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The effect of spatial throughfall patterns on soil moisture patterns at the hillslope scale

机译:空间穿透方式对坡面尺度土壤水分的影响

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Improving the understanding of the controls on subsurface stormflow generation has been the goal of numerous experimental and modeling studies. However, the effect of the spatial variability of throughfall on soil moisture patterns and subsurface stormflow (SSF) generation has not yet been studied in detail. The objectives of this study are three-fold: (1) to investigate the influence of a spatially variable throughfall pattern on soil moisture; (2) to investigate if soil moisture patterns reflect a balance between a throughfall and bedrock topography patterns; and (3) to investigate how this balance changes when soil depth, storm size and slope angle are varied. Virtual experiments are used to address these questions. A virtual experiment is a numerical experiment driven by collective field intelligence. It provides a learning tool to investigate the effect of individual processes in a complex system. In our virtual experiment we combined spatial throughfall data from the Huewelerbach catchment in Luxembourg with the topography of a well-studied hillslope within the Panola Mountain Research Watershed, Georgia, USA. We used HYDRUS-3D as a modeling platform. The virtual experiment shows that throughfall patterns influence soil moisture patterns, but only during and shortly after a storm. With a semi-variogram analysis we showed how the effective range of the soil moisture pattern (i.e., the main descriptor of a spatial pattern in case of a small nugget to sill ratio), is similar to the effective range of the throughfall pattern during the storm and gradually returns to the effective range of the bedrock topography after throughfall has ceased. The same analysis was carried out to investigate how this balance changes due to changes in storm size, soil depth, and slope. The analysis showed that the throughfall pattern is more important during large storms on gentle slopes. For steeper slopes the bedrock topography becomes more important.
机译:增进对地下风暴流生成控制的理解已经成为众多实验和模型研究的目标。但是,尚未深入研究贯通流的空间变异性对土壤水分模式和地下暴雨流(SSF)产生的影响。这项研究的目标是三个方面:(1)研究空间变化的穿透模式对土壤水分的影响; (2)研究土壤湿度模式是否反映出贯穿和基岩地形模式之间的平衡; (3)研究当土壤深度,暴风雨大小和坡度角变化时这种平衡如何变化。虚拟实验用于解决这些问题。虚拟实验是由集体领域智能驱动的数值实验。它提供了一种学习工具,可以研究复杂系统中各个流程的影响。在我们的虚拟实验中,我们将来自卢森堡Huewelerbach流域的空间穿透数据与美国佐治亚州Panola山研究流域内经过精心研究的山坡的地形相结合。我们使用HYDRUS-3D作为建模平台。虚拟实验表明,穿透模式会影响土壤湿度模式,但仅在暴风雨期间和暴风后不久。通过半变异函数分析,我们显示了土壤水分模式的有效范围(即,在小块高比的情况下,空间模式的主要描述符)如何与降雨过程中穿透模式的有效范围相似。暴雨停止后,逐渐恢复到基岩地形的有效范围。进行了相同的分析以研究这种平衡如何因风暴大小,土壤深度和坡度的变化而变化。分析表明,在平缓斜坡上的大风暴期间,穿透模式更为重要。对于较陡的斜坡,基岩地形变得更为重要。

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