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

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Air Quality Networks

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

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Abstract

The last decade has seen a growth of lowcost chemical and particulate, multisensory-based air quality (AQ) monitoring capacity, mostly driven by the needs of overcoming the limitations of regulatory air quality monitoring facilities [1–3]. Their costs and cumbersome dimensions actually limits their deployment density in a number of different situations including towns, historical centres or even low income countries [4].

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Notes

  1. 1.

    VISUM is a macroscopic transport modelling and planning software package available by PTV S.A. (www.ptvgroup.com).

  2. 2.

    COPERT 4 is a software tool used world-wide to calculate air pollutant and greenhouse gas emissions from road transport available via EMISIA S.A. (www.emisia.om).

  3. 3.

    https://www.ncei.noaa.gov/products/weather-climate-models/global-forecast.

  4. 4.

    https://www.arpacampania.it/.

  5. 5.

    https://atmosphere.copernicus.eu/.

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Author information

Authors and Affiliations

  1. Smart Devices Division, Sensors and Photovoltaics Application Laboratory, ENEA Italian Agency for New Technologies, Energy and Environment, Portici, (NA), Italy

    Saverio De Vito, Grazia Fattoruso, Sergio Ferlito, Gerardo D’Elia & Girolamo Di Francia

  2. ARPAC Campania Regional Agency for Environmental Protection, Naples, Italy

    Paolo D’Auria

  3. Agriculture Department, University of Naples “Federico II”, Portici (Naples), Italy

    Fabrizio Cartenì

  4. Terraria Srl, Milan, Italy

    Roberta Gianfreda

Authors
  1. Saverio De Vito
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  2. Grazia Fattoruso
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  3. Sergio Ferlito
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  4. Gerardo D’Elia
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  5. Paolo D’Auria
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  6. Fabrizio Cartenì
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  7. Roberta Gianfreda
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  8. Girolamo Di Francia
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Correspondence to Saverio De Vito .

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Editors and Affiliations

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

    Saverio De Vito

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

    Kostas Karatzas

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

    Alena Bartonova

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

    Grazia Fattoruso

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De Vito, S. et al. (2023). A Data Processing Architecture for Intelligent Hierarchical Air Quality Monitoring Networks in Urban Innovation and Citizen Science Applications. In: De Vito, S., Karatzas, K., Bartonova, A., Fattoruso, G. (eds) Air Quality Networks. Environmental Informatics and Modeling. Springer, Cham. https://doi.org/10.1007/978-3-031-08476-8_2

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