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ARS Home » Pacific West Area » Boise, Idaho » Watershed Management Research » Research » Publications at this Location » Publication #354985

Research Project: Ecohydrology of Mountainous Terrain in a Changing Climate

Location: Watershed Management Research

Title: Water flow modeling with dry bulk density optimization to determine hydraulic properties in mountain soils

Author
item Fullhart, A - University Of Wyoming
item Kelleners, T - University Of Wyoming
item Chandler, D - Syracuse University
item Mcnamara, J - Boise State University
item Seyfried, Mark

Submitted to: Soil Science Society of America Journal
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 11/2/2017
Publication Date: 1/12/2018
Citation: Fullhart, A., Kelleners, T., Chandler, D., Mcnamara, J., Seyfried, M.S. 2018. Water flow modeling with dry bulk density optimization to determine hydraulic properties in mountain soils. Soil Science Society of America Journal. 82(1):31-44. doi:10.2136/sssaj2017.06.0196.
DOI: https://doi.org/10.2136/sssaj2017.06.0196

Interpretive Summary: A new method for determining profile-average and depth-wise hydraulic properties in heterogeneous mountain soils is presented using the GEOtop watershed model in 1-D vertical mode. Dry soil bulk density–converted volumetric soil water retention data are used to determine van Genuchten soil water retention parameters, and the Kozeny–Carman equation is used to determine saturated soil hydraulic conductivity. Optimum dry soil bulk densities are identified by minimizing the sum of squared error between measured and calculated soil water content time series. The new method was tested using soil moisture data from soil profiles at the Dry Creek Experimental Watershed, Boise, ID, and the Libby Creek Experimental Watershed, Laramie, WY. Results of different scenarios showed that the optimization of a single profile-average dry soil bulk density is a good option for describing soil water flow in the heterogeneous mountain soils. Soil water content modeling efficiency (ME) values of 0.084 = ME = 0.745 and –2.443 = ME = 0.373 were found for the Dry Creek and Libby Creek sites, respectively. Relatively low ME values for the deepest sensor depths for some scenarios were attributed to the overestimation of soil water freezing and uncertainty in the soil water retention function near saturation. The resulting calibration procedure is computationally efficient because only one parameter (dry soil bulk density) is optimized.

Technical Abstract: A new method for determining profile-average and depth-wise hydraulic properties in heterogeneous mountain soils is presented using the GEOtop watershed model in 1-D vertical mode. Dry soil bulk density–converted volumetric soil water retention data are used to determine van Genuchten soil water retention parameters, and the Kozeny–Carman equation is used to determine saturated soil hydraulic conductivity. Optimum dry soil bulk densities are identified by minimizing the sum of squared error between measured and calculated soil water content time series. The new method was tested using soil moisture data from soil profiles at the Dry Creek Experimental Watershed, Boise, ID, and the Libby Creek Experimental Watershed, Laramie, WY. Results of different scenarios showed that the optimization of a single profile-average dry soil bulk density is a good option for describing soil water flow in the heterogeneous mountain soils. Soil water content modeling efficiency (ME) values of 0.084 = ME = 0.745 and –2.443 = ME = 0.373 were found for the Dry Creek and Libby Creek sites, respectively. Relatively low ME values for the deepest sensor depths for some scenarios were attributed to the overestimation of soil water freezing and uncertainty in the soil water retention function near saturation. The resulting calibration procedure is computationally efficient because only one parameter (dry soil bulk density) is optimized.