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Journal articles on the topic 'Green and Ampt'

Author: Grafiati

Published: 4 June 2021

Last updated: 19 February 2022

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1

Barry, D. A., J. Y. Parlange, L. Li, D. S. Jeng, and M. Crapper. "Green–Ampt approximations." Advances in Water Resources 28, no. 10 (October 2005): 1003–9. http://dx.doi.org/10.1016/j.advwatres.2005.03.010.

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2

Gan, Yong De, Yang Wen Jia, and Kang Wang. "Modeling Infiltration-Runoff under Multi-Layered Soil during Rainfall." Advanced Materials Research 864-867 (December 2013): 2392–402. http://dx.doi.org/10.4028/www.scientific.net/amr.864-867.2392.

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The generalized Green-Ampt models, based on the Green-Ampt approach, is suitable for simulating infiltration into layered soils during unsteady rainfall, however, there are still some problems with using this approach. The objective of this paper is to improve the generalized Green-Ampt model, and then evaluate the performance of the generalized Green-Ampt model in modeling the infiltration-runoff into multi-layered soil during rain. Firstly, based on the generalized Green-Ampt model, we propose and improvement to the generalized Green-Ampt model to overcome deficiencies in it. Then, one-dimensional infiltration-runoff experiments during rainfall were performed in multi-layered soil columns, and the runoff rate, cumulative infiltration and wetting front distance from soil surface were calculated with the modified generalized Green-Ampt model, and compared with the observed data in the experiments. The results indicate that the modified generalized Green-Ampt model predicts the multi-layered soil infiltration-runoff process well.

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3

Van Mullem, J. A. "Precipitation Distributions and Green‐Ampt Runoff." Journal of Irrigation and Drainage Engineering 117, no. 6 (November 1991): 944–59. http://dx.doi.org/10.1061/(asce)0733-9437(1991)117:6(944).

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4

Ogden, Fred L., and Bahram Saghafian. "Green and Ampt Infiltration with Redistribution." Journal of Irrigation and Drainage Engineering 123, no. 5 (September 19, 1997): 386–93. http://dx.doi.org/10.1061/(asce)0733-9437(1997)123:5(386).

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5

Ali, Shakir, Adlul Islam, P. K. Mishra, and Alok K. Sikka. "Green-Ampt approximations: A comprehensive analysis." Journal of Hydrology 535 (April 2016): 340–55. http://dx.doi.org/10.1016/j.jhydrol.2016.01.065.

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6

Thooyamani, K. P., and D. I. Norum. "Explicit infiltration equations based on the Green–Ampt model." Canadian Journal of Civil Engineering 14, no. 5 (October 1, 1987): 710–13. http://dx.doi.org/10.1139/l87-103.

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The Green–Ampt infiltration equations are based on physical parameters of the soil that can be either measured or calculated reasonably easily. However, neither the infiltration rate equation nor the cumulative depth of infiltration equation is in a form that can be used easily in hydrologic modeling, as both equations are in an implicit form when time is the independent variable. Therefore iterative procedures must be used to find either the infiltration rate or cumulative depth at a specific time.Explicit infiltration equations have been developed, based on the Green–Ampt infiltration model. These equations describe the infiltration rate and the cumulative depth of infiltration with a maximum deviation from the Green–Ampt equations of 2.5% for any time. The derived equations have been put in dimensionless form by choosing appropriate length and time scales. Approximate values for the length and time scales for 11 different soil textures, ranging from sand to clay, are given. Key words: infiltration, Green–Ampt explicit equations, hydrology, hydrologic models, surface irrigation, surface irrigation models.

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7

Stone, Jeffry J., Richard H. Hawkins, and Edward D. Shirley. "Approximate Form of Green‐Ampt Infiltration Equation." Journal of Irrigation and Drainage Engineering 120, no. 1 (January 1994): 128–37. http://dx.doi.org/10.1061/(asce)0733-9437(1994)120:1(128).

