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

Mahdi Dehghan, Kamal Omidvar, Gholamali Mozafari and Ahmad Mazidi
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Ahmad Mazidi: Department of Geography, University of Yazd, Iran

International Journal of Environmental Sciences & Natural Resources, 2017, vol. 7, issue 4, 108-116

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.

Keywords: earth and environment journals; environment journals; open access environment journals; peer reviewed environmental journals; open access; juniper publishers; ournal of Environmental Sciences; juniper publishers journals; juniper publishers reivew (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:adp:ijesnr:v:7:y:2017:i:4:p:108-116

DOI: 10.19080/IJESNR.2017.07.555720

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