Errors
; Groundwater
; Soils
; Time domain analysis
; Ground water table
; Hydraulic potential
; Mean absolute error
; Quantitative effects
; Sensor position uncertainties
; Small-scale heterogeneity
; Time domain reflectometry
; Volumetric water content
; Uncertainty analysis
; complexity
; error analysis
; groundwater
; heterogeneity
; hydraulic property
; numerical model
; soil water
; time domain reflectometry
; water content
; water table
英文摘要:
Unrepresented model errors influence the estimation of effective soil hydraulic material properties. As the required model complexity for a consistent description of the measurement data is application dependent and unknown a priori, we implemented a structural error analysis based on the inversion of increasingly complex models. We show that the method can indicate unrepresented model errors and quantify their effects on the resulting material properties. To this end, a complicated 2-D subsurface architecture (ASSESS) was forced with a fluctuating groundwater table while time domain reflectometry (TDR) and hydraulic potential measurement devices monitored the hydraulic state. In this work, we analyze the quantitative effect of unrepresented (i) sensor position uncertainty, (ii) small scale-heterogeneity, and (iii) 2-D flow phenomena on estimated soil hydraulic material properties with a 1-D and a 2-D study. The results of these studies demonstrate three main points: (i) the fewer sensors are available per material, the larger is the effect of unrepresented model errors on the resulting material properties. (ii) The 1-D study yields biased parameters due to unrepresented lateral flow. (iii) Representing and estimating sensor positions as well as small-scale heterogeneity decreased the mean absolute error of the volumetric water content data by more than a factor of 2 to 0. 004.
Institute of Environmental Physics, Heidelberg University, Im Neuenheimer Feld 229, Heidelberg, Germany; HGSMathComp, Heidelberg University, Im Neuenheimer Feld 205, Heidelberg, Germany; Interdisciplinary Center for Scientific Computing, Heidelberg University, Im Neuenheimer Feld 205, Heidelberg, Germany
Recommended Citation:
Jaumann S,, Roth K. Effect of unrepresented model errors on estimated soil hydraulic material properties[J]. Hydrology and Earth System Sciences,2017-01-01,21(9)