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8

Ward, Tim J. "Approximate Form of Green-Ampt Infiltration Equation." Journal of Irrigation and Drainage Engineering 121, no. 4 (July 1995): 311. http://dx.doi.org/10.1061/(asce)0733-9437(1995)121:4(311).

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9

Stewart, Ryan D. "A Dynamic Multidomain Green-Ampt Infiltration Model." Water Resources Research 54, no. 9 (September 2018): 6844–59. http://dx.doi.org/10.1029/2018wr023297.

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10

Loáiciga, Hugo A., and Allison Huang. "Ponding Analysis with Green-and-Ampt Infiltration." Journal of Hydrologic Engineering 12, no. 1 (January 2007): 109–12. http://dx.doi.org/10.1061/(asce)1084-0699(2007)12:1(109).

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11

Wang, L. L., D. H. Chen, Z. J. Li, and L. N. Zhao. "Coupling Green-Ampt infiltration method and two-dimensional kinematic wave theory for flood forecast in semi-arid catchment." Hydrology and Earth System Sciences Discussions 8, no. 4 (August 24, 2011): 8035–61. http://dx.doi.org/10.5194/hessd-8-8035-2011.

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Abstract. Due to the specific characteristics of semi-arid catchments, this paper aims to establish a grid-and-Green-Ampt-and-two-dimensional-kinematic-wave-based distributed hydrological physical model (Grid-GA-2D model) coupling Green-Ampt infiltration method and two dimensional overland flow routing model based on kinematic wave theory for flood simulation and forecasting with using GIS technology and digital elevation model (DEM). Taking into consideration the soil moisture redistribution at hillslope, Green-Ampt infiltration physical method is applied for grid-based runoff generation and two-dimensional implicit finite difference kinematic wave model is introduced to solve depressions water storing for grid-based overland flow concentration routing in the Grid-GA-2D model. The Grid-GA-2D model, the Grid-GA model with coupling Green-Ampt infiltration method and one-dimension kinematic wave theory, and Shanbei model were employed to the upper Kongjiapo catchment in Qin River, a tributary of the Yellow River, with an area of 1454 km2 for flood simulation. Results show that two grid-based distributed hydrological models perform better in flood simulation and can be used for flood forecasting in semi-arid catchments. Comparing with the Grid-GA model, the flood peak simulation accuracy of the newly developed model is higher.

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12

Dockhorn, Wendler De Almeida, Virnei Silva Moreira, Silvana Maldaner, Jaqueline Prunzel, Vanessa Silva Moreira, and Debora Regina Roberti. "ESTIMATIVA DA INFILTRAÇÃO DA ÁGUA EM UM SOLO DE VÁRZEA ATRAVÉS DO MODELO DE GREEN-AMPT COM AJUSTES DE PARÂMETROS." Ciência e Natura 38 (July 20, 2016): 556. http://dx.doi.org/10.5902/2179460x20309.

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The need to find a model that describes the process of water infiltration into the soil which could be more closer to the reality is extremely important, especially considering the physical characteristics of a soil has, because a better understanding of this process is of fundamental importance for the efficient management of soil and water in agricultural crops. This study aims to validate the model of Green-Ampt in a rice-growing area. The experiment was conducted in the experimental site of Paraíso do Sul - RS, where soil samples were collected for physical analysis and used the double ring infiltrometer to obtain the values of cumulative infiltration. The results obtained through the Green-Ampt model did not generate acceptable results for application. With the development of the work, it was concluded that for the implementation of Green-Ampt model it is necessary to find a new parameter setting proposal that can describe the process of infiltration to the soil type studied.

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13

Nearing, M. A., B. Y. Liu, L. M. Risse, and X. Zhang. "CURVE NUMBERS AND GREEN-AMPT EFFECTIVE HYDRAULIC CONDUCTIVITIES." Journal of the American Water Resources Association 32, no. 1 (February 1996): 125–36. http://dx.doi.org/10.1111/j.1752-1688.1996.tb03440.x.

