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Scale effect on overland flow connectivity at the plot scale

机译:地块规模对陆上流动连通性的尺度效应

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A major challenge in present-day hydrological sciences is to enhance the performance of existing distributed hydrological models through a better description of subgrid processes, in particular the subgrid connectivity of flow paths. The Relative Surface Connection (RSC) function was proposed by Antoine et al. (2009) as a functional indicator of runoff flow connectivity. For a given area, it expresses the percentage of the surface connected to the outflow boundary (iC/i) as a function of the degree of filling of the depression storage. This function explicitly integrates the flow network at the soil surface and hence provides essential information regarding the flow paths' connectivity. It has been shown that this function could help improve the modeling of the hydrograph at the square meter scale, yet it is unknown how the scale affects the RSC function, and whether and how it can be extrapolated to other scales. The main objective of this research is to study the scale effect on overland flow connectivity (RSC function). For this purpose, digital elevation data of a real field (9 × 3 m) and three synthetic fields (6 × 6 m) with contrasting hydrological responses were used, and the RSC function was calculated at different scales by changing the length (il/i) or width (iw/i) of the field. To different extents depending on the microtopography, border effects were observed for the smaller scales when decreasing il/i or iw/i, which resulted in a strong decrease or increase of the maximum depression storage, respectively. There was no scale effect on the RSC function when changing iw/i, but a remarkable scale effect was observed in the RSC function when changing il/i. In general, for a given degree of filling of the depression storage, iC/i decreased as il/i increased, the change in iC/i being inversely proportional to the change in il/i. However, this observation applied only up to approx. 50a??70% (depending on the hydrological response of the field) of filling of depression storage, after which no correlation was found between iC/i and il/i. The results of this study help identify the minimal scale to study overland flow connectivity. At scales larger than the minimal scale, the RSC function showed a great potential to be extrapolated to other scales.
机译:当前水文科学的主要挑战是通过更好地描述亚网格过程,尤其是流路的亚网格连通性,来提高现有分布式水文模型的性能。相对表面连接(RSC)功能由Antoine等人提出。 (2009年)作为径流连接的功能指标。对于给定的面积,它表示连接到流出边界的表面的百分比( C )作为凹陷存储区填充程度的函数。该功能将流网明确集成在土壤表层,从而提供有关流路连通性的基本信息。已经表明,该功能可以帮助改善水位图在平方米尺度上的建模,但是未知该尺度如何影响RSC函数,以及是否以及如何将其外推到其他尺度。这项研究的主要目的是研究尺度对陆上水流连通性(RSC函数)的影响。为此,使用了具有对比水文响应的真实场(9 x 3 m)和三个合成场(6 x 6 m)的数字高程数据,并且通过改变长度( l )或宽度( w )。根据微观形貌的不同程度,当减小 l 或 w 时,在较小尺度上观察到边界效应,从而导致最大凹陷储藏量的强烈减少或增加,分别。更改 w 时,对RSC函数没有缩放作用,但是更改 l 时,在RSC函数中观察到显着的缩放作用。通常,对于给定的凹陷存储程度, C 随着 l 的增加而降低, C 的变化与温度成反比。在 l 中进行更改。但是,此观察仅适用于大约。 50a?70%(取决于该地区的水文响应)填充了洼地,之后在 C 和 l 之间没有发现相关性。这项研究的结果有助于确定研究陆上流量连通性的最小规模。在大于最小刻度的刻度上,RSC函数显示出很大的潜力可以推算到其他刻度上。

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