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Use of seasonal trend decomposition to understand groundwater behaviour in the Permo-Triassic Sandstone aquifer, Eden Valley, UK

机译:利用季节性趋势分解来了解英国伊甸谷二叠系-三叠纪砂岩含水层中的地下水行为

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The daily groundwater level (GWL) response in the Permo-Triassic Sandstone aquifers in the Eden Valley, England (UK), has been studied using the seasonal trend decomposition by LOESS (STL) technique. The hydrographs from 18 boreholes in the Permo-Triassic Sandstone were decomposed into three components: seasonality, general trend and remainder. The decomposition was analysed first visually, then using tools involving a variance ratio, time-series hierarchical clustering and correlation analysis. Differences and similarities in decomposition pattern were explained using the physical and hydrogeological information associated with each borehole. The Penrith Sandstone exhibits vertical and horizontal heterogeneity, whereas the more homogeneous St Bees Sandstone groundwater hydrographs characterize a well-identified seasonality; however, exceptions can be identified. A stronger trend component is obtained in the silicified parts of the northern Penrith Sandstone, while the southern Penrith, containing Brockram (breccias) Formation, shows a greater relative variability of the seasonal component. Other boreholes drilled as shallow/deep pairs show differences in responses, revealing the potential vertical heterogeneities within the Penrith Sandstone. The differences in bedrock characteristics between and within the Penrith and St Bees Sandstone formations appear to influence the GWL response. The deseasonalized and de-trended GWL time series were then used to characterize the response, for example in terms of memory effect (autocorrelation analysis). By applying the STL method, it is possible to analyse GWL hydrographs leading to better conceptual understanding of the groundwater flow. Thus, variation in groundwater response can be used to gain insight into the aquifer physical properties and understand differences in groundwater behaviour.
机译:通过使用LOESS(STL)技术进行季节趋势分解,研究了英国伊甸谷(Eden Valley)的Permo-Triassic砂岩含水层中的每日地下水位(GWL)响应。来自Permo-Triassic砂岩的18个钻孔的水文图被分解为三个部分:季节性,总体趋势和剩余部分。首先对视觉分解进行分析,然后使用涉及方差比,时间序列层次聚类和相关分析的工具进行分析。使用与每个钻孔相关的物理和水文地质信息解释了分解模式的差异和相似之处。 Penrith砂岩表现出垂直和水平的非均质性,而更均匀的St Bees砂岩地下水水位则表现出明显的季节性特征。但是,可以识别异常。北部Penrith砂岩的硅化部分获得了更强的趋势成分,而包含Brockram(角砾岩)地层的Penrith南部则显示出季节性成分的相对变化较大。以浅/深对钻井的其他钻孔表现出不同的响应,揭示了彭里斯砂岩内部潜在的垂直非均质性。 Penrith和St Bees砂岩地层之间以及内部的基岩特征差异似乎会影响GWL响应。然后使用经过反季节化和去趋势化的GWL时间序列来表征响应,例如在记忆效应方面(自相关分析)。通过应用STL方法,可以分析GWL水文图,从而更好地从概念上理解地下水流。因此,地下水响应的变化可用于深入了解含水层的物理性质并了解地下水行为的差异。

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