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Effects of Soil Hydraulic Properties on the Spatial Variability of Soil Water Content: Evidence from Sensor Network Data and Inverse

机译:土壤水力特性对土壤含水量空间变异性的影响:来自传感器网络数据和逆的证据

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Understanding the spatial variation of soil water content and its relation with hydraulic properties is important for the application of hydrologic models. In this study, we investigated whether soil hydraulic properties are related to soil water content variability at the field scale. We used the mean relative difference ( MRD) of soil water content and saturation degree to describe the spatial soil water content variability of a 2- yr time series of soil water content measured with a sensor network at 41 locations in the Rollesbroich catchment ( Germany). Hydraulic properties were described by the van Genuchten- Mualem ( VGM) model and were estimated by inverse modeling of soil water content data using the Hydrus- 1D model for each location. The feasible parameter space for the inverse modeling was derived using the Rosetta pedotransfer functions from information on sand, silt, and clay contents and bulk density from 273 soil samples taken in the catchment. Our inverse modeling results were able to reproduce the observed time series of soil water content with a root mean square error < 0.08 cm3 cm- 3 and R2 > 0.75. We found that the MRDs of soil water content were positively correlated with the saturated water content ( qs) and shape- fitting n parameters and negatively correlated with the shape- fitting a and saturated hydraulic conductivity ( Ks) parameters of the VGM model. Moreover, the MRDs of the saturation degree were strongly correlated with the a and n parameters that determine the shape of the VGM model.
机译:了解土壤含水量的空间变化及其与水力特性的关系对于水文模型的应用很重要。在这项研究中,我们调查了田间尺度上土壤水力学特性是否与土壤含水量变化有关。我们使用土壤含水量和饱和度的平均相对差(MRD)来描述在Rollesbroich流域(德国)的41个位置使用传感器网络测得的2年时间土壤含水量时间序列的空间土壤含水量变异性。水力学特性由van Genuchten-Mualem(VGM)模型描述,并通过使用Hydrus-1D模型对每个位置的土壤含水量数据进行逆向建模进行估算。利用Rosetta pedotransfer函数,从集水区中273个土壤样品中获得的有关砂,淤泥和粘土含量以及堆积密度的信息,得出了可逆参数模型的可行参数空间。我们的逆建模结果能够重现观察到的土壤含水量的时间序列,均方根误差<0.08 cm3 cm-3,R2> 0.75。我们发现,土壤含水量的MRD与VGM模型的饱和含水量(qs)和形状拟合n参数正相关,与形状拟合a和饱和水力传导率(Ks)参数负相关。此外,饱和度的MRD与确定VGM模型形状的a和n参数密切相关。

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