The analysis of carbon monoxide contamination in the urban area of Rosario

摘要

A model for estimating (hourly, daily and annual mean concentrations) carbon monoxide in the city of Rosario, in Santa Fe, Argentine is presented. The data series of carbon monoxide, nitrogen oxides, meteorological variables and emission inventory are also a result of this project (there was no previous available data in Rosario). The model, e.g. Benz et al. considers all the types of sources (vehicular emissions, industries, domestic activities, etc.). It is based on a similar strategy proposed by several authors; e.g. Dabberdt et al. Shieh et al. Johnson et al. That is, different Gaussian models (modular in nature) are linked to consider the contributions of punctual, linear or area sources (different urban emission sources) with the Canyon Model, e.g. Dabberdt et al. This is used to consider the contribution of the specific vehicular flux in the street where the receptor point is placed; this contribution is added to the background concentration estimated by the integration of the appropriate Gaussian plume models, as it was just mentioned. It was found out that the best estimates are achieved when constant K in the Canyon Model is replaced by a function of wind velocity. This new strategy eliminates the under and overestimate at low and high concentrations, respectively, as it is commonly reported in the literature. Summarizing, carbon monoxide behavior in Rosario, mainly downtown, is reported. An emission inventory (partially performed) is being analyzed. Finally, a model for the estimate of this pollutant is used. This is the first work concerning this topic carried out in our city, and according to the consulted literature, in our country.