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Data science in air quality monitoring

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Data science in air quality monitoringby Hui Liu, Yanfei Li, Zhu Duan.
作者:	Liu, Hui.
其他作者:	Li, Yanfei.
出版者:	Singapore :Springer Nature Singapore :2025.
面頁冊數:	xxii, 239 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Air qualityMeasurement
電子資源:	https://doi.org/10.1007/978-981-96-5777-3
ISBN:	9789819657773$q(electronic bk.)

Data science in air quality monitoring
Liu, Hui.

Data science in air quality monitoring[electronic resource] /by Hui Liu, Yanfei Li, Zhu Duan. - Singapore :Springer Nature Singapore :2025. - xxii, 239 p. :ill., digital ;24 cm. - Engineering applications of computational methods,v. 232662-3374 ;. - Engineering applications of computational methods ;v.2..

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.

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.

ISBN: 9789819657773$q(electronic bk.)

Standard No.: 10.1007/978-981-96-5777-3doiSubjects--Topical Terms:

991239
Air quality
--Measurement

LC Class. No.: TD890

Dewey Class. No.: 628.53

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