[en] The challenge of OMNISCIENTIS is to develop a community based odour monitoring
and information system to mitigate odour annoyance and to foster citizens’
participation in environmental governance. The core is an information system collecting
various data of odour emissions obtained by electronic noses and other sensors,
meteorological conditions and observations by citizens acting as human sensors. A
specific odour dispersion model is developed to use all this information and provide
immediate feedback to all stakeholders. This work presents the architecture of the
environmental information system, some first results from odour monitoring and
model development and validation.
Disciplines :
Environmental sciences & ecology
Author, co-author :
Uhrner, Ulrich
Grosso, gioavanna
Romain, Anne-Claude ; Université de Liège - ULiège > DER Sc. et gest. de l'environnement (Arlon Campus Environ.) > Surveillance de l'environnement
Hutsemekers, Virginie ; Université de Liège - ULiège > DER Sc. et gest. de l'environnement (Arlon Campus Environ.) > Surveillance de l'environnement
Delva, julien
De groof, arnaud
Valoggia, Philippe
Johannsen, L
Stevenot, Bernard
Ledent, Philippe
Language :
English
Title :
Development of an Environmental Information System for Odour using Citizen and Technology Innovative Sensors and Advanced Modelling
Publication date :
2014
Event name :
"Environmental Information Systems and Services - Infrastructures and Platforms 2013 - with Citizens Observatories, Linked Open Data and SEIS/SDI Best Practices" co-located with the International Symposium on Environmental Software Systems 2013 (ISESS 2013)
Event place :
Austria
Event date :
10 october 2013
Audience :
International
Journal title :
CEUR Workshop Proceedings
eISSN :
1613-0073
Publisher :
RWTH Aachen University, Aachen, Germany
Volume :
1322
Peer reviewed :
Peer Reviewed verified by ORBi
European Projects :
FP7 - 308427 - OMNISCIENTIS - Odour MoNitoring and Information System based on CItizEN and Technology Innovative Sensors
Nicolas, J., Cors, M., Romain, A.-C., Delva, J., Identification of odour sources in an industrial park from resident diaries statistics, Atmospheric environment, 44, 13 (2010) 1623-1631.
Almbauer R.A., Oettl D., Bacher M., and Sturm P.J. (2000a), "Simulation of the air quality during a field study for the city of Graz", Atmospheric Environment 34, 4581-4594.
Öttl D. (2012), GRAL documentation, http://app.luis.steiermark.at/berichte/Download/Fachberichte/Lu-03-12-GRAL-Documentation.pdf
Öttl D., Sturm P.J., Pretterhofer G., Bacher M., Rodler J. and Almbauer R.A. (2003a), "Lagrangian dispersion modeling of vehicular emissions from a highway in complex terrain", Journal of the Air and Waste Management Association 53, 1233-1240.
Öttl D., Almbauer R. A., Sturm P.J. and Pretterhofer G. (2003b), "Dispersion modelling of air pollution caused by road traffic using a Markov Chain-Monte Carlo model", Stochastic Environmental Research and Risk Assessment 17, 58-75.
Öttl D., Uhrner U. (2011), "Development and evaluation of GRAL-C dispersion model, a hybrid Eulerian-Lagrangian approach capturing NO-NO2-O3 chemistry", Atmospheric Environment 45, 839-847.
Grell G. A., Peckham S. E., Schmitz R., McKeen S. A., Frost G., Skamarock W. C., Eder B. (2005), "Fully coupled ''online'' chemistry within the WRF model", Atmospheric Environment 39, 6957-6975.
Kuenen J., Denier von der Gon H., Visschedijk A., von der Brugh H., Van Gijlswijk R., MACC European emission inventory for the years 2003-2007, TNO report, Utrecht 2011.
Romain, A.-C., 8.3 Landfill of Solid Waste, in Odour Impact Assessment Handbook (Ed.: Wiley), V., Belgiorno, Chichester, England, 2013, pp. 232-250.
