TY  - BOOK
AU  - Abd El Rahman Mohamed Reda Aly Hassan, 
AU  - Ahmed Mohamed Helmi 
AU  - Mohamed Hassan Algamal 
TI  - Assessment of the impact of rainfall data gap filling on flood mitigation design storms
U1  - 627.05 
PY  - 2025///
KW  - Hydraulic engineering
KW  - الهندسة الهيدروليكية
KW  - Frequency Analysis
KW  - Parameter Estimation
KW  - KSA
KW  - Oman
KW  - Gap Filling
N1  - Thesis (M.Sc)-Cairo University, 2025; Bibliography: pages 107-110.; Issues also as CD
N2  - 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
ER  -