Comparison and Estimation of Four Infiltration Models

Atta-Darkwa, Thomas; Ofosu, Antwi Eric; Amankwah, Emmanuel; De-Graft, Ankamah Johnson; Ayine, Akolgo Gilbert; Austin, Asare; Alexander, Antwi

doi:10.4236/ojss.2020.102003

Cited by 21 publications

(17 citation statements)

References 10 publications

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“…In contrast, the Philip model performed better for coastal plain sands. Similar conclusions with regard to the Kostiakov model have been obtained at a global scale [55], for example, in Iran [56,57], India [58], China [59], and Nigeria [60].…”

Section: Introductionsupporting

confidence: 81%

Parameter Estimation and Assessment of Infiltration Models for Madjez Ressoul Catchment, Algeria

Dahak

Boutaghane

Merabtene

2022

Water

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Evaluation and modeling of soil water infiltration are essential to all aspects of water resources management and the design of hydraulic structures. Nonetheless, research focused on experimental studies of infiltration rates in arid and semi-arid regions under unknown boundary conditions remains minimal. This paper investigates the characteristics of the spatial variability of infiltration over a semi-arid rural basin of Algeria. The experiments were conducted using a portable double-ring infiltrometer filled at an equal volume of approximately 100 L of water for each of the 25 catchment locations. Soil moisture contents at the proximity of each test location were evaluated in the laboratory as per the standard NF P94–050 protocol. The experimental results are used to produce the catchment infiltration curves using three statistically fitted infiltration models, namely Horton, Kostiakov, and Philip models. The reliability of the models was assessed using four performance criteria. The statistical regressions of the fitted models suggest that the Horton model is the most suitable to assess the infiltration rate over the catchment with mean coefficients of Nash = 0.963, CC = 0.985, RMSE = 1.839 (cm/h), and Bias = 0.241. The superiority of the Horton model suggests that the initial and final infiltration rates, primarily affected by soil type, initial soil moistures, and land cover, are important predictors of the modeling process over the Madjez Ressoul catchment. The results also infer that the applicability of other models to the different types of undeveloped soils in the study area requires advanced field investigations. This finding will support the understanding of the hydrologic processes over semi-arid basins, especially in advising crop irrigation schemes and methods and managing the recurring flood and drought over the country.

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Section: Introductionsupporting

confidence: 81%

Parameter Estimation and Assessment of Infiltration Models for Madjez Ressoul Catchment, Algeria

Dahak

Boutaghane

Merabtene

2022

Water

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“…Several infiltration models, inter alia, Green–Ampt, Philip, Kostiakove or Horton, are available. A comparative performance evaluation of infiltration models is also a field of current interest, and Philip and Horton are reported to be the predominant performance models (Dahak et al, 2022; Shiraki et al, 2019; Singh et al, 2018; Thomas et al, 2020; Vand et al, 2018). In regard to estimating field‐based K s , Philip's model involves a fitted parameter related to some multiple of K s , whereas the value of the multiple varies from 0.3 to 0.7 (Philip, 1969).…”

Section: Introductionmentioning

confidence: 99%

Field‐scale measurements of soil physico‐chemical profiles of the Potohar region in the Indus basin of Pakistan

Malik

Ashraf

2023

Irrigation and Drainage

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Soil physico‐chemical properties are important for best management practices. We measured infiltration, bulk density, texture, water retention and chemical profiles from the surface to 1.0 m and lithology to 50 m depths at 30 sites. The infiltration data were fitted to the cumulative and infiltration rate models of Philip and Horton. The same sites were used for water retention, physico‐chemical properties and lithological assessment. The cumulative models fit persistently better than their infiltration rate forms. The Horton cumulative model fitted statistically better than the corresponding Philip model. The dominant steady‐state infiltration rates were 15–30 and 30–45 mm h−1 over the entire profile. Sandy loam, loam and silt loam were the dominant soils. The percentages of sandy loam decreased, whereas silt loam increased, with depth. Water retention parameters and lithological strata were diverse and in harmony with physiography. Soil organic matter varied up to 2.5%. No sodicity or salinity was detected except in sparse saline seeps. The central tendency and extrema of the measured parameters were compatible with the literature, and the CVs of the soil hydraulic parameters were greater than those of the physical parameters. Comprehensive data are presented, which will serve as an important reference for regional and global repositories.

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“…Philip model, the range of hydraulic conductivity from 0.66 to 39.4 m/day, with an average of 16 m/day. Thomas et al (2020) Besease is a predominantly farming area of the Ashanti Region in Ghana.…”

Section: Elfeki Et Al (2020)mentioning

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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Comparison and Estimation of Four Infiltration Models

Cited by 21 publications

References 10 publications

Parameter Estimation and Assessment of Infiltration Models for Madjez Ressoul Catchment, Algeria

Parameter Estimation and Assessment of Infiltration Models for Madjez Ressoul Catchment, Algeria

Field‐scale measurements of soil physico‐chemical profiles of the Potohar region in the Indus basin of Pakistan

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

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