Local Ozone Prediction with Hybrid Model

Dejan Gradišar, Boštjan Grašič, Marija Zlata Božnar, Primož Mlakar, Juš Kocijan


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 Harvard Style

Gradišar D., Grašič B., Božnar M., 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 - Volume 1: SIMULTECH, ISBN 978-989-758-199-1, pages 262-269. DOI: 10.5220/0005980002620269

in Bibtex Style

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 - Volume 1: SIMULTECH,},

in EndNote Style

JO - Proceedings of the 6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - Local Ozone Prediction with Hybrid Model
SN - 978-989-758-199-1
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