Data Science in Air Quality Monitoring - Couverture souple

Liu, Hui; Li, Yanfei; Duan, Zhu

Couverture souple

ISBN 10 : 9819657792 ISBN 13 : 9789819657797

Editeur : Springer Nature Switzerland AG, 2026

Synopsis

This book presents a series of state-of-the-art methods for air quality monitoring in various engineering environment by using data science. In the book, the data-driven key techniques of the preprocessing, decomposition, identification, clustering, forecasting and interpolation of the air quality monitoring are explained in details with lots of experimental simulation. The book can provide important reference for the development of data science technologies in engineering air quality monitoring. The book can be used for students, engineers, scientists and managers in the fields of environmental engineering, atmospheric science, urban climate, civil engineering, traffic and vehicle engineering, etc.

Détails de l'édition

• Éditeur: Springer Nature Switzerland AG
• Date d'édition: 2026
• Langue: anglais
• ISBN 10: 9819657792
• ISBN 13: 9789819657797
• Reliure: Broché
• Nombre de pages: 261
• Coordonnées du fabricant: GPSR Kontakt; ProductSafety@springernature.com; ; Slevogtstraße 3-5; Heidelberg; 69126; Allemagne