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Modeling the Amount of Pollutants Ozone Using Moments Method and Generalized Extreme Value Distribution
Author(s) -
Mohammed Mohammed El Genidy,
Aya Kamal Ali
Publication year - 2016
Publication title -
asian journal of scientific research
Language(s) - English
Resource type - Journals
eISSN - 2077-2076
pISSN - 1992-1454
DOI - 10.3923/ajsr.2016.143.151
Subject(s) - pollutant , generalized extreme value distribution , environmental science , ozone , value (mathematics) , distribution (mathematics) , extreme value theory , method of moments (probability theory) , statistics , mathematics , ecology , meteorology , geography , biology , mathematical analysis , estimator
Background: Air pollution is a major reason of the depletion of the ozone which allows harmful rays to reach the earth's surface. The problem is how to create a mathematical model by determining the appropriate distribution function for the quantities of the pollutants ozone in the Tenth of Ramadan city of Zagazig province at Egypt. Methodology: In this study, the moment’s method, the properties of the cumulative distribution function and Anderson-Darling test were applied to determine. Results: The best values of the parameters of the generalized extreme value distribution. Conclusion: Moreover, the extreme values and statistical measurements were obtained with high accuracy.

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