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العنوان
Estimation of Extreme Rainfall Events in Egypt /
المؤلف
Salama, Abeer Mohamed Abdallah Hassan.
هيئة الاعداد
باحث / Abeer Mohamed Abdallah Hassan Salama
مشرف / Bakenaz A. Zeidan
مشرف / Tamer A. Gado
مشرف / لايوجد
الموضوع
Irrigation and Hydraulics Engineering.
تاريخ النشر
2020.
عدد الصفحات
p 109. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الهندسة
تاريخ الإجازة
17/8/2020
مكان الإجازة
جامعة طنطا - كلية الهندسه - هندسة الرى والهيدروليكا
الفهرس
Only 14 pages are availabe for public view

from 133

from 133

Abstract

Selection of a suitable probability distribution and associated parameter estimation method is an important step in Rainfall Frequency Analysis (RFA). Several probability distributions and parameter estimation methods have been developed to model extreme rainfall events in different regions in the world. In this study, ten probability distributions are evaluated to identify the most suitable model that could provide accurate extreme rainfall estimates in Egypt. These distributions are: Normal (N), Log-Normal (LN), Gumbel (GUM), Pearson Type III (PIII), Log-Pearson Type III (LPIII),