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Using Isomap to differentiate between anthropogenic and natural effects on groundwater dynamics in a complex geological setting

机译:在复杂的地质环境中使用Isomap区分人为和自然对地下水动力学的影响

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摘要

Due to increasing demands and competition for high quality groundwater resources in many parts of the world, there is an urgent need for efficient methods that shed light on the interplay between complex natural settings and anthropogenic impacts. Thus a new approach is introduced, that aims to identify and quantify the predominant processes or factors of influence that drive groundwater and lake water dynamics on a catchment scale. The approach involves a non-linear dimension reduction method called Isometric feature mapping (Isomap). This method is applied to time series of groundwater head and lake water level data from a complex geological setting in Northeastern Germany. Two factors explaining more than 95% of the observed spatial variations are identified: (1) the anthropogenic impact of a waterworks in the study area and (2) natural groundwater recharge with different degrees of dampening at the respective sites of observation. The approach enables a presumption-free assessment to be made of the existing geological conception in the catchment, leading to an extension of the conception. Previously unknown hydraulic connections between two aquifers are identified, and connections revealed between surface water bodies and groundwater. (C) 2014 Elsevier B.V. All rights reserved.
机译:由于世界许多地方对优质地下水资源的需求增加和竞争,迫切需要一种有效的方法,以揭示复杂的自然环境与人为影响之间的相互作用。因此,引入了一种新方法,旨在识别和量化在集水区尺度上驱动地下水和湖泊水动力学的主要过程或影响因素。该方法涉及一种称为等距特征映射(Isomap)的非线性降维方法。该方法适用于德国东北部复杂地质环境中地下水源头和湖泊水位数据的时间序列。确定了两个因素,这些因素解释了超过95%的观测到的空间变化:(1)研究区域内水厂的人为影响,以及(2)在各个观测点具有不同衰减程度的天然地下水补给。该方法可以对流域中现有的地质构想进行无假设的评估,从而扩大了构想。确定了两个含水层之间以前未知的液压连接,并揭示了地表水体和地下水之间的连接。 (C)2014 Elsevier B.V.保留所有权利。

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