Lazo, Pamela; Curé, Michel; Gaete, Hernán
September 2006
INGENIARE - Revista Chilena de Ingeniería;Sep-Dec2006, Vol. 14 Issue 3, p229
Academic Journal
The present work evaluates the atmospheric dispersion model ISC3 in Puchuncaví, Chile, modelling the emissions of SO2 coming from the five stations that make up the air quality network in the industrial complex of Ventanas. 24 hour average concentrations for the years 2003 and 2004 were modelled, systematic errors being diminished by using a Kalman filter. The performance of the model is evaluated using a series of statistic tools. An analysis of the sensitivity of the SO2 rate of emission, speed and wind direction variation is made, noting that the model is sensible to these factors, being this one of the causes of the errors found in four of the five stations that measured the quality of the air. It is concluded that the Kalman filter improves model ISC3, providing results with fewer errors in the five air quality measuring stations.


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