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14

Almedeij, J., and I. I. Esen. "Modified Green-Ampt Infiltration Model for Steady Rainfall." Journal of Hydrologic Engineering 19, no. 9 (September 2014): 04014011. http://dx.doi.org/10.1061/(asce)he.1943-5584.0000944.

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15

Baiamonte, Giorgio. "SCS Curve Number and Green-Ampt Infiltration Models." Journal of Hydrologic Engineering 24, no. 10 (October 2019): 04019034. http://dx.doi.org/10.1061/(asce)he.1943-5584.0001838.

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16

Lee, Sanghyun, Maria L. Chu, and Arthur R. Schmidt. "Effective Green-Ampt Parameters for Two-Layered Soils." Journal of Hydrologic Engineering 25, no. 4 (April 2020): 04020004. http://dx.doi.org/10.1061/(asce)he.1943-5584.0001897.

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17

Killen, M. A., and D. C. Slack. "Green‐Ampt—Model to Predict Surge Irrigation Phenomena." Journal of Irrigation and Drainage Engineering 113, no. 4 (November 1987): 575–84. http://dx.doi.org/10.1061/(asce)0733-9437(1987)113:4(575).

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18

ESEN, ISMAIL I. "ESTIMATION OF GREEN-AMPT PARAMETERS FROM INFILTROMETER DATA." Soil Science 147, no. 4 (April 1989): 231–37. http://dx.doi.org/10.1097/00010694-198904000-00001.

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19

Serrano, Sergio E. "Explicit Solution to Green and Ampt Infiltration Equation." Journal of Hydrologic Engineering 6, no. 4 (August 2001): 336–40. http://dx.doi.org/10.1061/(asce)1084-0699(2001)6:4(336).

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20

Serrano, Sergio E. "Improved Decomposition Solution to Green and Ampt Equation." Journal of Hydrologic Engineering 8, no. 3 (May 2003): 158–60. http://dx.doi.org/10.1061/(asce)1084-0699(2003)8:3(158).

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21

Dahdouh, Yacina, and Lahbassi Ouerdachi. "Assessment of two loss methods for estimation of surface runoff in Zaafrania urban catchment, North-East of Algeria." Journal of Water and Land Development 36, no. 1 (March 1, 2018): 37–43. http://dx.doi.org/10.2478/jwld-2018-0004.

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AbstractSurface runoff is a major problem in urban catchments; its generation is always related to the amount of effective rainfall dropped over the surface, however in urban catchments the process is considerably altered by the emergence of impervious areas. In this study the Soil Consevation Service – curve number (SCS-CN) and the Green–Ampt loss methods were used in rainfall-runoff modelling in the Zaafrania urban catchment which is located in Annaba city in the north east of Algeria. The two loss methods were carried out within Hydrologic Engineering Center – Hydrologic Modelling System (HEC-HMS), the choice of the appropriate method for simulating runoff hydrographs in the study area was made by comparing the simulated hydrographs versus observed data using visual inspection and statistical analysis. The results indicate that SCS-CN loss method fit better in the case of 100 years return period NSE (0.462) than in 10 years NSE (0.346) and the results of calibration of Green–Ampt loss method for the 100 years return period NSE (0.417) provide best fit than the case of 10 years NSE (0.381). Furthermore, the results of both return periods (10 and 100 years) of SCS-CN loss method provide best fit than the results of return periods (10 and 100 years) of Green–Ampt loss method. It could be concluded that SCS-CN method is preferred to the Green–Ampt method for event based rainfall-runoff modelling.

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22

Delani, Orita Mega, and Bambang Dwi Dasanto. "Perbandingan hidrograf banjir menggunakan beberapa metode perhitungan curah hujan efektif (studi kasus: Das Cisadane Hulu)." JURNAL SUMBER DAYA AIR 12, no. 2 (November 1, 2015): 187–98. http://dx.doi.org/10.32679/jsda.v12i2.65.

