December 2005
Intermediate to advanced
592 pages
30h 56m
English
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Chapter . Correlation Analysis of Environmental Pollutants and Meteorological Variables Applying Neuronal Networks
A. Vega-Corona[a], Diego-Andina[b], F.S. Buendia-Buendia[b]J.M. Barron-Adame[a]
Email addresses: tono@salamanca.ugto.mx (A. Vega-Corona), andina@gc.ssr.upm.es (Diego-Andina), fulgencio@gc.ssr.upm.es (F.S. Buendia-Buendia), badamem@salamanca.ugto.mx (J.M. Barron-Adame).
Abstract
In order to develop an environmental contingency forecasting tool for decision making, a Pattern Recognition method applying Neural Networks is presented. For this purpose, SO2 and PM10 time series concentrations are analyzed every hour and daily, as well as a variety of meteorological variables. These pollutant concentrations and meteorological variables are ...
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