Use of seasonal trend decomposition to understand groundwater behaviour in the Permo-Triassic Sandstone aquifer, Eden Valley, UK
Use of seasonal trend decomposition to understand groundwater behaviour in the Permo-Triassic Sandstone aquifer, Eden Valley, UK
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DOI：
10.1007/s10040-015-1309-3
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发表时间：
2016-02-01
影响因子：
2.8
通讯作者：
Hughes, Andrew G.
中科院分区：
文献类型：
--
作者：
Lafare, Antoine E. A.;Peach, Denis W.;Hughes, Andrew G.
采用LOESS季节趋势分解（STL）技术，研究了英国伊登谷二叠-三叠系砂岩含水层地下水位的日响应。将二叠-三叠系18个钻孔的水文过程线分解为三个分量：季节性分量、总趋势分量和剩余分量。首先对分解进行视觉分析，然后使用涉及方差比、时间序列层次聚类和相关性分析的工具。分解模式的差异和相似之处进行了解释使用的物理和水文地质信息与每个钻孔。彭里斯砂岩具有垂直和水平的异质性，而更均匀的圣蜜蜂砂岩地下水水文特征的季节性，但是，可以确定的例外。在北方彭里斯砂岩的硅化部分获得了更强的趋势分量，而南方彭里斯，包含Brockram（角砾岩）地层，显示出更大的季节性分量的相对变化。作为浅/深对钻探的其他钻孔显示出不同的响应，揭示了彭里斯砂岩内潜在的垂直非均质性。Penrith和St Bees砂岩地层之间和内部基岩特性的差异似乎会影响GWL响应。然后使用去季节化和去趋势化的GWL时间序列来表征响应，例如记忆效应（自相关分析）。通过应用STL方法，可以分析GWL水文过程线，从而更好地理解地下水流的概念。因此，地下水响应的变化可用于深入了解含水层的物理特性，并了解地下水行为的差异。
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.