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ENVI4ALL: Personalised Air Quality Information Based on Open Environmental Data and User-Generated Information

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10078))

Abstract

Air pollution open data has a huge value for citizens, especially these belonging to vulnerable groups. Information on air quality can help them to take better informed decisions that safeguard their health. Although this information is available in multiple sources, in the form that the data is provided, it is difficult for citizens to extract the information they actually need. In addition, existing monitoring stations mainly cover only large cities, and fail to take into account differences in microclimates occurring within a specific area. ENVI4ALL will be an application that addresses these challenges by providing direct access to personalised and localised information on air quality (current, forecast, and historical), making use of diverse sources of large datasets of open air quality data, and crowdsourced information on the perception of app users about the current air quality. An empirical model will be also applied for the provision of air quality forecasts.

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Notes

  1. 1.

    http://uk-air.defra.gov.uk/forecasting/, Accessed: 16/8/2016.

  2. 2.

    http://aqicn.org/map/europe/, Accessed: 16/8/2016.

  3. 3.

    http://www.envirofi.eu/, Accessed: 16/8/2016.

  4. 4.

    http://pescado-project.upf.edu/, Accessed: 16/8/2016.

References

  1. World Health Organisation: 7 million premature deaths annually linked to air pollution. News release, 25 March 2014

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  2. Andrews, A.: The clean air handbook-a practical guide to eu air quality law. The Clean Air project. Version 1.0, April 2014

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  3. Mintz, D.: Guidelines for the reporting of daily air quality – the air quality index (AQI). U.S. Environmental Protection Agency, EPA-454/B-06-001 (2006)

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Correspondence to Panagiota Syropoulou .

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© 2016 Springer International Publishing AG

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Kosmidis, E., Kourtidis, K., Syropoulou, P. (2016). ENVI4ALL: Personalised Air Quality Information Based on Open Environmental Data and User-Generated Information. In: Satsiou, A., et al. Collective Online Platforms for Financial and Environmental Awareness. IFIN ISEM 2016 2016. Lecture Notes in Computer Science(), vol 10078. Springer, Cham. https://doi.org/10.1007/978-3-319-50237-3_8

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  • DOI: https://doi.org/10.1007/978-3-319-50237-3_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-50236-6

  • Online ISBN: 978-3-319-50237-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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