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Environmental Informatics 2013

https://dl.gi.de/handle/20.500.12116/23833
Auflistung nach:

Auflistung Environmental Informatics 2013 nach Autor:in "Arnaud, Yannick"

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  • Konferenzbeitrag
    Environmental Information System and Odour Monitoring based on Citizen and Technology Innovative Sensors
    (Proceedings of the 27th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management, 2013) Ledent, Philippe; Stevenot, Bernard; Delva, Julien; Kunz, Wolfgang; Romain, Anne-Claude; Uhrner, Ulrich; Valoggia, Philippe; Arnaud, Yannick; De Groof, Arnaud; Hutsemekers, Virginie; Grosso, Giovanna; Johannsen, Laurence
    The challenge is the integration of citizens as community-based observation providers, giving the odour perception and discomfort and getting feed-back in real time from a learning monitoring system. The level of annoyance depends on how odours are emitted and in what intensity, their dispersion under ambient atmospheric conditions and finally on citizens exposure and perception. The Environmental Information System and Odour Monitoring developed in the project OMNISCIENTIS funded by the EU brings together state of the art technologies and open communication capabilities in order to mitigate odour annoyance. The project allows for citizen feedback, deepens knowledge on odour measurement and management and aims to support harmonised legislation at EU level. Moreover the project results can provide savings to industries. The core is an information system allowing inhabitants to serve as human sensors, acting according to sociological patterns, which influence odour perception, discomfort and nuisance. It provides a dedicated tool to consider odour acceptability, based on a community-based opinion. Due to the subjective nature of odour perception, odour monitoring and fast modelling is used to assist and adjust the information citizens provide via Smartphone and obtained by e-nose and modelling. Innovative in-situ sensors are improved to monitor ambient odour exposures. A specific odour dispersion model system is developed to obtain interrelated spatial odour exposure levels. This fast and innovative model system helps us to evaluate the performance of measures taken at the very moment odours are emitted and with respect to the way in which these occur. The Living Lab approach ensures stakeholder involvement, citizens participation in decision-making and supports dissemination activities. The results are conveyed to stakeholders and general public.