Data Science in Air Quality Monitoring (eBook)

Hui Liu, Yanfei Li, Zhu Duan (Autoren)

eBook Download: PDF

2025 | 1. Auflage
XXII, 239 Seiten
Springer-Verlag
978-981-96-5777-3 (ISBN)

Infos

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.

Produkt-Details

• Erscheint lt. Verlag: 2.6.2025
• Reihe/Serie: Engineering Applications of Computational Methods
• Zusatzinfo: XXII, 239 p. 141 illus., 138 illus. in color.
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Datenbanken
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Mathematik / Informatik ► Mathematik
• Themenwelt: Naturwissenschaften ► Geowissenschaften
• Themenwelt: Technik ► Bauwesen
• Schlagworte: Air Pollution • Air quality monitoring • Artificial Intelligence • Data Science • Pollutant Early Warning
• ISBN-10: 981-96-5777-6 / 9819657776
• ISBN-13: 978-981-96-5777-3 / 9789819657773