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Data Science in Air Quality Monitoring / by Hui Liu, Yanfei Li, Zhu Duan

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Engineering Applications of Computational Methods ; 23Publisher: Singapore : Springer Nature Singapore, 2025Publisher: Singapore : Imprint: Springer, 2025Edition: 1st ed. 2025Description: 1 Online-Ressource(XXII, 239 p. 141 illus., 138 illus. in color.)ISBN:
  • 9789819657773
Subject(s): Additional physical formats: 9789819657766 | 9789819657780 | 9789819657797 | Erscheint auch als: 9789819657766 Druck-Ausgabe | Erscheint auch als: 9789819657780 Druck-Ausgabe | Erscheint auch als: 9789819657797 Druck-AusgabeDDC classification:
  • 333.7 23
DOI: DOI: 10.1007/978-981-96-5777-3Online resources: Summary: Chapter 1 Introduction -- Chapter 2 Data preprocessing in air quality monitoring -- Chapter 3 Data decomposition in air quality monitoring -- Chapter 4 Data identification in air quality monitoring -- Chapter 5 Data preprocessing in air quality monitoring -- Chapter 6 Data forecasting in air quality monitoring -- Chapter 7 Data interpolation in air quality monitoring.Summary: 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.PPN: PPN: 192786643XPackage identifier: Produktsigel: ZDB-2-SEB | ZDB-2-EES | ZDB-2-SXEE
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