Statistical analysis of NRCS curve number (NRCS-CN) in arid basins based on historical data

Farran, Mohammed M.; Elfeki, Amro

doi:10.1007/s12517-019-4993-9

Cited by 17 publications

(3 citation statements)

References 20 publications

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“…Many studies have questioned the validity and applicability of λ = 0.2, where it has been proved that the most realistic value is less than the standard value, ranging from 0.01 to 0.05 (D'Asaro et al, 2014; Farran & Elfeki, 2020a and Yuan et al, 2014). In the study basins, Farran and Elfeki (2020a) proved that λ = 0.01 is accurately representative of basins in the SA arid environment. It has also been confirmed by other studies (Farran & Elfeki, 2021).…”

Section: Methodsmentioning

confidence: 99%

“…The reason these values are high is that the phi (Ф) index method does to take into consideration the initial abstractions in the basins. Recently, some flash flood studies have been carried out in the study basins, which have focused on the estimation of transmission losses (Elfeki et al, 2014), modelling of flash floods incorporating transmission losses (Noor & Elfeki, 2017), curve number (CN) estimation from field measurements (Farran & Elfeki, 2020a, 2020b, 2020c) estimation of CN from infiltration tests (Elfeki et al, 2020). De Vries and Simmers (2002) stated that despite the numerous studies on the determination of recharge fluxes in arid and semi‐arid regions remain subject to uncertainty.…”

Section: Introductionmentioning

confidence: 99%

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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: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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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“…The value of λ = 0.2 is insufficient to represent the initial abstraction ratio in an arid environment [25,26]. Farran et al [27] studied that λ = 0.01 is appropriate to represent the basin in Saudi Arabia.…”

Section: Surface Water Modelingmentioning

confidence: 99%

Integrated Surface Water and Groundwater Modeling in Arid Environment, Al-Lusub Watershed, Saudi Arabia

Al-Amri

Budiman

Elfeki

2022

Water

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Coupling surface and groundwater for a better understanding of the hydrologic response in arid basins is essential for managing water resources. The study aims to integrate surface water (SW) and groundwater (GW) modeling in an arid environment and to identify groundwater sources at Hadat Ash-Sham farm station in the Al-Lusub watershed, located in the western part of Saudi Arabia. The curve number (CN) method for SW modeling is primarily used to estimate GW potential recharge based on a developed correlation equation between event-based rainfall and potential recharge, which is processed in the Hydrologic Engineering Center-Hydrologic Modeling System (HEC-HMS) software. Monthly potential recharge is utilized to compute GW modeling in MODFLOW. Van Mullem’s equation is used to calculate hydraulic conductivity (K) from CN. The calibration of steady-state GW modeling reveals that the K (from Van Mullem’s equation) is within the range of measured K in the field. The transient groundwater modeling phase concludes that the groundwater system in the Al-Lusub watershed can be interpreted based on two different scenarios. The first is that an extra recharge from a nearby watershed flows through the geological structure into a downstream area. The second scenario involves potential recharge from surface water flowing on the Al-Lusub watershed’s mainstream bed. Validation reveals a strong relationship between predicted and observed water tables. The root mean square error (RMSE) for Scenarios 1 and 2 are 0.6 m and 0.7 m, respectively. Further investigation is needed to determine the region’s most common scenario.

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GIS-based slope-adjusted curve number methods for runoff estimation

Forootan

2023

Environ Monit Assess

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Statistical analysis of NRCS curve number (NRCS-CN) in arid basins based on historical data

Cited by 17 publications

References 20 publications

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

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

Integrated Surface Water and Groundwater Modeling in Arid Environment, Al-Lusub Watershed, Saudi Arabia

GIS-based slope-adjusted curve number methods for runoff estimation

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