Soil water infiltration under different land use conditions: in situ tests and modeling

Failache, Moisés Furtado; Zuquette, Lázaro Valentin

doi:10.1590/2318-0331.262120210063

Cited by 3 publications

(1 citation statement)

References 32 publications

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“…Singh B., et al, (2021) were concluded that infiltration characteristics measuring in field is a timeconsuming and complicated task for water resource and agriculture researchers. Failache M. F. et al, (2021) illustrated that, the land uses and management practices affected the accuracy of the selected infiltration models. Nugroho S. et al, (2021) showed that soil compaction, vegetation cover, and soil texture had a significant effect on the basic infiltration rate (BIR).…”

Section: Introductionmentioning

confidence: 99%

Estimate Infiltration Rate Using Physical, Chemical, and Hydro-Physical Soil Properties in the New Land – El Wadi El Gadiad Governorate, Egypt

Ismail¹,

Yacoub²,

Eid

2022

Menoufia Journal of Soil Science

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Measuring the infiltration rate (IR) in different types of soil is very important to determine the optimum irrigation application rate (i.e., discharge) to prevent the surface run-off, that causes a decrease in the productivity of the land as a result of the loss of seeds, fertilizers and irrigation water. Therefore, researchers tend to use high-accuracy field measurements of IR (i.e., double ring method) to reach the precise actual values of IRs in different soils that help in setting up suitable irrigation system and intensity rate of irrigation water to allow only suitable flux based on the soil infiltrability and eliminate losses through run-off. To reach this goal field and laboratory measurements were conducted to evaluate IR and chosen related soil properties. The obtained results of the study concluded the following: The differences in the values of the IR are attributed to the changes in the physical properties of the soil due to the variation of soil textures, which leads to the heterogeneity of the soil grains, which greatly affects the IR; the differences in the bulk density of the studied soils affect the geometry of the soil particle and pore sizes distribution which resulted in large extent on IR; as a result of the heterogeneity of the soil particles size, the smaller ones fill the spaces between the large particles, which limits the porosity and thus reduces the IR; the presence of calcium carbonate improves the permeability up to a certain limit, but when it increases such limit, this leads to reduction in soil permeability; employing mathematical equations, developed based on statistical analysis of the relationship between IR and the soil properties (physical, chemical and hydro-physical properties), are useful in reducing the time and effort required to conduct the double ring experiment; the results of the significant relationships at 99% and 95% confidence limits between the results of using mathematical equations to infer infiltration rates showed satisfied significance (R 2 value) for most of the results of the studied physical, chemical and hydro-physical soil properties; statistically, this method can be used under the soil's conditions of the study area, with the need to implement it in different types of soils for the purpose of validating the obtained regression equations to reach similar accuracy as the field measurement of IR using the method of double-ring infiltrometer.

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Section: Introductionmentioning

confidence: 99%

Estimate Infiltration Rate Using Physical, Chemical, and Hydro-Physical Soil Properties in the New Land – El Wadi El Gadiad Governorate, Egypt

Ismail¹,

Yacoub²,

Eid

2022

Menoufia Journal of Soil Science

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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.

show abstract

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.

show abstract

Soil water infiltration under different land use conditions: in situ tests and modeling

Cited by 3 publications

References 32 publications

Estimate Infiltration Rate Using Physical, Chemical, and Hydro-Physical Soil Properties in the New Land – El Wadi El Gadiad Governorate, Egypt

Estimate Infiltration Rate Using Physical, Chemical, and Hydro-Physical Soil Properties in the New Land – El Wadi El Gadiad Governorate, Egypt

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.

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