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

Ojeda Magaña, Benjamín and Cortina Januchs, María Guadalupe and Barron Adame, Jose Miguel and Quintanilla Domínguez, Joel and Hernandez Perdomo, Wilmar and Vega Corona, Antonio and Ruelas, Rubén and Andina de la Fuente, Diego (2010). Air pollution Analysis with a PFCM Clustering Algorithm Applied in a Real Database of Salamanca (Mexico). In: "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.

Description

Title: Air pollution Analysis with a PFCM Clustering Algorithm Applied in a Real Database of Salamanca (Mexico)
Author/s:
  • 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
Item Type: Presentation at Congress or Conference (Article)
Event Title: IEEE International Conference on Industrial Technology, ICIT 2010
Event Dates: 14/03/2010 - 17/03/2010
Event Location: Viña del Mar, Valparaiso, Chile
Title of Book: Proceedings of the IEEE International Conference on Industrial Technology, ICIT 2010
Date: 2010
ISBN: 978-1-4244-5695-6
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 8108
DC Identifier: http://oa.upm.es/8108/
OAI Identifier: oai:oa.upm.es:8108
Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?tp=&arnumber=5472531
Deposited by: Memoria Investigacion
Deposited on: 17 Aug 2011 11:52
Last Modified: 20 Apr 2016 17:00
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