Statistical analysis of extreme monthly rainfall in Basrah city, south of Iraq

Abstract EN

The data set of highest monthly rainfall for Basrah station, south of Iraq, for 75-given years for period (1900-2000) with missing data for (1959-1979) provided the required data to identify the proper theoretical statistical distribution.

A demonstration version of HYFRAN for windows software is used to fit the available data set.

Six distributions are selected to carry this study including: Normal, Lognormal, 3-parameters lognormal, Pearson type III, Log Pearson type III, and Gumbal.

Maximum likelihood method is selected to estimate theoretical distribution parameters.

Adequacy test is conducted using Chi-square test.

Results indicate that Pearson type III and Gumbal distributions are the proper for describe maximum monthly rainfall in the area being examined.