Distribución Temporal de la Fracción Respirable PM10 y la Correlación con las Variables Meteorológicas en la Universidad de la Costa, CUC
Doria Oviedo, Ranulfo
Show full item record
Show full item record
AbstractBarranquilla is considered a major city in Colombia, because it is a growing epicenter of industries and one of the most important ports in the country, it is necessary to monitor its air quality, so in the present study the temporal variation of the respirable fraction PM10 and the influence of meteorological variables such as temperature, relative humidity, precipitation and wind speed and direction in PM10 concentrations in a representative area of the city of Barranquilla. The monitoring station was located in the north of the historic center of the city, exactly inside the University of the Coast, CUC samples were taken of PM10 during the months of April, May, June and July every three days, with a Partisol 2000 sampler The filters were filtered through a desiccator for 24 hours to remove moisture and to be weighed, to determine the concentrations of the sampled days. For the meteorological variables that were used in the study the meteorological station of the IDEAM that is in the neighborhood the flowers of the city of Barranquilla was visited. The analysis was initiated with a graphical correlation between the concentration of particulate material and the meteorological variables. Statistically, the pearson correlation was established that the variables were not adjusted to a normal distribution, whereby they were correlated by spearman, which showed a percentage of significance of 0.05% in the variables that presented higher correlation values (-0.2599) and relative humidity (-0.1015) were also performed multivariate analysis using multiple linear regression that from the Stepweise method it was determined that temperature is the variable that has the highest relation with the PM10 According to its p-value of 0.071 and with an indicator of quality of adjustment of 13.5%. The multiple linear regression model indicated that the increase of 1 ° C in the maximum daily temperature implies a decrease of 8.63 μg / m3 in the concentration of particulate material. The principal component analysis was performed, of which three main components were obtained. The first component gave the explanation of 25.9%, the second of 23.2% and the third 18.6% of the data; Overall the main component test for the present study explained 67.7% of the data set. For the first component, which is the PM10 concentration, it showed a direct relationship, as opposed to the relative humidity and temperature, which showed an inverse relationship, with the temperature having the greatest influence on the PM10 respirable fraction. It can be said that correlations, multiple regressions were evident that temperature is the variable that most influence tube in PM10 concentration. This study has demonstrated the relationship of meteorological conditions and PM10 in the city of Barranquilla, despite being a coastal city without the presence of stations and for a short study period.