Infiltration Simulation with Improved Green-Ampt Model Coupled with the Wet Zone Partition Function

Meng, Suyun; Yang, Yiqin

doi:10.1061/(asce)he.1943-5584.0001782

Cited by 6 publications

(4 citation statements)

References 45 publications

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“…Xu et al applied the improved GA infiltration model to the stability analysis of three-dimensional slope 24 . Meng and Yang combined BP neural network fitting parameters to partition the wet zone 25 . Although these scholars have done many researches on the GA model, the theory still has great potential for development.…”

Section: Introductionmentioning

confidence: 99%

Stability analysis of rainfall-induced landslide considering air resistance delay effect and lateral seepage

Li,

Lin,

Qiang

et al. 2024

Sci Rep

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Accumulation landslides are prone to occur during the continuous infiltration of heavy rainfall, which seriously threatens the lives and property safety of local residents. In this paper, based on the Green-Ampt (GA) infiltration model, a new slope rainfall infiltration function is derived by combining the effect of air resistance and lateral seepage of saturated zone. Considering that when the soil layer continues to infiltrate after the saturation zone is formed, the air involvement cannot be discharged in time, which delays the infiltration process. Therefore, the influence of air resistance factor in soil pores is added. According to the infiltration characteristics of finite long slope, the lateral seepage of saturated zone is introduced, which makes up for the deficiency that GA model is only applicable to infinite long slope. Finally, based on the seepage characteristics of the previous analysis, the overall shear strength criterion is used to evaluate the stability of the slope. The results show that the safety factor decreases slowly with the increase of size and is inversely correlated with the slope angle and initial moisture content. The time of infiltration at the same depth increases with the increase of size and slope angle, and is inversely correlated with the initial moisture content, but is less affected by rainfall intensity. By comparing with the results of experimental data and other methods, the results of the proposed method are more consistent with the experimental results than other methods.

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Section: Introductionmentioning

confidence: 99%

Stability analysis of rainfall-induced landslide considering air resistance delay effect and lateral seepage

Li,

Lin,

Qiang

et al. 2024

Sci Rep

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“…The latter work by Zhang et al (2019) also proposes a parametric extension of GA based on a piecewise linear approximation of moisture profiles with two linear zones (for horizontal flow). Similarly, (Meng and Yang, 2019) present an extended GA model for vertical flow comprising a partition between a saturated zone and an unsaturated zone with assumed linear pressure profile in the unsaturated zone (the wet/unsaturated partition function is fitted empirically using a neural network). In addition, the paper by Ali et al (2016) presents an extensive review and performance analyses of various "explicit" approximations of the classical GA solution, in comparison with the exact "implicit" GA equation.…”

Section: Introductionmentioning

confidence: 99%

Moving Multi-Front (MMF): A generalized Green-Ampt approach for vertical unsaturated flows

Alastal

Ababou

2019

Journal of Hydrology

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A Moving Multi-Front (MMF) method is developed and tested for solving the Richards equation governing unsaturated flow in vertical homogeneous porous columns. The MMF model is a gridless method. It can be viewed as a generalization of the Green-Ampt piston flow approach, which models flow as a single abrupt moving front separating saturated and dry regions during infiltration. The MMF model further generalizes this concept, using a parametrization of unsaturated water retention and conductivity-pressure curves. It reduces the Richards PDE to an ODE system governing "M" moving front positions. Different tests are developed to validate this approach for 1D transient downwards/upwards flows submitted to constant and time-varying pressure boundary conditions. They include: (i) infiltration to deep water tables; (ii) infiltration to shallow water tables; (iii) capillary rise from fixed water tables; (iv) gradual water table rise (partially saturated column with evolving pressure condition at bottom). The MMF results are compared favorably to finely discretized fixed grid solutions of Richards PDE. Analyses of error and accuracy show satisfactory results in terms of water content profiles and boundary fluxes (e.g. infiltration rate).

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“…The most common infiltration methods in hydrology are Philip, Horton and Green-Ampt (G-A) methods (Fernández-Pato et al, 2016). Among them, the advantage of the G-A model is that its parameters have definite physical meaning, which helps establish the relationships between characteristic parameters and physical soil characteristics (Meng & Yang, 2019). This model is also accurate, so most scholars have accepted it.…”

mentioning

confidence: 99%

“…Most of the above studies only consider the hydrodynamic process, and it does not consider the impact of hydrological processes, such as evaporation and infiltration on flood routing (Liang 2010;Bazilevs et al, 2011;Jeong et al, 2012;Ata et al, 2013;Hou et al, 2013a;Guan et al, 2014). Or only the G-A model is studied to determine its participation and scope of application (Esteves et al, 2000;Simons et al, 2014;Fernández-Pato et al, 2016;Meng & Yang, 2019). Besides, the influence of infiltration on a flood plain, including the inundation duration and the inundation area (Fernández-Pato et al, 2016), is not considered, and the model used for the study is relatively simple and the computational efficiency is not high.…”

mentioning

confidence: 99%

Study on the influence of infiltration on flood propagation with different peak shape coefficients and duration

Hou

Zhang

et al. 2021

Water Policy

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Traditional flood simulations fail to properly consider the impact of soil infiltration in floodplain areas with high soil infiltration rates. Notably, ignoring soil infiltration will lead to considerable uncertainty in flood simulations. In this paper, a fully hydrodynamic model coupled with the Green–Ampt infiltration model was used. Taking a natural reach in northern China (HTH in this paper) as a case study, observed flood discharge data were used to analyze the influence of soil infiltration on flood propagation based on the flood propagation simulation results for various inflow conditions. The maximum difference of inundation area is about 25%. The results show that soil infiltration has little effect on the inundation area during the rising stage of a flood. In the late period of a flood, the inundation area considering the effect of infiltration is smaller than that without infiltration, and the smaller the peak coefficient is, the longer the flood duration is, the larger the impact of infiltration on the inundation area. When the peak shape coefficient is 0.42 and the flood duration is 44.4 h, the maximum difference of the inundation area is about 28%. The research results provide a reference for flood management and post-disaster rescue efforts.

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Infiltration Simulation with Improved Green-Ampt Model Coupled with the Wet Zone Partition Function

Cited by 6 publications

References 45 publications

Stability analysis of rainfall-induced landslide considering air resistance delay effect and lateral seepage

Stability analysis of rainfall-induced landslide considering air resistance delay effect and lateral seepage

Moving Multi-Front (MMF): A generalized Green-Ampt approach for vertical unsaturated flows

Study on the influence of infiltration on flood propagation with different peak shape coefficients and duration

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