Memorias de investigación
Artículos en revistas:
Unsupervised system to classify SO2 pollutant concentrations in Salamanca, Mexico
Año:2012
Áreas de investigación
  • Ingenierías,
  • Ciencias de la computación y tecnología informática,
  • Sistema informático
Datos
Descripción
Salamanca is cataloged as one of the most polluted cities in Mexico. In order to observe the behavior and clarify the influence of wind parameters on the Sulphur Dioxide (SO2) concentrations a Self-Organizing Maps (SOM) Neural Network have been implemented at three monitoring locations for the period from January 1 to December 31, 2006. The maximum and minimum daily values of SO2 concentrations measured during the year of 2006 were correlated with the wind parameters of the same period. The main advantages of the SOM Neural Network is that it allows to integrate data from different sensors and provide readily interpretation results. Especially, it is powerful mapping and classification tool, which others information in an easier way and facilitates the task of establishing an order of priority between the distinguished groups of concentrations depending on their need for further research or remediation actions in subsequent management steps. For each monitoring location, SOM classifications were evaluated with respect to pollution levels established by Health Authorities. The classification system can help to establish a better air quality monitoring methodology that is essential for assessing the effectiveness of imposed pollution controls, strategies, and facilitate the pollutants reduction.
Internacional
Si
JCR del ISI
Si
Título de la revista
Expert systems with applications
ISSN
0957-4174
Factor de impacto JCR
2,193
Información de impacto
Volumen
39
DOI
10.1016/j.eswa.2011.05.083
Número de revista
1
Desde la página
107
Hasta la página
116
Mes
SIN MES
Ranking
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Participantes
  • Autor: Maria Guadalupe Cortina Januchs UPM
  • Autor: Jose Miguel Barron Adame UPM
  • Autor: Diego Andina De la Fuente UPM
  • Autor: Antonio Vega-Corona Universidad de Guanajuato
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Automatización en Señal y Comunicaciones (GASC)
  • Departamento: Señales, Sistemas y Radiocomunicaciones