Comparative performance of different infiltration models for prediction of infiltration rate under different land-use conditions

Bajirao, Tarate Suryakant; Vishnu, Pallerla

doi:10.1007/s12665-023-10808-3

Cited by 6 publications

(5 citation statements)

References 29 publications

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“…Soil in ltration rate also indicates the composite soil physical properties such as texture, structure, porosity, and hydraulic conductivity (Bajirao and Vishnu 2023). Lack of information about soil in ltration can be a source of various problems such as surface ooding, surface and groundwater pollution, watertable dropdown, waterlogging of irrigated farms, and inappropriate application of irrigation water to crops.…”

Section: Introductionmentioning

confidence: 99%

Evaluation and comparison of infiltration models for estimating infiltration capacity of different textures of irrigated soils: Case of Northern Ethiopia.

Mesele,

Grum,

Aregay

et al. 2024

Preprint

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Determination of infiltration capacity is a very important parameter during the design and evaluation of irrigation systems. Accurate estimation of infiltration rates helps in optimizing irrigation scheduling, preventing soil erosion, and improving water use efficiency. This study was conducted to evaluate and compare selected infiltration models for estimating water infiltration rates of five soil textures in the Shillanat-iv- irrigation scheme in northern Ethiopia. Soil samples were taken from selected sites in the irrigation scheme for determining soil textural classes using the hydrometer texture laboratory analysis and the USDA textural triangle. Soil textural map of the irrigation area was prepared using inverse distance weight interpolation technique in ArcGIS version 10.4. The double ring infiltrometer was used to measure the infiltration rates of different soil textures in the irrigation scheme. Six selected infiltration models namely Kostiakov, Modified Kostiakov, Revised Modified Kostiakov, Philip, Horton, and Novel models were used to estimate infiltration rates for five soil textural classes namely, clay loam, loam, sandy clay loam, clay and sandy loam soils. To evaluate the performance of the models, infiltration rate was measured in 38 points of the study area, out of which 70% of the data was calibrating model parameters and 30% of the data was used for model validation. Parameters values of the infiltration models were optimized using the least-squares errors in SPSS statistical software. Five statistical parameters including the Coefficient of determination (R2), Maximum absolute error (MAE), Bias, Root mean square error (RMSE) and Percentage average error (PAE) were used to evaluate the performance of the infiltration models. Results indicated that the Revised Modified Kostiakov’s, Modified Kostiakov’s, and Novel’s infiltration models had better capability in estimating infiltration rates for clay loam, loam and sandy loam soil textures respectively. Similarly, the Hortons’s model had better performances in estimating infiltration rates of both sandy clay loam and clay soil textures compared to other models. In the design of the irrigation system, the best fitted infiltration models can be used for estimating the infiltration rate of soil textures in the selected irrigation scheme and other sites with similar soil textures.

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Section: Introductionmentioning

confidence: 99%

Evaluation and comparison of infiltration models for estimating infiltration capacity of different textures of irrigated soils: Case of Northern Ethiopia.

Mesele,

Grum,

Aregay

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Infiltration is the vertical downward movement of water into soils from different surface sources such as snowfall, precipitation, flood, and irrigation (Mazighi et al 2023;Vand et al 2018;Bajirao and Vishnu 2023). Infiltration capacity is particularly an important parameter in various fields such as hydrology, agriculture, urban drainage, and the design and management of irrigation schemes (Gebul 2022).…”

Section: Introductionmentioning

confidence: 99%

“…Knowledge of soil infiltration is required to predict the amount of water required to fill the root zone, establish the length of irrigation run, and estimate percolation losses in irrigation systems (Utin and Oguike 2018). Soil infiltration rate also indicates the composite soil's physical properties such as texture, structure, porosity, and hydraulic conductivity (Bajirao and Vishnu 2023). Lack of information about soil infiltration can be a source of various problems such as surface flooding, surface and groundwater pollution, water table dropdown, waterlogging of irrigated farms, and inappropriate application of irrigation water to crops.…”

Section: Introductionmentioning

confidence: 99%

“…Many comparative studies have been done on different infiltration models for estimating infiltration capacity of soils (Amami et al 2021;Bajirao and Vishnu 2023;Failache and Zuquette 2021;Kindo 2023;Mazighi et al 2023;Rasool et al 2021;Santra et al 2021;Sihag et al 2017;Sihag and Singh 2018). Mishra et al (2003) analyzed fourteen different infiltration models using data collected from field and laboratory tests.…”

Section: Introductionmentioning

confidence: 99%

“…Sometimes, it may be necessary to use infiltration models than field measurements as field measurements are often time-consuming, expensive, and tedious (Rajkai et al 2004). As a result, several studies (Musa et al 2023;Amami et al 2021;Bajirao and Vishnu 2023;Mazighi et al 2023) use coarsely available soil databases for determining the infiltration capacity of soils of a particular area. Since the parameters used in infiltration models are highly dependent on the soil textures and surface conditions, a field test is still necessary for the determination of model parameters (Utin and Oguike 2018).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Evaluation and comparison of infiltration models for estimating infiltration capacity of different textures of irrigated soils: Case of Northern Ethiopia.

