Issue |
MATEC Web Conf.
Volume 373, 2022
10th edition of the International Multidisciplinary Symposium “UNIVERSITARIA SIMPRO 2022”: Quality and Innovation in Education, Research and Industry – the Success Triangle for a Sustainable Economic, Social and Environmental Development
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Article Number | 00067 | |
Number of page(s) | 11 | |
DOI | https://doi.org/10.1051/matecconf/202237300067 | |
Published online | 20 December 2022 |
Presenting air quality status through hot spot maps realized by using Kernel Density Estimation (KDE) - case study: Craiova, 2020/2021
1 University of Petroșani, Faculty of Mines, Department of Environmental Engineering and Geology, 20 University Street, Petroșani, Romania
2 ALRO S.A., 116 Pitesti Street, Slatina, Romania
3 University of Craiova, Faculty of Sciences, Department of Chemistry, 107i Way Bucharest, Craiova, Romania
* Corresponding author: clemymoldovan@gmail.com
As hot spot mapping has become an usual technique used worldwide in order to obtain a clearer view on the geographic incidence of several factors from the most diverse fields, this paper aims to present a case study (developed late 2020 and early 2021) regarding air quality status of Craiova – an important Romanian city – involving the most relevant three gaseous air pollutants. The study has been realized by using a modern technique for generating hot spot maps on grids, as smooth continuous surfaces, which is Kernel Density Estimation (KDE).
© The Authors, published by EDP Sciences, 2022
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