Developing (IDF) Curves Models For Babylon City And Alluvial Fertile Zone, Iraq

Authors

  • Mustafa Hussein Abed AL-Dulaimi, Thair Jabbar Mizhir Alfatlawi, Weam Abdulwahhab Mohammed

Abstract

Rainfall is a complex nonlinear phenomenon, which requires nonlinear mathematical modeling for the purpose of prediction. The most prevalent techniques used to predict rainfall are numerical and statistical methods, despite a lot of research in this field, the successes of these models are rarely tangible.  The objective of this research is to develop (IDF) curves and derive an empirical formula to estimate the rainfall intensity at Babylon city by Frequency analysis techniques; Gumbel distribution and log Pearson type III distribution (LPT III). on the other hand, developing an empirical formula to estimate the rainfall intensity at fertile Tigris and Euphrates alluvial plain (CFZ) depending on the results of (IDF) curves at Babylon city  and  other cities that are within this region for previous studies.  Results obtained using the Gumbel distribution are slightly higher than results obtained with the LPT III distribution. nonparametric tests were used to determine the best distribution method. The regional coefficients values of the (IDF) formula and correlation coefficient for different return periods (2, 5, 10, 25, 50, 100 and 200) are calculated using the non-linear regression analysis. The results showed that the regression is very high and lower error tests, which indicates a high efficiency for formulas in estimate (IDF) curves at these regions.

Published

2020-02-29

Issue

Section

Articles