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Derivation of groundwater flow-paths based on semi-automatic extraction of lineaments from remote sensing data

机译:基于遥感数据线的半自动提取的地下水流径推导

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In this paper we present a semi-automatic method to infer groundwater flow-paths based on the extraction of lineaments from digital elevation models. This method is especially adequate in remote and inaccessible areas where in-situ data are scarce. The combined method of linear filtering and object-based classification provides a lineament map with a high degree of accuracy. Subsequently, lineaments are differentiated into geological and morphological lineaments using auxiliary information and finally evaluated in terms of hydro-geological significance. Using the example of the western catchment of the Dead Sea (Israel/Palestine), the orientation and location of the differentiated lineaments are compared to characteristics of known structural features. We demonstrate that a strong correlation between lineaments and structural features exists. Using Euclidean distances between lineaments and wells provides an assessment criterion to evaluate the hydraulic significance of detected lineaments. Based on this analysis, we suggest that the statistical analysis of lineaments allows a delineation of flow-paths and thus significant information on groundwater movements. To validate the flow-paths we compare them to existing results of groundwater models that are based on well data.
机译:在本文中,我们提出了一种基于从数字高程模型中提取线迹来推断地下水流径的半自动方法。这种方法在缺少现场数据的偏远和人迹罕至的地区尤其适用。线性过滤和基于对象的分类相结合的方法可提供高度精确的线条图。随后,利用辅助信息将地层划分为地质和形态地块,最后根据水文地质意义进行评估。以死海西部集水区(以色列/巴勒斯坦)为例,将差异化构造的方向和位置与已知结构特征的特征进行了比较。我们证明了在线条和结构特征之间存在很强的相关性。使用基层和孔之间的欧几里得距离提供了评估标准,以评估检测到的基层的水力重要性。基于此分析,我们建议对谱线进行统计分析可以描绘出流径,从而获得有关地下水运动的重要信息。为了验证流径,我们将其与基于井数据的地下水模型的现有结果进行了比较。

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