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Authors: Pavel Jirava and Michal Kuřík

Affiliation: Institute of System Engineering and Informatics, Fac Econ & Adm, University of Pardubice, Czech Republic

Keyword(s): UAV, Stationary Sources of Air Pollution, Ringelmann Scale, Data, Smoke Plume.

Abstract: This paper is focused on the use of unmanned aerial vehicles for the monitoring of air pollution by stationary sources. A quadrocope with digital image capture was used for experiments. The data thus obtained was processed and the Ringelmann scale method for determining the darkness of the smoke plume was applied.. The values obtained are relevant and can be used to determine the rate of air pollution by a stationary source. The advantage of this proposed procedure are the low costs of realization and reduction of the influence of the human factor on determining the darkness of the smoke and finally no need for direct access to the stationary source of air pollution.

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Paper citation in several formats:
Jirava, P. and Kuřík, M. (2017). Use of Unmanned Aerial Vehicles for Monitoring of Air Pollution Generated by Stationary Sources. In Proceedings of the International Conference on Computer-Human Interaction Research and Applications - CHIRA; ISBN 978-989-758-267-7; ISSN 2184-3244, SciTePress, pages 150-155. DOI: 10.5220/0006510801500155

@conference{chira17,
author={Pavel Jirava. and Michal Ku\v{r}ík.},
title={Use of Unmanned Aerial Vehicles for Monitoring of Air Pollution Generated by Stationary Sources},
booktitle={Proceedings of the International Conference on Computer-Human Interaction Research and Applications - CHIRA},
year={2017},
pages={150-155},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006510801500155},
isbn={978-989-758-267-7},
issn={2184-3244},
}

TY - CONF

JO - Proceedings of the International Conference on Computer-Human Interaction Research and Applications - CHIRA
TI - Use of Unmanned Aerial Vehicles for Monitoring of Air Pollution Generated by Stationary Sources
SN - 978-989-758-267-7
IS - 2184-3244
AU - Jirava, P.
AU - Kuřík, M.
PY - 2017
SP - 150
EP - 155
DO - 10.5220/0006510801500155
PB - SciTePress

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