Variability and Frequency of Daily Rainfall in Riyadh, Saudi Arabia

This study examines the temporal and spatial distribution of rainfall in the city of Riyadh, Saudi Arabia's capital. The city has experienced significant urbanization in the past two decades. Therefore, the impervious surfaces and the restriction of original surface flow routes increase runoff in Riyadh city. Thus, stormwater frequently accumulates in streets because it exceeds the storm sewer capacity, storm sewers are blocked or partially blocked by sediment, or due to the lack of storm sewers. Data from three climatic stations in Riyadh and north of the city are used to characterize the temporal and spatial variations of rainfall amounts and to determine the frequency of annual maximum values of one-day-duration rainfall in the city. The results reveal that Riyadh exhibits spatial and temporal variability, and the derived Extreme Value Type I (EVI) probability distributions have been found to fit the 24-hour annual maximum rainfall at a level of significance greater than 0.20, implying a satisfactory fit.

Publication Details

Journal
DigitalCommons - Kennesaw State University (Kennesaw State University)
Published
2025-01-15
Primary Topic
Orbital Angular Momentum in Optics
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article
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article

Variability and Frequency of Daily Rainfall in Riyadh, Saudi Arabia

DigitalCommons - Kennesaw State University (Kennesaw State University)
Orbital Angular Momentum in Optics
article

Variability and Frequency of Daily Rainfall in Riyadh, Saudi Arabia

article en

Abstract

This study examines the temporal and spatial distribution of rainfall in the city of Riyadh, Saudi Arabia's capital. The city has experienced significant urbanization in the past two decades. Therefore, the impervious surfaces and the restriction of original surface flow routes increase runoff in Riyadh city. Thus, stormwater frequently accumulates in streets because it exceeds the storm sewer capacity, storm sewers are blocked or partially blocked by sediment, or due to the lack of storm sewers. Data from three climatic stations in Riyadh and north of the city are used to characterize the temporal and spatial variations of rainfall amounts and to determine the frequency of annual maximum values of one-day-duration rainfall in the city. The results reveal that Riyadh exhibits spatial and temporal variability, and the derived Extreme Value Type I (EVI) probability distributions have been found to fit the 24-hour annual maximum rainfall at a level of significance greater than 0.20, implying a satisfactory fit.

DigitalCommons - Kennesaw State University (Kennesaw State University)
Sustainable cities and communities
Openalex Percentile: Top 51%
Orbital Angular Momentum in Optics
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