Empirical equations for flood analysis in arid zones: the Ari-Zo model

Albishi, Mohammad; Bahrawi, Jarbou; Elfeki, Amro

doi:10.1007/s12517-017-2832-4

Cited by 13 publications

(19 citation statements)

References 7 publications

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“…Since the Ф‐index does not take into account the initial abstraction losses, the infiltration results based on the Ф‐index is high. A similar high value is also obtained by Albishi et al (2017) which is about 91% in Yiba and Al Lith basins based on the Ф‐index method. The aforementioned discussion leads to the fact that the value of 77% is logical since it takes into account the initial abstraction losses and transmission losses that are included in the calculations at λ = 0.01.…”

Section: Resultssupporting

confidence: 85%

“…This range is higher than the values obtained from the NRCS mass balance model (77% at λ = 0.01) and very far from the value of 39% at = 0.2. The values of k = 89.3% and 96.5% are in the same order of magnitude of the results of Allam and Balkhair (1987) using the Ф index method in the Yiba basin (93%) and Albishi et al (2017) in Yiba and Al Lith basins based on the Ф index method (91%). Both the rational and the Ф index methods agree with each other's since they do not consider the effect of initial abstraction losses.…”

Section: Resultssupporting

confidence: 76%

“…Since the Ф-index does not take into account the initial abstraction losses, the infiltration results based on the Ф-index is high. A similar high value is also obtained by Albishi et al (2017) 3). However, for λ = 0.2, it is F = 39% P at the event time scale, F = 39% P at the monthly time scale, and F = 35% P at the annual time scale (see Table 3).…”

Section: Estimating the Volume Of The Runoff Hydrographs By Integratingsupporting

confidence: 85%

“…and Albishi et al (2017) in Yiba and Al Lith basins based on the Ф index method (91%). Both the rational and the Ф index methods agree with each other's since they do not consider the effect of initial abstraction losses.…”

Section: Estimating the Volume Of The Runoff Hydrographs By Integratingmentioning

confidence: 99%

“…The resulting runoff hydrographs are sharp in the overall shape, having steep and sharp rising limbs and quickly decreasing falling limbs. These features are typical of the Saudi arid environment(Albishi, 2015;Albishi et al, 2017;Noor & Elfeki, 2017). The base time of the hydrographs varies from 4 h (Station N404 on 5 April 1985 in Habawnah basin) to 22 h (Station SA424 on 15 August 1985 in Yiba basin) depending on the amount of the rainfall in the storm and the topographical and morphological shapes of the basin.…”

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confidence: 96%

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Aquifer recharge from flash floods in the arid environment: A mass balance approach at the catchment scale

Farran

Al-Amri

Elfeki

2021

Hydrological Processes

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Estimation of the infiltration/natural recharge to groundwater from rainfall is an important issue in hydrology, particularly in arid regions. This paper proposes the application of The Natural Resources Conservation Service (NRCS) mass balance model to develop infiltration (F)-rainfall (P) relationship from flash flood events.Moreover, the NRCS method is compared with the rational and the Ф-index methods to investigate the discrepancies between these methods. The methods have been applied to five gauged basins and their 19 sub-basins (representative basins with detailed measurements) in the southwestern part of Saudi Arabia with 161 storms recorded in 4 years. The F-P relationships developed in this study based on NRCS method are: F = 39% P with R 2 = 0.932 for the initial abstraction factor, λ = 0.2. However, F = 77% P with R 2 = 0.986 for λ = 0.01. The model at λ = 0.01 is the best to fit the data, therefore, it is recommended to use the formula at λ = 0.01. The results show that the NRCS model is appropriate for the estimation of the F-P relationships in arid regions when compared with the rational and the Ф index methods.The latter overestimates the infiltration because they do not take λ into account.There is no significant difference between F-P relationships at different time scales. This helps the prediction of infiltration rates for aquifer recharge at ungauged basins from monthly and annual rainfall data with a single formula.

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Section: Resultssupporting

confidence: 85%

Section: Resultssupporting

confidence: 76%

Section: Estimating the Volume Of The Runoff Hydrographs By Integratingsupporting

confidence: 85%

Section: Estimating the Volume Of The Runoff Hydrographs By Integratingmentioning

confidence: 99%

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confidence: 96%

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