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Investigation of estimation of hydraulic parameters in heterogeneous soil

Authors :
Ali Muhammad
Akhtar Ali
Fazli Hameed
Ehtesham Ahmed
Zhang Wei Jiang
Wang Xu Dong
Source :
Proceedings of the Institution of Civil Engineers - Water Management. 176:66-81
Publication Year :
2023
Publisher :
Thomas Telford Ltd., 2023.

Abstract

Data availability for in situ spatial variability assessment of hydraulic parameters is always limited in the vadose zone. In this work, laboratory and in situ experimental methods of parameter estimation were compared to investigate the best estimation method for heterogeneous soil. The Marquardt–Levenberg and non-linear least-squares optimisation algorithms were used for parameter estimation. The simulation error was minimised by selecting sensitive parameters during the numerical solution. The shape factor n was found to be the most sensitive parameter, followed by water content θs, saturated hydraulic conductivity (SHC) and the inverse of the air entry α. Compared with the in situ cumulative infiltration and simultaneous methods, the outflow method resulted in the best fit by minimising the error. During the comparison of outflow and cumulative infiltration methods, only θs showed a significant difference (p = 0.00). On the other hand, SHC showed a non-significant difference (p = 0.439) when the outflow and simultaneous methods were compared. During model predictions, the SHC measured by the simultaneous method showed reasonable estimates for surface horizon and weak correlations (0.79 and 0.77) with deep soil water content, which could be improved by adding more hydraulic parameters. The cumulative infiltration numerical solution resulted in the most reliable estimates of hydraulic parameters for in situ heterogeneous soil.

Details

ISSN :
17517729 and 17417589
Volume :
176
Database :
OpenAIRE
Journal :
Proceedings of the Institution of Civil Engineers - Water Management
Accession number :
edsair.doi...........595224aa75cc66729a4d9da8664d1f7a
Full Text :
https://doi.org/10.1680/jwama.20.00048