Estimation of Relationship Between Aerosol Optical Depth, PM10 and Visibility in Separation of Synoptic Codes, As Important Parameters in Researches Connected to Aerosols; Using Genetic Algorithm in Yazd

Abstract

Aerosol Optical Depth (AOD) is closely related to PM10 (mass concentration of particulate matter with aero dynamical diameter less than 10 μm) and visibility; and all of these three parameters are so important and useful to studies connected to aerosols, troposphere dust, air pollution and atmospheric radiation budget. This study analyzed the mathematic relations between AOD, PM10 and visibility whit separation of 05, 06 and 07 synoptic conditions; whit using evolutional Genetic Algorithm. The area’s case study has been Yazd city as representative of central of Iran for 5 years (2011-2015). The aim of this analysis has been to reach relations that can estimate lack quantities of mentions data parameters from another existence data whit the least error. To attain these mathematic relations, liner regression equation and several kind of famous function has been comparison; which the Polynomial function selected as the best fitness function. The conclusion of this study was four function based on polynomial liner model with 95% confidence bounds that presented. These presented equations are for estimate AOD from PM10 and visibility quantities in general condition; and in 05, 06 and 07 synoptic codes separations.