Arid
DOI10.1007/s12517-020-05413-8
Investigating regional distribution for maximum daily rainfall in arid regions: case study in Saudi Arabia
Abdeen, Wael M.1; Awadallah, Ayman G.2; Hassan, Nagy A.3
Corresponding AuthorHassan, Nagy A.
JournalARABIAN JOURNAL OF GEOSCIENCES
ISSN1866-7511
EISSN1866-7538
Year Published2020
Volume13Issue:13
Abstract in English

The hydrologists need effective procedures to assist them in predicting the implications related to high rainfall risks, both at gauged and ungauged areas. The first step for any assessment is estimating the rainfall values associated with various return periods in years. This information is obtained using rainfall frequency analysis techniques based on observed maximum daily rainfall values. The existence of a regional distribution for the rainfall frequency within a certain region is considered as a precious information for the hydrologists to estimate-with confidence-the expected rainfall at high return periods. The aim of this research is to determine the regional statistical distribution for various regions in Saudi Arabia. Saudi Arabia was selected to represent arid regions as it covers a large area of the Arabian Peninsula in addition to the availability of rainfall data compared with other similar countries. The data of 394 rainfall gauging stations were included in the study, which covers all Saudi Arabia in its 13 main regions. The data was analyzed using multiple frequency analysis methods and was subjected to various statistical tests including Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC), Anderson-Darling Criterion (AD), Station-Year Analysis, and Index Flood Method, in order to determine the best regional statistical distribution and define the homogenous regions using regional analysis. The study concluded that the Log-Pearson type III distribution was the best model to describe the distribution of the daily maximum rainfall in the region. Saudi Arabia was sub-divided into seven homogeneous regions. Contour maps for the 2-, 5-, 10-, 25-, 50-, and 100-year rainfall were produced to predict the rainfall at any point within the Kingdom of Saudi Arabia.


Keyword in EnglishMaximum daily rainfall Regional frequency analysis Homogenous Regions arid regions Saudi Arabia
SubtypeArticle
Language英语
CountryEgypt
Indexed BySCI-E
WOS IDWOS:000545622400003
WOS KeywordFLOOD FREQUENCY-ANALYSIS ; L-MOMENT ; PROBABILITY-DISTRIBUTIONS ; KINGDOM ; EXTREME ; CURVES ; EUROPE ; PARENT
WOS SubjectGeosciences, Multidisciplinary
WOS Research AreaGeology
Document Type期刊论文
Identifierhttp://119.78.100.177/qdio/handle/2XILL650/319402
Affiliation1.Ain Shams Univ, Irrigat & Hydraul Dept, Fac Engn, Cairo, Egypt;
2.Fayoum Univ, Fac Engn, Dept Civil Engn, Al Fayyum, Egypt;
3.Ain Shams Univ, Irrigat & Hydraul Dept, Fac Engn, Cairo, Egypt
Recommended Citation
GB/T 7714
Abdeen, Wael M.,Awadallah, Ayman G.,Hassan, Nagy A.. Investigating regional distribution for maximum daily rainfall in arid regions: case study in Saudi Arabia[J],2020,13(13).
APA Abdeen, Wael M.,Awadallah, Ayman G.,&Hassan, Nagy A..(2020).Investigating regional distribution for maximum daily rainfall in arid regions: case study in Saudi Arabia.ARABIAN JOURNAL OF GEOSCIENCES,13(13).
MLA Abdeen, Wael M.,et al."Investigating regional distribution for maximum daily rainfall in arid regions: case study in Saudi Arabia".ARABIAN JOURNAL OF GEOSCIENCES 13.13(2020).
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