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Calculation of effective rainfall is an important step in hydrologic modelling. The used methods to calculate effective rainfall rarely observe watershed conditions on site. The objectives of the study is to determine the optimum method in calculating effective rainfall based on infiltration approach in Upper Cisadane Watershed and to analysis dominant characteristic of watershed on selected method. SCS-CN, Initial and Constant Rate Loss Method, and Green and Ampt Loss Method were the methods that used to estimate run off value in Upper Cisadane Watershed. The simulation was performed using HEC-HMS and tested using EF and RMSE on peak discharge and volume of hydrograph. The three events of peak discharge was chosen. Based on EF and RMSE test, Green and Ampt Loss Method model showed that simulated hydrograph was similar to measured hydrograph in Upper Cisadane Watershed with EF was 0.764 and RMSE was 5.93 m3/s. Based on the analysis, green and Ampt method is recommended to use on watershed with mountainous topographic and simillar on shape with Upper Cisadane Watershed.

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23

Flerchinger, G. N., F. J. Watts, and G. L. Bloomsburg. "Explicit Solution to Green‐Ampt Equation for Nonuniform Soils." Journal of Irrigation and Drainage Engineering 114, no. 3 (August 1988): 561–65. http://dx.doi.org/10.1061/(asce)0733-9437(1988)114:3(561).

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24

Chu, Shu‐Tung. "Green‐Ampt Analysis of Wetting Patterns for Surface Emitters." Journal of Irrigation and Drainage Engineering 120, no. 2 (March 1994): 414–21. http://dx.doi.org/10.1061/(asce)0733-9437(1994)120:2(414).

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25

Shu-Tung Chu. "Determination of Green-Ampt Parameters Using a Sprinkler Infiltrometer." Transactions of the ASAE 29, no. 2 (1986): 0500–0504. http://dx.doi.org/10.13031/2013.30180.

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26

W. J. Rawls and D. L. Brakensiek. "Comparison Between Green-Ampt and Curve Number Runoff Predictions." Transactions of the ASAE 29, no. 6 (1986): 1597–99. http://dx.doi.org/10.13031/2013.30359.

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27

Akan, A. Osman, and Serter Atabay. "Green and Ampt infiltration model extended beyond rain duration." Water and Environment Journal 29, no. 4 (April 13, 2015): 515–22. http://dx.doi.org/10.1111/wej.12120.

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28

Van Mullem, J. A. "Runoff and Peak Discharges Using Green‐Ampt Infiltration Model." Journal of Hydraulic Engineering 117, no. 3 (March 1991): 354–70. http://dx.doi.org/10.1061/(asce)0733-9429(1991)117:3(354).

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29

Kidwell, Mary R., Mark A. Weltz, and D. Phillip Guertin. "Estimation of Green-Ampt Effective Hydraulic Conductivity for Rangelands." Journal of Range Management 50, no. 3 (May 1997): 290. http://dx.doi.org/10.2307/4003732.

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30

Craig, J. R., G. Liu, and E. D. Soulis. "Runoff-infiltration partitioning using an upscaled Green-Ampt solution." Hydrological Processes 24, no. 16 (February 17, 2010): 2328–34. http://dx.doi.org/10.1002/hyp.7601.

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31

Hilpert, Markus, and Roland Glantz. "Exploring the parameter space of the Green–Ampt model." Advances in Water Resources 53 (March 2013): 225–30. http://dx.doi.org/10.1016/j.advwatres.2012.12.001.

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32

Gan, Yongde, Huan Liu, Yangwen Jia, Siyuan Zhao, Jiahua Wei, Hongwei Xie, and Dongzhu Zhaxi. "Infiltration-runoff model for layered soils considering air resistance and unsteady rainfall." Hydrology Research 50, no. 2 (October 29, 2018): 431–58. http://dx.doi.org/10.2166/nh.2018.007.

