AN ALTERNATIVE STRATEGY TO OBTAIN NUMBER OF BINS FOR PROBALITY DENSITY FUNCTION APPLYED TO PM10 CONCENTRATION TIMES SERIES

This work presents a study about atmospheric concentration time series of PM10 of 2015 until 2018, from a monitoring station at downtown of Campinas City, SP, Brazil. The basic goal is to obtain optimal number of bins from curves of coefficient of variation vs. number bins (k), derived from probability density functions, which are reconstructed from time series. The results show the dependence of k-values on total number of points of original time series as well the complex nature of the system.