Assessment of relationship between PM10, PM2. 5 and visibility in separation of synoptic codes, using Genetic Algorithm in Yazd

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DEHGHAN M.; OMIDVAR K.; MOZAFFARI GH.; MAZIDI A.; FATEMI M.

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Journal: Journal of Arid Biome Year:2019 | Volume:8 | Issue:2 Page(s): 77-90

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Title

Assessment of relationship between PM10, PM2. 5 and visibility in separation of synoptic codes, using Genetic Algorithm in Yazd

Author(s)

Keywords

PM10Q1

PM2.5Q1

VisibilityQ1

Genetic AlgorithmQ2

Polynomial functionQ1

YazdQ2

Abstract

PM2. 5, (PM10) and Visibility are known as three important parameters in researches connected to the tropospheric aerosols and dusts, so that the air pollution is related to those at the specific time. The aim of this study is analyzing the relationship between PM2. 5, PM10 and Visibility using evolutional Genetic Algorithm. The area’ s case study was Yazd city as representative of central of Iran. PM2. 5 data and also visibilities data 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 Protection Agency has been catches. To reach mentioned mathematic relations, liner regression equation, and Weibull, Rational, Power, Polynomial, Exponential, Liner, Fourier and Gaussian functions has been comparison; which based on relative and Sum Square Error and also coefficient correlation, Polynomial function selects as the best fitness function. The results of this research were four equation based on liner model of Polynomial function in 95% confidence level, for estimating the relations between PM2. 5, PM10 and Visibility in general; and also when to happen 05, 06 and 07 synoptic conditions.

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APA: Copy

DEHGHAN, M., OMIDVAR, K., MOZAFFARI, GH., MAZIDI, A., & FATEMI, M.. (2019). Assessment of relationship between PM10, PM2. 5 and visibility in separation of synoptic codes, using Genetic Algorithm in Yazd. ARID BIOM SCIENTIFIC AND RESEARCH JOURNAL, 8(2 ), 77-90. SID. https://sid.ir/paper/378335/en

Vancouver: Copy

DEHGHAN M., OMIDVAR K., MOZAFFARI GH., MAZIDI A., FATEMI M.. Assessment of relationship between PM10, PM2. 5 and visibility in separation of synoptic codes, using Genetic Algorithm in Yazd. ARID BIOM SCIENTIFIC AND RESEARCH JOURNAL[Internet]. 2019;8(2 ):77-90. Available from: https://sid.ir/paper/378335/en

IEEE: Copy

M. DEHGHAN, K. OMIDVAR, GH. MOZAFFARI, A. MAZIDI, and M. FATEMI, “Assessment of relationship between PM10, PM2. 5 and visibility in separation of synoptic codes, using Genetic Algorithm in Yazd,” ARID BIOM SCIENTIFIC AND RESEARCH JOURNAL, vol. 8, no. 2 , pp. 77–90, 2019, [Online]. Available: https://sid.ir/paper/378335/en

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