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Authors: Dejan Gradišar 1 ; Boštjan Grašič 2 ; Marija Zlata Božnar 2 ; Primož Mlakar 2 and Juš Kocijan 3

Affiliations: 1 Jožef Stefan Institute, Slovenia ; 2 MEIS d.o.o., Slovenia ; 3 Jožef Stefan Institute and University of Nova Gorica, Slovenia

Keyword(s): Air Pollution, Ozone, Prediction of Ozone Concentration, Statistical Modelling.

Related Ontology Subjects/Areas/Topics: Complex Systems Modeling and Simulation ; Dynamical Systems Models and Methods ; Environmental Modeling ; Formal Methods ; Simulation and Modeling

Abstract: Tropospheric ozone in high concentrations can cause health problems. A reliable alerting system is needed. In this paper we present the hybrid model that can be used for ozone forecasting in urban microlocations. The hybrid model is combined from meteorological and air-quality models (covering large geographical 3- dimensional space), and empirical model (offering good local forecasts), implemented as a Gaussian-process model. Prediction model for the city of Koper in Slovenia that has Mediterranean climate and problems with the ozone pollution is presented and used for improved one-day-ahead forecasting of the maximum hourly value within each day. The model validation results show that hybrid model improves ozone forecasts and provides better alert systems for the selected location.

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Paper citation in several formats:
Gradišar, D., Grašič, B., Božnar, M. Z., Mlakar, P. and Kocijan, J. (2016). Local Ozone Prediction with Hybrid Model. In Proceedings of the 6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH; ISBN 978-989-758-199-1; ISSN 2184-2841, SciTePress, pages 262-269. DOI: 10.5220/0005980002620269

@conference{simultech16,
author={Dejan Gradišar and Boštjan Grašič and Marija Zlata Božnar and Primož Mlakar and Juš Kocijan},
title={Local Ozone Prediction with Hybrid Model},
booktitle={Proceedings of the 6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH},
year={2016},
pages={262-269},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005980002620269},
isbn={978-989-758-199-1},
issn={2184-2841},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH
TI - Local Ozone Prediction with Hybrid Model
SN - 978-989-758-199-1
IS - 2184-2841
AU - Gradišar, D.
AU - Grašič, B.
AU - Božnar, M.
AU - Mlakar, P.
AU - Kocijan, J.
PY - 2016
SP - 262
EP - 269
DO - 10.5220/0005980002620269
PB - SciTePress

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