Applied Research in Water Engineering

Applied Research in Water Engineering

Estimation of confidence interval of Kostiakov model coefficients in different soil textures

Document Type : Original Article

Author
Abbas Parsaie
Department of Hydraulic Structures Engineering, Faculty of Water and Environmental Engineering, Shahid Chamran University, Ahvaz, Iran.
10.22034/arwe.2024.2020370.1008
Abstract
Modeling the uncertainty of the parameters of a mathematical model during the calibration process is very important in making decisions about its performance. The texture of the soil is one of the main factors of the uncertainty of soil infiltration. In this research, the Kostiakov model was fitted to the data of cumulative soil infiltration considering eight different soil textures from sandy to clay. In the following, using the Monte Carlo method and performing 1000 simulations for each of the soils texture, the range of coefficients of the Kostiakov model was calculated within the 95% confidence level. The obtained results showed that there is a very good agreement between the results of Kostiakov's model and the observational data. In general, it was found that the uncertainty of Kostyakov model coefficients in silty loam and clay loam soils is more than other soil textures. The lowest uncertainty of the coefficients of this model is in soils with silty-clay-loamy, sandy-clay-loamy, loamy and clayey textures.
Keywords
Monte Carlo algorithm
soil infiltration models
Soil texture
uncertainty
Subjects
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Applied Research in Water Engineering
Volume 1, Issue 2
March 2024
Pages 71-80

  • Receive Date 14 January 2024
  • Revise Date 12 March 2024
  • Accept Date 13 March 2024