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Air Quality Networks

Data Analysis, Calibration & Data Fusion

  • Book
  • © 2023

Overview

Editors:
  1. Saverio De Vito

    1. ENEA—Agenzia Nazionale per le nuove Tecnologie, l’Energia e lo Sviluppo Economico Sostenibile, Photovoltaics and Sensors Applications Laboratory, Naples, Italy

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  2. Kostas Karatzas

    1. School of Mechanical Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece

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  3. Alena Bartonova

    1. NILU—Norvegian Institute for Air Research, Kjeller, Norway

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  4. Grazia Fattoruso

    1. ENEA—Agenzia Nazionale per le nuove Tecnologie, l’Energia e lo Sviluppo Economico Sostenibile, Photovoltaics and Sensors Applications Laboratory, Naples, Italy

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  • Proposes new technical and scientific standards for smart air quality networks data processing
  • Offers well-designed and engineered data processing pathways for the integration of different data sources
  • Discusses high-resolution spatio-temporal predictive air quality maps

Part of the book series: Environmental Informatics and Modeling (EIAM)

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-vii
    Download chapter PDF

  2. New Challenges in Air Quality Measurements

    • Federico Karagulian
    Pages 1-18

  3. A Data Processing Architecture for Intelligent Hierarchical Air Quality Monitoring Networks in Urban Innovation and Citizen Science Applications

    • Saverio De Vito, Grazia Fattoruso, Sergio Ferlito, Gerardo D’Elia, Paolo D’Auria, Fabrizio Cartenì et al.
    Pages 19-46

  4. Using Continuous Integration Processes to Build Environments for Processing Air Quality Data from IoT Devices

    • Cezary Orłowski
    Pages 47-66

  5. AQ Mapping Through Low-Cost Sensor Networks

    • Diego Mendez, Monica Sanchez
    Pages 67-94

  6. Odour Nuisance Monitoring

    • Carmen Bax, Laura Capelli
    Pages 95-113

  7. Drone-Based Monitoring of Environmental Gases

    • J. Burgués, S. Marco
    Pages 115-137

  8. Environmental Education for High School Students—Investigation of Air Quality with Low-Cost Sensors

    • Sebastian Höfner, Andreas Schütze
    Pages 139-161

  9. Analysis and Modelling of an Optical Particulate Matter Sensor Data Towards Its Performance Improvement

    • Dimitrios Nikolis, Kostas Karatzas, Joel Kuula, Hilkka Timonen
    Pages 163-178
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Keywords

About this book

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. 

Editors and Affiliations

  • ENEA—Agenzia Nazionale per le nuove Tecnologie, l’Energia e lo Sviluppo Economico Sostenibile, Photovoltaics and Sensors Applications Laboratory, Naples, Italy

    Saverio De Vito, Grazia Fattoruso

  • School of Mechanical Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece

    Kostas Karatzas

  • NILU—Norvegian Institute for Air Research, Kjeller, Norway

    Alena Bartonova

About the editors

Saverio De Vito is a researcher at ENEA, Italian National Agency for New Technologies, Energy and Sustainable Economic Development. He holds a Ph.D. in Information Engineering. He was a SW architect specializing in TLC/EO satellite platforms and their applications. His research interests include artificial olfaction & vision, smart cyber physical systems, intelligent sensing, pattern recognition, and computer-aided diagnosis. During last decade He was involved in the reasearch efforts for the development of scalable, reliable, accurate low cost air quality monitoring networks,  innovating the urban air quality monitoring in smart cities while supporting citizens awareness and involvement through citizens science and urban innovation projects. He has participated in several international research projects and has authored more than 70 contributions.


Grazia Fattoruso is a researcher at ENEA, Italian National Agency for New Technologies, Energy and Sustainable Economic Development. She is a geomatician with a PhD in Computer Science. Her research interests are in the fields of Geomatics, Spatial Statistics, Optimal sampling sensor placement, Numerical modeling, Spatially Distributed Sensors with several applications as Urban Air Quality management – site suitability map for networked sensors for urban AQ monitoring; urban air pollution mapping by opportunistic mobile monitoring. Photovoltaics - site suitability and solar potential (online) mapping for ground-mounted and integrated (buildings, agrivolatics) PV systems. Smart WAter Networks – patented innovative method and system for Cl and THMs concentrations monitoring in aqueducts. She has been involved in several EU and national research projects and She is (co)author of more than 70 scientific publications.


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