RT info:eu-repo/semantics/article
T1 Self-Organizing Maps to Validate Anti-Pollution Policies
A1 Arroyo Puente, Ángel
A1 Cambra Baseca, Carlos
A1 Herrero Cosío, Álvaro
A1 Tricio Gómez, Verónica
A1 Corchado, Emilio
K1 Air quality
K1 Time evolution
K1 Self-organizing maps
K1 Trajectories
K1 Data visualization
K1 Informática
K1 Computer science
AB This study presents the application of self-organizing maps to air-quality data in order to analyze episodes of high pollution inMadrid (Spain’s capital city). The goal of this work is to explore the dataset and then compare several scenarios with similaratmospheric conditions (periods of high Nitrogen dioxide concentration): some of them when no actions were taken andsome when traffic restrictions were imposed. The levels of main pollutants, recorded at these stations for eleven days at fourdifferent times from 2015 to 2018, are analyzed in order to determine the effectiveness of the anti-pollution measures. Thevisualization of trajectories on the self-organizing map let us clearly see the evolution of pollution levels and consequentlyevaluate the effectiveness of the taken measures, after and during the protocol activation time.
PB Oxford University Press
SN 1367-0751
YR 2019
FD 2019-08
LK http://hdl.handle.net/10259/7255
UL http://hdl.handle.net/10259/7255
LA eng
DS Repositorio Institucional de la Universidad de Burgos
RD 26-abr-2024