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Memorias de investigación
Communications at congresses:
Data fusion and neural network combination method for air pollution level monitoring
Year:2009
Research Areas
  • Processing and signal analysis
Information
Abstract
Over the last ten years, Salamanca has been considered among the most polluted cities in Mexico, with the most important air pollutants being SO2 and PM10. Currently, in Salamanca, an Environmental Monitoring Network (EMN) is installed in which time series of criteria pollutants and meteorological variables are obtained. Unfortunately air pollution level is computed in each monitoring station without taking into account those meteorological variables. In this paper, we propose a novel methodology to compute air pollution levels taking the meteorological variables as a decision factor by means of data fusion and neural networks. First, in preprocessing stage two Feature Vectors (FVSO2 and FVPM10) are built for each monitoring station. Next, in data fusion stage, a Representative Feature Vector by pollutant (RFVSO2 and RFVPM10) is built with the maximum value of the three FVs. Finally, an Artificial Neural Network (ANN) is trained with the RFV in order to classify future environmental situations. Self-Organizing Map (SOM) is the ANN applied. In this paper, time series of pollutant concentrations and meteorological variables are obtained from the EMN. EMN is composed for the three monitoring stations in Salamanca. Data used in this study have approved according to Proaire environmental authority standards.
International
Si
Congress
Industrial Informatics, 2009. INDIN 2009. 7th IEEE International Conference on
960
Place
Cardiff, UK
Reviewers
Si
ISBN/ISSN
1935-4576
10.1109/INDIN.2009.5195858
Start Date
23/06/2009
End Date
26/06/2009
From page
522
To page
527
Proc. of Industrial Informatics, 2009. INDIN 2009. 7th IEEE International Conference on
Participants
  • Autor: Antonio Vega-Corona (UG)
  • Autor: Diego Andina De la Fuente (UPM)
  • Autor: María Guadalupe Cortina Januchs (UPM)
  • Autor: Juan Isidoro Seijas Martinez-Echevarria (UPM)
  • Autor: Jose Miguel Barron Adame (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Automatización en Señal y Comunicaciones (GASC)
  • Departamento: Señales, Sistemas y Radiocomunicaciones
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