Application of infiltration equations to a catchment with large spatial variability in infiltration

Berndtsson, Ronny

doi:10.1080/02626668709491197

Cited by 18 publications

(4 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Also, an overall best performance of three-parameter Horton model in Ohio was observed by Shukla et al (2003b). Berndtsson (1987) reported a better fit of Horton model over Philips infiltration models for semi-arid soils in Northern Tunisia. Dashtaki et al (2009) reported a better performance for Horton model than Kostiakov and Philip models.…”

Section: Horton's Equationmentioning

confidence: 90%

Goodness of fit of three infiltration models of a soil under long-term trial in Samaru, Northern Guinea Savanna of Nigeria

Girei¹,

Abdulkadir²,

Abdu³

2016

J. Soil Sci. Environ. Manage.

View full text Add to dashboard Cite

Good strategies for water conservation, runoff or flood control and erosion management can be achieved by proper understanding of soil water infiltration characteristics. Three infiltration models Kostiakov's (1932), Philip's (1957) and Horton's (1940) were used to evaluate the infiltration characteristics of soils in a long-term fertilizer experiment in the Northern Guinea Savanna Agro Ecological zone with regard to the effects of long term land use and soil management. A double ring infiltrometer was used to conduct infiltration measurement on ten plots having different combination of Dung (D), Nitrogen (N), Phosphorus (P), and Potassium (K) fertilizer treatments. Thus, the treatments combinations were DNPK, DN, DK, DP, D, NPK, N, P, K and CT (no fertilization). Soils were predominantly sandy loam and bulk density and organic carbon were significantly influenced by the fertilizer combinations. Linear least sum of squares was used to obtain the model fitting parameters. Measured infiltration rates for plots that received dung (singly or in combination with mineral fertilizer) were significantly higher (p<0.05) than for the CT plots. Kostiakov's and Philip models showed good agreement with measured infiltration due to large R 2 (0.9956 and 0.986) recorded, respectively except Horton's model, which gave low regression coefficient between measured and calculated data. Based on R 2 values obtained from comparing measured and calculated cumulative infiltration, Kostiakov's and then Philip's equations provided best predictions over Horton. Fitting parameters obtained are suggested for use of site-specific or management-specific solutions of infiltration-related application. Further work is required to obtain reliable fitting parameters for Horton's infiltration equation of the trial field.

show abstract

Section: Horton's Equationmentioning

confidence: 90%

Goodness of fit of three infiltration models of a soil under long-term trial in Samaru, Northern Guinea Savanna of Nigeria

Girei¹,

Abdulkadir²,

Abdu³

2016

J. Soil Sci. Environ. Manage.

View full text Add to dashboard Cite

show abstract

“…It is similar to the Green and Ampt (191 1) infiltration model but it accounts for surface ponding, and Philip includes a convenient method to estimate the hydrostatic potential as a function of permeability. There is a growing literature dealing with these two formulae, providing insight and field data to estimate the parameters (Berndtsson 1987;Brakensiek and Onstad 1977;Brakensiek 1977;Rawls and Brakensiek 1983;Springer and Cundy 1987;Viessman et al 1977).…”

Section: Adjustment Of Radar Datamentioning

confidence: 96%

Resolution considerations in using radar rainfall data for flood forecasting

Kouwen¹,

Garland²

1989

Can. J. Civ. Eng.

View full text Add to dashboard Cite

The objectives of this paper are (1) to show the hydrological effects of changing the spatial resolution of radar-derived rainfall and (2) to show the effect of discretization of radar data on hydrological modeling for flood forecasting. Simulated hydrographs are compared for 2, 5, and 10 km basin grid sizes for the Grand River watershed in Ontario. An eight-level discretization of rainfall is compared with a 256-level scale of rainfall intensities. Spatial averaging tends to reduce the effect of erroneous radar readings and give comparable results with those obtained using finer resolutions. The appropriate level of discretization depends on the area being modeled and appropriate levels are recommended. The level of discretization of radar precipitation data does not significantly affect the generation of hydrographs. Hydrographs based on the radar-derived rainfall generally reproduced measured hydrographs better than those derived from the rain gauge data.

show abstract

“…Kostikov's gave a very good representation of infiltration when compared with the Philip's model. Berndtsson [58] compared two commonly used infiltration model on heavy calcareous clay soils and found that the Horton's model performed slightly better than the Philip's model. Similarly, Hsu et al [56] concluded that Horton's model differed most as compared to the other two models.…”

Section: Model Performancementioning

confidence: 99%

Estimation of infiltration models parameters and their comparison to simulate the onsite soil infiltration characteristics

Farid

Mahmood-Khan

Ahmad

et al. 2019

International Journal of Agricultural and Biological Engineering

View full text Add to dashboard Cite

Detailed knowledge about soil characteristics and site-specific final steady infiltration rate could help to increase the irrigation water use efficiency and decrease water losses in agricultural system. The experiments were conducted on Agricultural Research Farm of Bahauddin Zakariya University, Multan, Pakistan during 2016. The cumulative infiltration depth was measured using double ring infiltrometer at selected six points of the study area. Most commonly used infiltration models such as Kostikov's, Philip's and Horton's were fitted to the field infiltration data for determination of model parameters and to find the best fit model for the study area. Kostikov's infiltration model's parameters such as empirical constant 'c' and infiltration decay constants 'k' were obtained in the ranges of 0.140-0.290 and 0.307-0.433, respectively. Philip's infiltration model's parameters such as sorptivity 'S' and conductivity constant 'A' were found in the ranges of 0.167-0.288 cm/min 1/2 and-0.001 to-0.009 cm/min, respectively. Similarly, the Horton's model's 'parameter 'k' was obtained in the range of-1.619 to-1.238. The value of infiltration capacity at onset of infiltration (fo) was obtained as 1.744 to 3.491 for all the six points. The analysis showed that the infiltration models using the estimated parameters have satisfactory prediction capability at all the selected points. Horton's model provided the lowest mean values for RMSE (0.235) and highest mean values for ME (94%); and the lowest mean values for MPD (0.127). This indicated that infiltration can be well-described by the Horton's model at the selected site.

show abstract

Application of infiltration equations to a catchment with large spatial variability in infiltration

Cited by 18 publications

References 24 publications

Goodness of fit of three infiltration models of a soil under long-term trial in Samaru, Northern Guinea Savanna of Nigeria

Goodness of fit of three infiltration models of a soil under long-term trial in Samaru, Northern Guinea Savanna of Nigeria

Resolution considerations in using radar rainfall data for flood forecasting

Estimation of infiltration models parameters and their comparison to simulate the onsite soil infiltration characteristics

Contact Info

Product

Resources

About