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Air quality networksdata analysis, calibration & data fusion /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Air quality networksedited by Saverio De Vito ... [et al.].
Reminder of title:	data analysis, calibration & data fusion /
other author:	De Vito, Saverio.
Published:	Cham :Springer International Publishing :2023.
Description:	vii, 178 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Air qualityData processing.
Online resource:	https://doi.org/10.1007/978-3-031-08476-8
ISBN:	9783031084768$q(electronic bk.)

Air quality networksdata analysis, calibration & data fusion /
Air quality networksdata analysis, calibration & data fusion /[electronic resource] :edited by Saverio De Vito ... [et al.]. - Cham :Springer International Publishing :2023. - vii, 178 p. :ill., digital ;24 cm. - Environmental informatics and modeling,2662-8414. - Environmental informatics and modeling..

1. Future air quality networks -- 2. General data processing techniques -- 3. Fields deployments performances -- 4. Special applications -- 5. Cooperative and regulatory efforts.

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.

ISBN: 9783031084768$q(electronic bk.)

Standard No.: 10.1007/978-3-031-08476-8doiSubjects--Topical Terms:

953376
Air quality
--Data processing.

LC Class. No.: TD883.1 / .A37 2023

Dewey Class. No.: 363.7392

Air quality networksdata analysis, calibration & data fusion /
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