Thesis (M.Sc)-Cairo University, 2025.

Bibliography: pages 107-110.

A methodology for conducting rainfall frequency analysis across several ground
gauge stations in Oman and KSA is presented. The main goal is to assess how the
accuracy of rainfall frequency analysis which is crucial for hydrological modeling
in the field of flood mitigation is affected by the use of gridded data and gap-filling
techniques that have already been used. The study includes the collection of rainfall
data from a range of rainfall stations within the study areas. Advanced gap-filling
methods, implemented by prior researchers, were used to fill the missing data of
some years and ensure the continuity of records. Additionally, A gridded data
produced from the gap filled data, which offers continuous spatial coverage, was
analyzed in comparison to assess its effectiveness.
A practical developed software named BRF was introduced. Through parallel
computing, BRF makes it possible to process large rainfall datasets efficiently. This
allows for simultaneous frequency analysis and statistical distribution fitting
across massive amounts of station data. This tool greatly simplifies the analysis of
big datasets, which is especially helpful for hydrologists doing regional rainfall
studies and experts updating drainage manuals. BRF’s key features include its
capability to perform comparisons of different statistical distributions both
analytically and graphically, as well as generating IDF curves for selected statistical
distributions for all stations an essential aspect for stormwater design and flood risk.

تقدم هذه الدراسة منهجية شاملة لتحليل تكرار الأمطار عبر محطات أرصاد متعددة في السعودية وعُمان، مع التركيز على تأثير تقنيات ملء الفجوات وتحويل البيانات لشبكة. تم جمع ومعالجة بيانات الأمطار، بما في ذلك البيانات المملوءة سابقًا، لضمان استمرارية التحليل. كما تم مقارنة البيانات الشبكية بالملاحظات التقليدية لتقييم دقتها. تم تطوير أداة Bulk Rain Fit (BRF) لتسهيل تحليل البيانات الضخمة باستخدام الحوسبة المتوازية، مما يعزز دقة تلاؤم التوزيعات الإحصائية. توفر BRF مقارنات بين التوزيعات المختلفة، وتنتج منحنيات شدة-مدة-تكرار (IDF)، مما يدعم تصميم بنية تصريف المياه وتقييم مخاطر الفيضانات.

Issues also as CD.

Text in English and abstract in Arabic & English.