Prediction of NO and NO2 concentrations near a street with heavy traffic in Santiago, Chile

Abstract Based on NO concentrations and meteorological variables recorded hourly at a point close to an avenue with heavy traffic in the city of Santiago, we are able to build a simple model that allows prediction of NO concentrations several hours in advance. Predicted NO concentrations in conjunction with forecasted meteorological data may be used to predict NO2 concentrations with reasonable accuracy. We compare predictions generated using persistence, linear regressions and multi layer neural networks.