Air Quality Networks [electronic resource] : Data Analysis, Calibration & Data Fusion / edited by Saverio De Vito, Kostas Karatzas, Alena Bartonova, Grazia Fattoruso.

9783031084768

1st ed. 2023.

Cham : Springer International Publishing : Imprint: Springer, 2023.

1 online resource (VII, 178 p.) 86 illus., 73 illus. in color.

Access is available to the Yale community.

Access restricted by licensing agreement.

This volume offers expert contributions proposing new and recently set scientific standards for smart air quality (AQ) networks data processing, along with results obtained during field deployments of pervasive and mobile systems. The book is divided into 5 main sections; 1) future air quality networks, 2) general data processing techniques, 3) field deployments performances, 4) special applications, and 5) cooperative and regulatory efforts. The authors offer different sources of data for the production of trustworthy insights, including spatio-temporal predictive AQ maps meant to boost citizen awareness, and informed participation in remediation and prevention policies. Readers will learn about the best and most up-to-date practices for measuring and assessing air quality, while also learning about current regulatory statuses regarding air quality technology design and implementation. The book will be of interest to air quality regulatory agencies, citizen science groups, city authorities, and researchers and students working with air quality sensors and geostatistics.

Springer ENIN.

Books / Online

English

February 22, 2023