Investigation and parameterization of the ponding height effect on dynamic suction head estimation in the Green-Ampt model

Huang, Qun-Zhan; Hilpert, Markus; Tsai, Ying-Chien; Hsu, Su Ming

doi:10.1016/j.jhydrol.2023.129524

Cited by 5 publications

(2 citation statements)

References 37 publications

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“…(3) Higher storm intensities led to faster filling of soil pores, resulting in shorter durations (20,11, or 4 min) of constant infiltration rates. ( 4) The actual infiltration rates may exceed the infiltration capacities on the Horton curve, as indicated by the green line surpassing the black line, as seen in Figure 6a, due to the initially inadequate amount of water available for infiltration.…”

Section: Catchment Scalementioning

confidence: 99%

“…Consequently, numerous theoretical and empirical infiltration models have been developed for indirect estimation [5,6]. Infiltration models can be categorized into two types [7]: physically-based equations such as Horton [8][9][10], Green-Ampt [11], Soil Conservation Service [12], Swartzendruber [13], Kostiakov, Kostiakov-Lewis, and Philip; and empirical and data-driven methods including artificial neural networks [14], support vector machines [15], random-forest models [16], and Gene Expression Programming [17].…”

Section: Introductionmentioning

confidence: 99%

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Impact of Storm Characteristics on Infiltration Dynamics in Sponge Cities Using SWMM

Yang,

Shao,

et al. 2023

Water

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Effective stormwater management in urban areas requires enhancing the permeability of underlying surfaces. However, the impact of storm characteristics on infiltration processes in sponge cities remains insufficiently explored. This study uses the Horton method within the storm water management model to investigate how uniform and Chicago storm parameters affect infiltration rates. Our findings provide valuable insights: (1) Increasing porous pavement area proportionally reduces subarea sizes within subcatchments, and infiltration rates of porous pavements are supply-controlled. (2) Uniform storms result in consistent initial infiltration rates across pervious areas, subcatchments, and the entire catchment. The duration of this stable state decreases with higher return periods. Catchment infiltration volumes exhibit linear growth with greater storm intensities (R-squared = 0.999). (3) Peak infiltration rates and moments for pervious areas, subcatchments, and the overall catchment exhibit correlations with both the return period and the time-to-peak coefficient, with correlation coefficients ranging from −0.9914 to 0.9986 and p-values ranging from 0.0334 to 0.6923. This study quantifies the influence of design storm parameters on infiltration, providing valuable insights for stormwater infrastructure design and urban stormwater control.

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Section: Catchment Scalementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Impact of Storm Characteristics on Infiltration Dynamics in Sponge Cities Using SWMM

Yang,

Shao,

et al. 2023

Water

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Assessing the performance of various infiltration models to improve water management practices

Vishwakarma,

Yadav,

Kumar

et al. 2024

Paddy Water Environ

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Infiltration plays a key role in stormwater management and irrigation scheduling. A review of previous studies reveals that the effectiveness of infiltration models varies significantly depending on soil characteristics and field conditions. Accurate predictions depend on selecting appropriate models for specific sites because of soil spatial variability. This requires extensive testing and recording of infiltration rates at each location. This study assesses various infiltration rate measurement models to enhance water management efficiency. Infiltration rate measurements were conducted at three sites in Dehradun using a double-ring infiltrometer. Well-established models, such as Philips JR, Green, Ampt, Horton, Kostiakov, modified Kostiakov, and the Soil Conservation Service (SCS) model, were evaluated. Data from infiltration tests were used to calibrate these models, facilitating better irrigation system design and stormwater management. In assessing their effectiveness and efficiency, key evaluation criteria such as Nash–Sutcliffe efficiency (NSE), R-squared (R2), root mean square error (RMSE), mean absolute error (MAE), and mean bias error (MBE) were employed. Our findings highlight the superiority of the Philips JR model, offering the highest overall accuracy with the highest average value R2 = 0.9557 and NSE = 0.9553, lowest MAE = 0.6717 cm/h, MBE = − 0.0160 cm/h and RMSE = 1.0077 cm/h. These results underscore the model’s ability to synthesize infiltration data effectively, even in the absence of direct measurements. This insight positions the Philips JR model as a valuable tool for estimating infiltration rates in similar conditions.

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A spatially distributed hydrodynamic model framework for urban flood hydrological and hydraulic processes involving drainage flow quantification

Guo,

Guan,

Yan

et al. 2023

Journal of Hydrology

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Investigation and parameterization of the ponding height effect on dynamic suction head estimation in the Green-Ampt model

Cited by 5 publications

References 37 publications

Impact of Storm Characteristics on Infiltration Dynamics in Sponge Cities Using SWMM

Impact of Storm Characteristics on Infiltration Dynamics in Sponge Cities Using SWMM

Assessing the performance of various infiltration models to improve water management practices

A spatially distributed hydrodynamic model framework for urban flood hydrological and hydraulic processes involving drainage flow quantification

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