Abstract
We present an analysis of particle matter (MP) concentration measured at three stations located in the department of Montevideo, Uruguay. The Montevideo Council and the National Directorate of the Environment of Uruguay are interested in analyzing the possibility of predicting unsettling air quality events by other means not directly related to build and operate a real time air quality monitoring network. A strong correlation between measurements in different air quality stations especially along events of high concentration was obtained; it is intended to be associated with a distributed source. In such cases, high correlation was also found between the pollutant concentration and the meteorological variables temperature, wind velocity and mixing layer depth. As there is no air quality available data in real time, an accurate prediction of meteorological variables seems to be a good option for properly forecasting of air quality in Montevideo city, especially in terms of MP concentrations.
Highlights
Montevideo is located on the Rio de la Plata shore in southern Uruguay
High correlation was found between the pollutant concentration and the meteorological variables temperature, wind velocity and mixing layer depth
As there is no air quality available data in real time, an accurate prediction of meteorological variables seems to be a good option for properly forecasting of air quality in Montevideo city, especially in terms of MP concentrations
Summary
Montevideo is located on the Rio de la Plata shore in southern Uruguay. A windy climate confers to the city a healthy atmospheric environment. There are several tools to proceed with the meteorological forecast, which are typically applied to analyze climate evolution, wind-power production and to determine adequate times for crop harvesting. In the first stage of producing a forecast, we carried out an analysis aimed to identify correlations between pollutant concentrations and meteorological parameters, as to identify the effect of relevant pollutant sources as it is analyzed in Grange et al, 2013 [4]. This analysis is based on the results of the measurements of the monitoring network as it is presented in Dogerrà et al, 2010 [5]. Lower mixing layers are related to smaller dilution volumes and higher pollutant concentrations should be expected
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