Evaluation and validity of the antecedent moisture condition (AMC) of Natural Resources Conservation Service-Curve Number (NRCS-CN) procedure in undeveloped arid basins

Farran, Mohammed M.; Elfeki, Amro

doi:10.1007/s12517-020-5242-y

Cited by 13 publications

(3 citation statements)

References 29 publications

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“…Improvements in the available conversion equations for AMCs, which were prepared in non‐arid environments (Farran & Elfeki, 2020), may be beneficial to refine runoff estimations using the SCS‐CN method. Finally, since the SCS‐CN method does not reproduce the changes in soil properties owing to management or other factors, more studies may improve the model simulation of temporal evolution of soil properties (Romero et al, 2007).…”

Section: Resultsmentioning

confidence: 99%

Modelling the event‐based hydrological response of olive groves on steep slopes and clayey soils under mulching and tillage management using the SCS‐CN, Horton and USLE‐family models

Bombino

Denisi

Gómez

et al. 2022

Soil Use and Management

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The SCS-CN, Horton and USLE-family models are used worldwide, but few examples are available for olive groves on steep and clayey soils under mulching of pruning residues. We evaluate the accuracy in predicting runoff and soil loss of a steep (20%) and clayey olive grove subject to three soil conservation practices: mechanical tillage (MT), mulching with pruning residues (NTR) and standard protection (SP), measured at plot scale in Southern Italy during 30 months under natural rainfall. The models were calibrated by adjusting the Curve Numbers (for the SCS-CN model) and the C-factors (MUSLE and USLE-M); the Horton model was not calibrated. The model performance was assessed by qualitative and quantitative procedures. In all practices, the SCS-CN was more accurate for runoff predictions (mean difference of 7% compared with corresponding observations) compared with the Horton (mean difference of 30%). For soil erosion, the MUSLE showed better performance in soils subject to MT or total protection (differences lower than 10%), while the USLE-M was more reliable to simulate soil loss in mulched plots (differences of 8%). A set of Curve Numbers (95 for MT, 70 for SP and 85 for NTR) and C-factors (0.4 for MT, 0.2 for SP and 0.1 for NTR) are proposed for applications in steep slope and clayey soil olive orchards using the SCS-CN and USLE proposed models, respectively. Validation exercises in other environmental experimental conditions would enhance the export these models for runoff and erosion control in agricultural soils treated with mulching.

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Section: Resultsmentioning

confidence: 99%

Modelling the event‐based hydrological response of olive groves on steep slopes and clayey soils under mulching and tillage management using the SCS‐CN, Horton and USLE‐family models

Bombino

Denisi

Gómez

et al. 2022

Soil Use and Management

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“…Estimation of concentration-time from rational methods that have been developed includes the Kerby approach [9], Kirpich [10], Manning's [11], Bransby Williams [11], Federal Aviation Agency (FAA) [12], and Natural Resources Conservation Service (NRCS) [13]. To the best of our knowledge, investigations related to this concentration-time approach to the accuracy of runoff estimation by the rational method had not been carried out.…”

Section: Introductionmentioning

confidence: 99%

Modeling of Surface Runoff Estimation in Tropical Palm Dates Plantations: A Case Study in Aceh Province, Indonesia

Devianti¹,

Syahrul²,

Kamisna³

et al. 2022

MMEP

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One of the most popular surface runoff estimation methods is the rational method. Unfortunately, this method has several concentration-time approaches that have been developed, as one of the parameters, which are specific to the environment to increase the accuracy of the runoff estimation. Therefore, this study aims to estimate surface runoff using a rational method with several concentration-time approaches in order to obtain the best accuracy in tropical palm dates plantations in Aceh Province, Indonesia. The concentration-time approaches studied were Kerby, Kirpich, Manning, Bransby Williams, Federal Aviation Agency (FAA), and Natural Resources Conservation Service (NRCS). This research was conducted by making a test plot in the plantation with the length, width, and slope of 22 m, 4 m, and 25%, respectively. Each side of the test plot is given a barrier plate with a height of 15 cm and embedded as deep as 30 cm. In addition, on the bottom side, there is a runoff collection tank with a capacity of 50 L. The physical properties of the soil on the test plots in the form of structure, texture, porosity, permeability, and organic C were granular, sandy loam, 0.43%, 1.84 cm/day, and 1.25%, respectively. The test was carried out from March to November 2020 with 37 days of rain. The results of this study indicate that there are significant differences between each concentration-time approach being tested. The best runoff estimation uses the Bransby William method in units of l/hr with the root mean square of 7.95.

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“…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%

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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Evaluation and validity of the antecedent moisture condition (AMC) of Natural Resources Conservation Service-Curve Number (NRCS-CN) procedure in undeveloped arid basins

Cited by 13 publications

References 29 publications

Modelling the event‐based hydrological response of olive groves on steep slopes and clayey soils under mulching and tillage management using the SCS‐CN, Horton and USLE‐family models

Modelling the event‐based hydrological response of olive groves on steep slopes and clayey soils under mulching and tillage management using the SCS‐CN, Horton and USLE‐family models

Modeling of Surface Runoff Estimation in Tropical Palm Dates Plantations: A Case Study in Aceh Province, Indonesia

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

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