Assessment of the relationship between PM10 and visibility in the separation of synoptic code in Yazd

The particulate matter less than 10 µm (PM10) and visibility are known as two important parameters in researches connected to the tropospheric aerosols and dust so that the air pollution is related to those at the specific time. This study analyzes the relationship between PM10 and visibility whit using evolutional Genetic Algorithm. The area’s case study was Yazd city as representative of central of Iran. Visibilities data whit separation of 05, 06, 07 and 09 synoptic conditions, for 5 years (2010-2015) from Yazd Meteorology Organization; and PM10 data from air pollution control stations connected to Yazd Environment Organization have been catches. To reach mentioned mathematic relations, linear regression equation and several kinds of famous functions have been a comparison; which Gaussian function selects as the best fitness function. The results of this research, were the general equation between PM10 and visibility, PM10 and visibility whit 05 code, also PM10 and visibility connected to 09 synoptic code, using Gaussian function in 1 term; and equation between PM10 and visibility when to happen 06 and 07 synoptic conditions, using Gaussian function in 2 term that has been presentation.