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Abstract A modified Green–Ampt model (MGAM) was proposed to simulate infiltrations into layered soil profiles with the entrapped air under unsteady rainfall conditions. To account for the effects of the air resistance, the saturation coefficient, actual water content, air bubbling pressure, and water bubbling pressure were introduced in the model. One-dimensional infiltration-runoff experiments were then conducted in multi-layered soil columns, under unsteady rainfall conditions, to evaluate the performance of the MGAM model. The cumulative infiltration, runoff rate, and water content of the soil, calculated by MGAM, were compared with the observed data and the results, calculated by the traditional Green–Ampt model (TGAM), the Bouwer Green–Ampt model (BGAM), and the Mein–Larson model (MLGAM), respectively. The results indicated that the cumulative infiltration, runoff rate, and soil water content, calculated by MGAM, were in better agreement with the observed results than previous models. A parameter sensitivity of MGAM was also analyzed. It was found that the sensitivity of the saturated coefficient was high in the first soil layer, and those of the air bubbling pressure and initial moisture deficit were high or medium in the first and second layers, while those of the other parameters were relatively low.

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33

Ma, Wenmei, Xingchang Zhang, Qing Zhen, and Yanjiang Zhang. "Effect of soil texture on water infiltration in semiarid reclaimed land." Water Quality Research Journal 51, no. 1 (August 18, 2015): 33–41. http://dx.doi.org/10.2166/wqrjc.2015.025.

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The infiltration of water and its influencing factors in disturbed or reclaimed land are not well understood. A better understanding would provide essential information for assessing the hydrological processes in disturbed ecosystems. We measured the infiltration of water in soils from loamy and sandy reclaimed land. The relationships between infiltration and soil properties were analyzed based on three models: the Kostiakov, Philip, and Green–Ampt equations. Our objectives were to understand water infiltration in reclaimed land with a variety of soil textures and to establish the dependence of water infiltration on soil properties. Both the rate of infiltration and the cumulative infiltration were higher in sandy than in loamy soils. The rate of infiltration and the cumulative infiltration decreased with soil depth in undisturbed land. The sorptivity rate (S) from the Philip equation, empirical coefficient (K) from the Kostiakov equation, and the satiated hydraulic conductivity (Ksl) from the Green–Ampt equation were 22%, 16%, and 7.1% higher, respectively, in sandy than in loamy soils. The Ksl increased significantly with Ks (saturated hydraulic conductivity) in both sandy and loamy soils. These indicated that the Green–Ampt equation can be used to describe Ks and the characteristics of infiltration for soils on disturbed land.

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34

Lima, Cícero Aurélio Grangeiro, and Alain Passerat de Silans. "Variabilidade espacial da infiltração de água no solo." Pesquisa Agropecuária Brasileira 34, no. 12 (December 1999): 2311–20. http://dx.doi.org/10.1590/s0100-204x1999001200018.

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Dados de infiltração de água no solo foram obtidos em diversos pontos de uma malha retangular de uma parcela agrícola da Fazenda Experimental da EMEPA-PB, com o objetivo de caracterizar a variabilidade espacial da infiltração e dos parâmetros hidrodinâmicos do solo. Foram utilizadas as leis de Philip e de Green & Ampt para ajustamento dos valores obtidos. Medições de granulometria, densidade do solo e umidade volumétrica antes e depois dos testes de infiltração foram efetuadas. Técnicas de análises estatísticas clássicas e geoestatísticas foram utilizadas para descrever a variabilidade espacial dos parâmetros de infiltração, obtidos pelo ajustamento às leis teóricas. Dos parâmetros estudados, o de sucção da equação de Green & Ampt se mostrou o mais sensível à variabilidade espacial da parcela. Também não se notou correlação entre os parâmetros de infiltração e a textura.

