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Air Quality Monitoring and Advanced Bayesian Modeling

By: (Author) Ka In Hoi , (Author) Ka Veng Yuen , (Author) Kai Meng Mok , (Author) Yongjie Li

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Ksh 20,700.00

Format: Paperback / Softback

ISBN-10: 0323902669

ISBN-13: 9780323902663

Publisher: Elsevier - Health Sciences Division

Imprint: Elsevier - Health Sciences Division

Country of Manufacture: NL

Country of Publication: GB

Publication Date: Jan 17th, 2023

Print length: 322 Pages

Weight: 668 grams

Dimensions (height x width x thickness): 23.20 x 19.20 x 1.90 cms

Product Classification: Atmospheric physics

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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.

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