Mesry, S., dashtaki, G., Shirani, H., kamkarrohani, A., Motaghian, H., Bahrami, H. (2020). Hydraulic Conductivity Estimation Using Conveniently Available Soil Characteristics. , 34(1), 143-154. doi: 10.22092/ijsr.2020.122159
Samira Mesry; gorbani dashtaki; Hossein Shirani; abolghasem kamkarrohani; Hamidreza Motaghian; Hosseinali Bahrami. "Hydraulic Conductivity Estimation Using Conveniently Available Soil Characteristics". , 34, 1, 2020, 143-154. doi: 10.22092/ijsr.2020.122159
Mesry, S., dashtaki, G., Shirani, H., kamkarrohani, A., Motaghian, H., Bahrami, H. (2020). 'Hydraulic Conductivity Estimation Using Conveniently Available Soil Characteristics', , 34(1), pp. 143-154. doi: 10.22092/ijsr.2020.122159
Mesry, S., dashtaki, G., Shirani, H., kamkarrohani, A., Motaghian, H., Bahrami, H. Hydraulic Conductivity Estimation Using Conveniently Available Soil Characteristics. , 2020; 34(1): 143-154. doi: 10.22092/ijsr.2020.122159

Hydraulic Conductivity Estimation Using Conveniently Available Soil Characteristics

پژوهش های خاک
Article 11, Volume 34, Issue 1, July 2020, Pages 143-154    PDF (922.36 K)
Document Type: Research Paper
DOI: 10.22092/ijsr.2020.122159
Authors
Samira Mesry1; gorbani dashtaki* 2; Hossein Shirani3; abolghasem kamkarrohani4; Hamidreza Motaghian5; Hosseinali Bahrami6
1PhD. Student, Soil Science Department, Faculty of Agriculture, University of Shahrekord, Iran
2Professor, Soil Science Department, Faculty of Agriculture, University of Shahrekord, Iran
3Professor, Soil Science Department, Faculty of Agriculture, University of Rafsanjan, Iran
4Associate Professor, Miner Engineer, Geophysic Department, Faculty of Agriculture University of Shahroud, Iran
5Assistant Professor, Soil Science Department, Faculty of Agriculture, University of Shahrekord, Iran
6Professor, Soil Science Department, Faculty of Agriculture, Tarbiat Modarres University, Iran
Abstract
Soil saturated hydraulic conductivity is one of the most important physical characteristics of soils that affects water movement in soil. . The aim of this study was to determine the most important parameters in prediction and modeling of saturated hydraulic conductivity from conveniently available parameters, using the decision tree and error estimator cross validation and re- substitution. In this study, 72 soil samples with six different textures were collected from the village of Morgmalek and Shahrekord District. Conveniently available soil properties were introduced into software in 4 scenarios (the first scenario: pH, EC, % sand, % clay, OM%, CaCO3, mean weight diameter of dry aggregate (MWD dry), mean weight diameter of wet aggregate (MWD wet), BD; the second scenario: CaCO3 , OM%, % sand, % clay, BD, % gravel, electrical resistivity, dielectric constant, root penetration resistivity; the third scenario: pH, EC, Geometric mean diameter )dg(, Geometric standard  deviation )σg(, OM%, CaCO3, mean weight diameter of dry aggregate (MWD dry), mean weight diameter of wet aggregate (MWD wet), BD; and the fourth scenario: CaCO3, OM%, dg, σg BD, % gravel, electrical resistivity, dielectric constant, root penetration resistivity). Saturated hydraulic conductivity was measured with single ring. The results showed that moisture followed by structural features such as (σg) in the first scenario, and OM and BD in the second scenario, BD and MWD in the third scenario, and OM and BD in the fourth scenario were the most important parameter affecting saturated hydraulic conductivity. Correlation between predicted data by decision tree and measured data in the second and fourth scenarios were 0.83 and 0.82, respectively, and 0.79 in the first and third scenarios. All four scenarios were successful in modeling with respect to error rate and %RMSE. However, the %RMSE in the second and fourth scenarios was lower and the correlation coefficient was higher than the other two scenarios. The RMSE values in the four scenarios were 0.79, 0.83, 0.79, and 0.82, respectively.
Keywords
Aggregate stability; Saturation moisture; Decision tree; Error estimator
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