Air Quality Networks: Data Analysis, Calibration & Data Fusion (1st ed. 2023) (Environmental Informatics and Modeling)

By: Saverio De Vito and Kostas Karatzas and Alena Bartonova and Grazia Fattoruso

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Synopsis: 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.

Book Quality:: Publisher Quality
ISBN-13:: 9783031084768
Related ISBNs:: 9783031084751
Publisher:: Springer International Publishing
Date of Addition:: 01/27/23
Copyrighted By:: Springer Nature Switzerland AG
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Science, Computers and Internet, Business and Finance, Earth Sciences
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.
Edited by:: Saverio De Vito
Edited by:: Kostas Karatzas
Edited by:: Alena Bartonova
Edited by:: Grazia Fattoruso