Predicting subgrid variability of soil water content from basic soil information

Predicting subgrid variability of soil water content from basic soil information
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从基本土壤信息预测土壤含水量的亚网格变异性

DOI:
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发表时间:
2015
期刊:
影响因子:
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通讯作者:
H. Vereecken
H. Vereecken
中科院分区:
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文献类型:
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作者:
W. Qu;H. Bogena;J. Huisman;J. Vanderborght;Max Schuh;E. Priesack;H. Vereecken

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模型网格单元内未解决的土壤含水量变异性的知识(即,次网格变率)对于准确预测地表能量和水文通量非常重要。在此,我们基于货车van Schuchten-Mualem(VGM)模型,利用一维非饱和重力流的随机分析,推导出一个封闭形式的表达式,用以描述土壤含水量变异性如何依赖于平均土壤含水量(σθ())。敏感性分析表明,n参数对σθ()最大值的形状和大小有很大影响。闭合形式的表达式用于预测具有不同土壤质地的八个数据集的σθ(),使用从依赖于可用土壤信息的土壤传递函数获得的VGM参数。一般来说,观测和预测的σθ()之间有很好的一致性,尽管用于推导封闭形式表达式的明显简化。此外,新的封闭形式的表达式被成功地用于从观测到的σθ()数据反估计水力特性的变异性。
Knowledge of unresolved soil water content variability within model grid cells (i.e., subgrid variability) is important for accurate predictions of land‐surface energy and hydrologic fluxes. Here we derived a closed‐form expression to describe how soil water content variability depends on mean soil water content (σθ()) using stochastic analysis of 1‐D unsaturated gravitational flow based on the van Genuchten‐Mualem (VGM) model. A sensitivity analysis showed that the n parameter strongly influenced both the shape and magnitude of the maximum of σθ(). The closed‐form expression was used to predict σθ() for eight data sets with varying soil texture using VGM parameters obtained from pedotransfer functions that rely on available soil information. Generally, there was good agreement between observed and predicted σθ() despite the obvious simplifications that were used to derive the closed‐form expression. Furthermore, the novel closed‐form expression was successfully used to inversely estimate the variability of hydraulic properties from observed σθ() data.
DOI: 10.1007/s11104-010-0692-8
发表时间: 2011-01
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影响因子: 4.9
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发表时间: 2012
影响因子: 5.4
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