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Predicting saturated and unsaturated Hydraulic conductivity in undisturbed soils from soil water characteristics

机译:从土壤水分特征预测未扰动土壤的饱和和非饱和水导率

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A new model for predicting saturated hydraulic conductivity (Ks) in undisturbed soils from macroporosity (epsilon100), defined as the air-filled porosity at a soil-water potential of(psi=-100 cm H2O), was developed using data for 23 undisturbed soils (90 horizons). The new Ks model compared well with measurements when tested against independent data sets for 73 undisturbed soils (191 horizons) from the UNSODA database and gave improved predictions (accuracy within one order of magnitude) compared with existing Ks models. Two new models for predicting relative hydraulic conductivity (K/Ks) in relatively moist, (psi>-350 cm H2O) undisturbed soils from soil-water content (theta) and the Campbell soil-water retention parameter, b, were developed usingconductivity and water retention data for the 73 soils from UNSODA. The new K/Ks models represent modifications of the recently presented DLC and SLC models (Poulsen et al. 1998. Soil Science 163:425-435) for predicting K/Ks in sieved, repacked soils. The modified DLC and SLC models were combined with the new Ks model, yielding new two-parameter (epsilon100, b) models for unsaturated hydraulic conductivity (K(theta)) in undisturbed soil. The two new K(theta) models were successfully tested against independent K(theta) data. The classical Campbell (Campbell. 1974. Soil Science 117:311-314) K/Ks model, combined with the new, more accurate Ks model, gave K(theta) prediction accuracy almost as good as the modified DLC and SLC K(theta) models. The suggested two-parameter K(theta) models require knowledge of only the soil-water retention curve, including a measurement at PSI=-100 cm H2O, and seem promising for use in deterministic and stochastic models for water transport in natural, undisturbed soils.
机译:利用23个未扰动的数据,开发了一种根据大孔隙度(epsilon100)预测未扰动土壤中饱和导水率(Ks)的新模型,该模型定义为土壤水势为(psi = -100 cm H2O)时的充气孔隙度。土壤(90个视野)。新的Ks模型与针对来自UNSODA数据库的73种未扰动土壤(191个地平线)的独立数据集进行测试时的测量结果很好地相比较,并且与现有的Ks模型相比,提供了改进的预测(精度在一个数量级内)。利用传导率和UNSODA提供的73种土壤的保水数据。新的K / Ks模型代表了最近提出的DLC和SLC模型(Poulsen等1998.Soil Science 163:425-435)的改进,用于预测筛分,重新包装的土壤中的K / Ks。修改后的DLC和SLC模型与新的Ks模型结合,产生了新的两参数(epsilon100,b)模型,用于未扰动土壤中的非饱和导水率(K(theta))。两个新的Kθ模型已针对独立的Kθ数据成功进行了测试。经典的坎贝尔(Campbell。1974.土壤科学117:311-314)K / Ks模型与新的,更准确的Ks模型相结合,得出的K(theta)预测精度几乎与修改后的DLC和SLC K(theta) ) 楷模。建议的两参数K(θ)模型仅需要了解土壤水分保持曲线,包括在PSI = -100 cm H2O时的测量值,并且似乎有望用于确定性和随机模型中自然,不受干扰的土壤中的水分传输。

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