2026-05-07T04:41:52Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/72552023-01-18T01:05:26Zcom_10259_3847com_10259_5086com_10259_2604col_10259_3848
Arroyo Puente, Ángel
741
600
0000-0002-1614-9075
Cambra Baseca, Carlos
743
600
0000-0001-5567-9194
Herrero Cosío, Álvaro
283
600
0000-0002-2444-5384
Tricio Gómez, Verónica
555
600
Corchado, Emilio
125
600
0000-0001-8560-3991
2023-01-17T11:48:36Z
2023-01-17T11:48:36Z
2019-08
1367-0751
http://hdl.handle.net/10259/7255
10.1093/jigpal/jzz049
1368-9894
This study presents the application of self-organizing maps to air-quality data in order to analyze episodes of high pollution in
Madrid (Spain’s capital city). The goal of this work is to explore the dataset and then compare several scenarios with similar
atmospheric conditions (periods of high Nitrogen dioxide concentration): some of them when no actions were taken and
some when traffic restrictions were imposed. The levels of main pollutants, recorded at these stations for eleven days at four
different times from 2015 to 2018, are analyzed in order to determine the effectiveness of the anti-pollution measures. The
visualization of trajectories on the self-organizing map let us clearly see the evolution of pollution levels and consequently
evaluate the effectiveness of the taken measures, after and during the protocol activation time.
application/pdf
eng
Oxford University Press
Logic Journal of the IGPL. 2019, V. 28, n. 4, p. 596-614
https://doi.org/10.1093/jigpal/jzz049
Air quality
Time evolution
Self-organizing maps
Trajectories
Data visualization
Informática
Computer science
Self-Organizing Maps to Validate Anti-Pollution Policies
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/openAccess
Logic Journal of the IGPL
28
4
596
614
THUMBNAIL
Arroyo-igpl_2019.pdf.jpg
Arroyo-igpl_2019.pdf.jpg
IM Thumbnail
image/jpeg
4568
https://riubu.ubu.es/bitstream/10259/7255/3/Arroyo-igpl_2019.pdf.jpg
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MD5
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LICENSE
license.txt
license.txt
text/plain; charset=utf-8
1362
https://riubu.ubu.es/bitstream/10259/7255/2/license.txt
5d013bfa6e473ff0db22cd82a4d71a70
MD5
2
ORIGINAL
Arroyo-igpl_2019.pdf
Arroyo-igpl_2019.pdf
application/pdf
2974367
https://riubu.ubu.es/bitstream/10259/7255/1/Arroyo-igpl_2019.pdf
cc06043ef12215c5e247b0baf206c2da
MD5
1
10259/7255
oai:riubu.ubu.es:10259/7255
2023-01-18 02:05:26.868
Repositorio Institucional de la Universidad de Burgos
bubrep@ubu.es
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