Development of storm hyetographs for flood forecasting in the Kingdom of Saudi Arabia

Elfeki, Amro; Ewea, Hatem A.; Al-Amri, Nassir S.

doi:10.1007/s12517-013-1102-3

Cited by 30 publications

(16 citation statements)

References 6 publications

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“…It is characterized by extreme heat during the day, an abrupt drop in the temperature at night and slightly erratic precipitation. According to Elfeki et al (2014), the region of Asir (Figure 1) is subject to Indian Ocean monsoons, usually occurring between October and March. An average of 300 mm of rainfall occurs during this period (about 60% of the annual total).…”

Section: Climate and Rainfallmentioning

confidence: 99%

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Development of intensity–duration–frequency curves for the Kingdom of Saudi Arabia

Ewea

Elfeki

Al-Amri

2016

Geomatics, Natural Hazards and Risk

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This paper presents the derivation of the intensity-duration-frequency (IDF) curves for the Kingdom of Saudi Arabia. Such curves were obtained based on rainfall events measured in 28 meteorological stations distributed throughout the Kingdom. For 20-28 years period, 2027 rainfall storms of durations ranging from 10 min to 24 hours were collected and analyzed. Both Institute of Hydrology model (IH-Flood) and Excel-sheet program are used for developing IDF equations for every station. The method of least squares was used to get relationships for the parameters of the IDF formulas. The calculated goodness of fit shows strong correlations range between 0.99 and 0.98 for one of the parameters, and between 0.92 and 0.74 for the other parameters and thence indicating robust IDF formulas for practical use. Regionalization of the IDF parameters for the 13 distinct regions of the Kingdom has been developed. In addition, an average of IDF parameters is made over the Kingdom as a whole to be used in regions of no rainfall records. The resulting IDF curves are usually used for flood estimation in urban/rural watersheds. Using the resulting IDF curves is highly recommended for rigorous, efficient and safe design of hydraulic structures and flood protection works.

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Section: Climate and Rainfallmentioning

confidence: 99%

“…Following Elfeki et al (2014), KSA is divided into 13 districts. Each district has some recording rainfall gauges (Figure 1).…”

Section: Data Collectionmentioning

confidence: 99%

Development of intensity–duration–frequency curves for the Kingdom of Saudi Arabia

Ewea

Elfeki

Al-Amri

2016

Geomatics, Natural Hazards and Risk

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“…Huff curves are, therefore, a probabilistic representation of the ratio of cumulative precipitation heights to the corresponding cumulative durations (expressed as dimensionless) in the form of probability isopleths. Huff curves have found widespread use to analyze the variability of precipitation over time, performed, among others by Bonta and Rao [37], Pani and Haragan [38], Terranova and Iaquinta [39], Elfeki et al [40], and Pan et al [41]. Bonta at work [42] from 2004, presented in detail the methodology for creating Huff mass curves.…”

Section: Imm/δtmentioning

confidence: 99%

“…For comparative analyses of the shapes of 25 real (dimensional) precipitation histograms, it was necessary to develop standard Euler type II rainfall-from DDF/IDF curves for this station. The model of maximum precipitation amounts (9) was used to create DDF curves, from which precipitation heights were calculated for t = 5, 10,15,20,25,30,40,45,60,75,90,120, and 180 min and C = 1, 2, 5, and 10 years. It was necessary for the construction of 28 Euler models for seven durations: T = 30, 45, 60, 75, 90, 120, and 180 min (accepted values T, in terms of real precipitation duration and meeting the criterion of division into three equal parts), and in four frequency classes: C = 1, 2, 5, and 10 years.…”

Section: Verification Of Euler Type II Patternmentioning

confidence: 99%

Analysis of Hyetographs for Drainage System Modeling

Wartalska

Kaźmierczak

Nowakowska

et al. 2020

Water

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Modeling the reliability of storm water drainage systems encounters a number of methodological difficulties, especially in the selection of a reliable rainfall scenario. Many methods for creating reference hyetographs are described in the literature. The aim of the work was the analysis of the shapes of local precipitation hyetographs and the verification of the reference shapes of rainfall hyetographs used for the drainage systems designing and modeling its operation in Poland (Euler type II and DVWK models). The research material was represented by historical records of rainfall data from the measuring station located in Jelenia Góra (Poland). Rainfall were grouped due to the similarity of physical features, using various methodologies: Huff, cluster analysis using the Ward and k-means methods. The k-means method proved to be especially useful for selecting precipitation in terms of shape hyetographs. The statistical analysis of the similarity of the rainfall hyetograph shapes was performed within the separated genetic clusters, based on the parameters of mass distributions and unevenness over time. The comparative analysis allowed for the positive verification of the Euler type II and DVWK models for the tested station.

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“…The average rainfall depth over the watershed is also shown in Table 4. The disaggregation of the design rainfall depth was achieved through the application of the method developed by Elfeki et al (2014), as shown in Figure 5(a). The method is suitable for the areas where thunderstorms occur dominantly and the peak burst of the precipitation is close to the start of the storm.…”

Section: Rainfall Analysismentioning

confidence: 99%

Flash flood risk assessment in urban arid environment: case study of Taibah and Islamic universities’ campuses, Medina, Kingdom of Saudi Arabia

Abdulrazzak

Elfeki

Kamis

et al. 2019

Geomatics, Natural Hazards and Risk

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Flooding impacts can be reduced through application of suitable hydrological and hydraulic tools to define flood zones in a specific area. This article proposes a risk matrix technique which is applied on a case study of Taibah and Islamic universities catchment in Medina, Kingdom of Saudi Arabia (KSA). The analysis is based on integration of the hydrologic model hydraulic models to delineate the flood inundation zones. A flood risk matrix is developed based on the flood occurrence probability and the associated inundation depth. The risk matrix criterion is classified according to the degree of risks as high, moderate and low. The case study has indicted low to moderate risk for flood frequencies of 5 years return periods and moderate to high risk may exist for flood with rerun period of 50 and 100 years. The results are projected on a two-dimensional satellite images that shows the geographical locations exposed to flooding. A quantitative summary of the results have been presented graphically to estimate the magnitude of the inundation areas that can assess the degree of damage and its economic aspects. The developed flood risk matrix tool is a quantitative tool to assess the damage which is crucial for decision makers. ARTICLE HISTORY

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Development of storm hyetographs for flood forecasting in the Kingdom of Saudi Arabia

Cited by 30 publications

References 6 publications

Development of intensity–duration–frequency curves for the Kingdom of Saudi Arabia

Development of intensity–duration–frequency curves for the Kingdom of Saudi Arabia

Analysis of Hyetographs for Drainage System Modeling

Flash flood risk assessment in urban arid environment: case study of Taibah and Islamic universities’ campuses, Medina, Kingdom of Saudi Arabia

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