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35

Nie, Wei-Bo, Yi-Bo Li, Ye Liu, and Xiao-Yi Ma. "An Approximate Explicit Green-Ampt Infiltration Model for Cumulative Infiltration." Soil Science Society of America Journal 82, no. 4 (May 10, 2018): 919–30. http://dx.doi.org/10.2136/sssaj2017.11.0404.

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36

Risse, L. M., M. A. Nearing, and X. C. Zhang. "Variability in Green-Ampt effective hydraulic conductivity under fallow conditions." Journal of Hydrology 169, no. 1-4 (July 1995): 1–24. http://dx.doi.org/10.1016/0022-1694(94)02676-3.

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37

HUANG, Jiesheng, Koichi SATO, and Keiji TAKASE. "Application of Green-Ampt Equation to Long Term Runoff Analysis." Journal of Japan Society of Hydrology and Water Resources 9, no. 1 (1996): 38–47. http://dx.doi.org/10.3178/jjshwr.9.38.

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38

M. L. Wolfe, C. L. Larson, and C. A. Onstad. "Hydraulic Conductivity and Green-Ampt Infiltration Modeling for Tilled Soils." Transactions of the ASAE 31, no. 4 (1988): 1135–40. http://dx.doi.org/10.13031/2013.30834.

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39

W. J. Rawls, D. L. Brakensiek, J. R. Simanton, and K. D. Kohl. "DEVELOPMENT OF A CRUST FACTOR FOR A GREEN AMPT MODEL." Transactions of the ASAE 33, no. 4 (1990): 1224–28. http://dx.doi.org/10.13031/2013.31461.

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40

X. C. Zhang, M. A. Nearing, and L. M. Risse. "Estimation of Green-Ampt Conductivity Parameters: Part I. Row Crops." Transactions of the ASAE 38, no. 4 (1995): 1069–77. http://dx.doi.org/10.13031/2013.27924.

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41

X. C. Zhang, M. A. Nearing, and L. M. Risse. "Estimation of Green-Ampt Conductivity Parameters: Part II. Perennial Crops." Transactions of the ASAE 38, no. 4 (1995): 1079–87. http://dx.doi.org/10.13031/2013.27925.

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42

Devaurs, Micheline, and Gerald F. Gifford. "APPLICABILITY OF THE GREEN AND AMPT INFILTRATION EQUATION TO RANGELANDS." Journal of the American Water Resources Association 22, no. 1 (February 1986): 19–27. http://dx.doi.org/10.1111/j.1752-1688.1986.tb01855.x.

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43

Kale, Ravindra V., and Bhabagrahi Sahoo. "Green-Ampt Infiltration Models for Varied Field Conditions: A Revisit." Water Resources Management 25, no. 14 (July 12, 2011): 3505–36. http://dx.doi.org/10.1007/s11269-011-9868-0.

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44

James, Wesley P., John Warinner, and Michael Reedy. "APPLICATION OF THE GREEN-AMPT INFILTRATION EQUATION TO WATERSHED MODELING." Journal of the American Water Resources Association 28, no. 3 (June 1992): 623–35. http://dx.doi.org/10.1111/j.1752-1688.1992.tb03182.x.

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45

Cho, Sung-Eun. "Surficial Stability Analysis by the Green-Ampt Infiltration Model with Bedrock Boundary Condition." Journal of Korean Society of Hazard Mitigation 15, no. 1 (February 28, 2015): 131–42. http://dx.doi.org/10.9798/kosham.2015.15.1.131.

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46

Cao, Ding-feng, Bin Shi, Hong-hu Zhu, Hilary Inyang, Guang-qing Wei, Yan Zhang, and Chao-sheng Tang. "Feasibility Investigation of Improving the Modified Green–Ampt Model for Treatment of Horizontal Infiltration in Soil." Water 11, no. 4 (March 28, 2019): 645. http://dx.doi.org/10.3390/w11040645.