Mesele,

Grum,

Aregay

et al. 2024

Preprint

View full text Add to dashboard Cite

Determination of infiltration capacity is a very important parameter during the design and evaluation of irrigation systems. Accurate estimation of infiltration rates helps in optimizing irrigation scheduling, preventing soil erosion, and improving water use efficiency. This study was conducted to evaluate and compare selected infiltration models for estimating water infiltration rates of five soil textures in the Shillanat-iv- irrigation scheme in northern Ethiopia. Soil samples were taken from selected sites in the irrigation scheme to determine soil textural classes using the hydrometer texture laboratory analysis and the USDA textural triangle. A soil textural map of the irrigation area was prepared using the inverse distance weight interpolation technique in ArcGIS version 10.4. The double-ring infiltrometer was used to measure the infiltration rates of different soil textures in the irrigation scheme. Six selected infiltration models namely Kostiakov, Modified Kostiakov, Revised Modified Kostiakov, Philip, Horton, and Novel models were used to estimate infiltration rates for five soil textural classes namely, clay loam, loam, sandy clay loam, clay and sandy loam soils. To evaluate the performance of the models, infiltration rate was measured in 38 points of the study area, out of which 70% of the data was calibrating model parameters and 30% of the data was used for model validation. Parameter values of the infiltration models were optimized using the least-squares errors in SPSS statistical software. Five statistical parameters including the Coefficient of determination (R2), Maximum absolute error (MAE), Bias, Root mean square error (RMSE) and Percentage average error (PAE) were used to evaluate the performance of the infiltration models. Results indicated that the Revised Modified Kostiakov’s, Modified Kostiakov’s, and Novel’s infiltration models had better capability in estimating infiltration rates for clay loam, loam and sandy loam soil textures respectively. Similarly, the Hortons’s model had better performances in estimating infiltration rates of both sandy clay loam and clay soil textures compared to other models. In the design of the irrigation system, the best-fitted infiltration models can be used for estimating the infiltration rate of soil textures in the selected irrigation scheme and other sites with similar soil textures.

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Effects of biochar addition or grass planting on infiltrations into a sandy soil in the Loess Plateau in China

Wu,

Xu,

Yang

et al. 2024

Earth Surf Processes Landf

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Changing the soil and underlying surface conditions is a key practice for realizing irrigation on‐site storage and infiltration. However, biochar addition and grass planting effects on soil infiltration and water retention capacity remain unclear. The effects of 0% biochar (C1), 1% biochar (C3), 2% biochar (C4), 3% biochar (C5) under ryegrass and 0% biochar (C2), 1% biochar (C6), 2% biochar (C7) and 3% biochar (C8) under Festuca arundinacea on infiltration behaviours were modelled by using sandy loessial soil columns with ‘bare soil + 0% biochar’ as the control (CK). (i) There is a linear relationship between cumulative infiltration and CK–C8 treatment wetting fronts (R2 ≥ 0.982), which showed an initial rising trend and then tended to gradual, and the influence of different treatments was primarily reflected in the middle and late infiltration stages. (ii) Both biochar and grass planting decreased the soil infiltration capacity compared with that of the CK treatment. A high biochar addition rate was beneficial for inhibiting soil water infiltration and improving water retention ability in sandy loessial soil, however, ryegrass soil infiltrabilities under 1%, 2% and 3% biochar were all stronger than that of F. arundinacea. (iii) The cumulative infiltration fitting effects in different treatments with the Kostiakov, Kostiakov–Lewis, Philip, USDA–NRCS, Horton and Green–Ampt equations were all good, although there were some differences in the infiltration rate curves under the six different fitting equations. This study is helpful in understanding effective sandy loessial soil storage ability for irrigation and efficient water resource usage.

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Comparative performance of different infiltration models for prediction of infiltration rate under different land-use conditions

Cited by 6 publications

References 29 publications

Evaluation and comparison of infiltration models for estimating infiltration capacity of different textures of irrigated soils: Case of Northern Ethiopia.

Evaluation and comparison of infiltration models for estimating infiltration capacity of different textures of irrigated soils: Case of Northern Ethiopia.

Evaluation and comparison of infiltration models for estimating infiltration capacity of different textures of irrigated soils: Case of Northern Ethiopia.

Effects of biochar addition or grass planting on infiltrations into a sandy soil in the Loess Plateau in China

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