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Analysis of spatial variability of hydraulic conductivity at field scale

机译:田间水力传导率空间变异性分析

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Hydraulic conductivity, a vital input parameter in physically based rainfall-runoff modeling approaches, determined by double ring infiltrometer and Guelph permeameter along and across the slope of a field, was analyzed using conventional statisticaltechniques and geo-statistical techniques such as auto-correlation, variogram, and kriging. The results confirmed that geo-statistical techniques better describe spatial variability of hydraulic conductivity than conventional statistical techniques. Thehydraulic conductivity shows more spatial variability along the field slope than across the field slope. Therefore, more samples were required along the field slope than across the field slope to obtain a truly representative value of hydraulic conductivity. The results indicated that kriging produces a convenient smooth hydraulic conductivity surface, which may be helpful in the quantification of dominant runoff generation mechanisms and identification of runoff generation areas.
机译:使用传统的统计技术和地统计学技术(例如自相关,变异函数)分析了水力传导率,这是基于物理的降雨径流建模方法中的重要输入参数,由双环渗透计和圭尔夫渗透仪确定,沿着田间和整个田地倾斜。和克里金法。结果证实,与常规统计技术相比,地统计学技术可以更好地描述水力传导率的空间变异性。流体电导率沿田野坡度比沿田野坡度显示出更大的空间变异性。因此,为了获得水力传导率的真实代表值,沿着田间坡度比田间坡度需要更多的样品。结果表明,克里格法产生了一个方便的光滑的水力传导表面,这可能有助于量化主要的径流产生机理和识别径流产生区域。

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