Title: Air Quality Monitoring And Advanced Bayesian Modeling
Author(s): Yuen Ka Veng (Distinguished Professor State Key Laboratory On Internet Of Things For Smart City Department Of Civil And Environmental Engineering University Of Macau Avenida Da Universidade Taipa Macau)
Publisher: Elsevier - Health Sciences Division
Barcode: 9780323902663
Pages: 322 Pages
Publication Date: 1/17/2023
Category: Atmospheric Physics