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Water infiltration in soil is a complex process that still requires appreciation of interactions among three phases (soil particles, water and air) to enable accurate estimation of water transport rates. To simulate this process, the Green–Ampt (GA) model and the Modified Green-Ampt (MGA) model introduced in the paper “A new method to estimate soil water infiltration based on a modified Green–Ampt model” have been widely used. The GA model is based on the hypothesis that the advance of the wetting front in soil under matric suction can be treated as a rectangular piston flow that is instantaneously transformed after passage of the infiltration front, and the MGA model does not contain the influence of pore size change. This cannot accurately reflect the soil moisture change process from unsaturation to saturation. Due to soil stratification and other inhomogeneity, predictions produced with these models often differ widely from observations. To quickly obtain the soil moisture distribution after passage of the wetting front for horizontal infiltration, an improved modified Green–Ampt (IMGA) model is presented, which estimates the soil moisture profile along a horizontal column in a piecewise manner with three functions. A logarithmic function is used to describe the gradual soil saturation process in the transmission zone, and two linear functions are used to represent the wetting zone. The algorithm of the IMGA model for estimating the water infiltration rate and cumulative infiltration is configured. To verify the effectiveness of IMGA model, a lab model test was performed, and a numerical model was built to solve the horizontal one-dimensional Richards equation using the finite–element method. The results show that the IMGA model is more accurate than the GA and MGA models. The horizontal soil moisture profiles obtained by the IMGA model are closer to the measured data than the numerical simulation results. The relative errors of the MGA and IMGA models decrease with an increase in infiltration time, whereas that of the GA model first decreases and then increases with infiltration time. The primary novelty of this study is nonlinear description of soil moisture content distribution, and derivation of unit transfer coefficient.

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47

Liu, Dedi, Yao Xu, Shenglian Guo, Pan Liu, and David E. Rheinheimer. "A modified Green–Ampt model for water infiltration and preferential flow." Hydrology Research 47, no. 6 (February 11, 2016): 1172–81. http://dx.doi.org/10.2166/nh.2016.160.

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Preferential flow is significant for its contribution to rapid response to hydrologic inputs at the soil surface and unsaturated zone flow, which is critical for flow generation in rainfall–runoff (RR) models. In combination with the diffuse and source-responsive flow equations, a new model for water infiltration that incorporates preferential flow is proposed in this paper. Its performance in estimating soil moisture at the catchment scale was tested with observed water content data from the Elder sub-basin of the South Fork Eel River, located in northern California, USA. The case study shows that the new model can improve the accuracy of soil water content simulation even at the catchment scale. The impacts of preferential flow on RR simulation were tested by the Modello Idrologico Semi-Distributio in continuo lumped hydrological model for the Elder River basin. Eleven significant floods events, which were defined as having flood peak magnitudes greater than ten times average discharge during the study period, were employed to assess runoff simulation improvement. The accuracy of the runoff simulation incorporating the preferential flow at the catchment scale improved significantly according to the likelihood ratio test.

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Muntohar, Agus Setyo, and Liao Hung-Jiun. "Factors Affecting Rain Infiltration on a Slope Using Green-Ampt Model." Journal of Physical Science 30, no. 3 (November 25, 2019): 71–86. http://dx.doi.org/10.21315/jps2019.30.3.5.

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Xiang, Long, Wen-wen Ling, Yong-shu Zhu, Li Chen, and Zhong-bo Yu. "Self-adaptive Green-Ampt infiltration parameters obtained from measured moisture processes." Water Science and Engineering 9, no. 3 (July 2016): 256–64. http://dx.doi.org/10.1016/j.wse.2016.05.001.

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Liu, Guoxiang, James R. Craig, and Eric D. Soulis. "Applicability of the Green-Ampt Infiltration Model with Shallow Boundary Conditions." Journal of Hydrologic Engineering 16, no. 3 (March 2011): 266–73. http://dx.doi.org/10.1061/(asce)he.1943-5584.0000308.

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