Air pollution Analysis with a PFCM Clustering Algorithm Applied in a Real Database of Salamanca (Mexico)

Ojeda Magaña, Benjamín; Cortina Januchs, María Guadalupe; Barron Adame, Jose Miguel; Quintanilla Domínguez, Joel; Hernandez Perdomo, Wilmar; Vega Corona, Antonio; Ruelas, Rubén y Andina de la Fuente, Diego (2010). Air pollution Analysis with a PFCM Clustering Algorithm Applied in a Real Database of Salamanca (Mexico). En: "IEEE International Conference on Industrial Technology, ICIT 2010", 14/03/2010 - 17/03/2010, Viña del Mar, Valparaiso, Chile. ISBN 978-1-4244-5695-6.

Descripción

Título: Air pollution Analysis with a PFCM Clustering Algorithm Applied in a Real Database of Salamanca (Mexico)
Autor/es:
  • Ojeda Magaña, Benjamín
  • Cortina Januchs, María Guadalupe
  • Barron Adame, Jose Miguel
  • Quintanilla Domínguez, Joel
  • Hernandez Perdomo, Wilmar
  • Vega Corona, Antonio
  • Ruelas, Rubén
  • Andina de la Fuente, Diego
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: IEEE International Conference on Industrial Technology, ICIT 2010
Fechas del Evento: 14/03/2010 - 17/03/2010
Lugar del Evento: Viña del Mar, Valparaiso, Chile
Título del Libro: Proceedings of the IEEE International Conference on Industrial Technology, ICIT 2010
Fecha: 2010
ISBN: 978-1-4244-5695-6
Materias:
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Señales, Sistemas y Radiocomunicaciones
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Over the last ten years, Salamanca has been considered among the most polluted cities in México. Nowadays, there is an Automatic Environmental Monitoring Network (AEMN) which measures air pollutants (Sulphur Dioxide (SO2), Particular Matter (PM10), Ozone (O3), etc.), as well as environmental variables (wind speed, wind direction, temperature, and relative humidity), and it takes a sample of the variables every minute. The AEM Network is mainly based on three monitoring stations located at Cruz Roja, DIF, and Nativitas. In this work, we use the PFCM (Possibilistic Fuzzy c Means) clustering algorithm as a mean to get a combined measure, from the three stations, looking to provide a tool for better management of contingencies in the city, such that local or general action can be taken in the city according to the pollution level given by each station and the combined measure. Besides, we also performed an analysis of correlation between pollution and environmental variables. The results show a significative correlation between pollutant concentrations and some environmental variables. So, the combined measure and the correlations can be used for the establishment of general contingency thresholds.

Más información

ID de Registro: 8108
Identificador DC: http://oa.upm.es/8108/
Identificador OAI: oai:oa.upm.es:8108
URL Oficial: http://ieeexplore.ieee.org/xpls/abs_all.jsp?tp=&arnumber=5472531
Depositado por: Memoria Investigacion
Depositado el: 17 Ago 2011 11:52
Ultima Modificación: 20 Abr 2016 17:00
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