Determination of soil infiltration rate equation based on soil properties using multiple linear regression

• Autorzy: Harisuseno Donny , Cahya Evi N.

Identyfikatory

DOI

10.24425/jwld.2020.135034

• Języki publikacji: EN

Abstrakty

EN

Infiltration process plays important role in water balance concept particularly in runoff analysis, groundwater recharged, and water conservation. Hence, increasing knowledge concerning infiltration process becomes essential for water manager to gain an effective solution to water resources problems. This study employed multiple linear regression for estimating infiltration rate where the soil properties used as the predictor variable and measured infiltration rate as the response variable. Field measurement was conducted at sixteen points to obtain infiltration rate using double ring infiltrometer and soil properties namely soil porosity, silt, clay, sand content, degree of saturation, and water content. The result showed that measured infiltration rate had an average initial infiltration rate (f₀) of 6.92 mm∙min^–1 and final infiltration rate (f_c) of 1.49 mm∙min^–1. Soil porosity and sand content showed a positive correlation with infiltration rate by 0.842, 0.639, respectively, while silt, clay, water content, and degree of saturation exhibited a negative correlation by –0.631, –0.743, –0.66 and –0.49, respectively. Three types of regression equations were established based on type of soil properties used as predictor variables. The model performance analysis was conducted for each equation and the result shows that the equation with five predictor variables f_{MLR_3} = – 62.014 + 1.142 soil porosity – 0.205 clay, – 0.063 sand – 0.301, silt + 0.07 soil water content with R² (0.87) and Nash–Sutcliffe (0.998) gave the best result for estimating infiltration rate. The study found that soil porosity contributes mostly to the regression equation that indicates great influence in controlling soil infiltration behavior.

Słowa kluczowe

EN

infiltration rate; model performance; multiple linear regression; soil property

• Wydawca: Wydawnictwo ITP
• Czasopismo: Journal of Water and Land Development
• Rocznik: 2020
• Tom: no. 47
• Strony: 77--88
• Opis fizyczny: Bibliogr. 31 poz., fot., rys., tab.

Twórcy

autor

Harisuseno Donny

• University of Brawijaya, Faculty of Engineering, Water Resources Engineering Department, MT. Haryono Street No. 167, 65145, Malang, Indonesia

autor

Cahya Evi N.

• University of Brawijaya, Faculty of Engineering, Water Resources Engineering Department, MT. Haryono Street No. 167, 65145, Malang, Indonesia

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).