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

机译:基于半自动提取谱系遥感数据的地下水流动路径推导

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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度模型的谱系的提取来推断地下水流路的半自动方法。这种方法在原位数据稀缺的远程和无法访问的区域中特别适用于遥控器。线性滤波的组合方法和基于对象的分类提供了一种具有高精度的谱系地图。随后,谱系被使用辅助信息分化为地质和形态学谱系,最后在水力 - 地质意义方面进行评估。使用枯生海(以色列/巴勒斯坦)的西部流域的例子,将差异化谱系的方向和位置与已知结构特征的特征进行比较。我们表明,存在依据和结构特征之间的强烈相关性。利用线和井之间的欧几里德距离提供评估标准,以评估检测到的谱系的水力意义。在此分析的基础上,我们建议对谱系的统计分析允许描绘流动路径,从而划定有关地下水运动的重要信息。为了验证流程路径,我们将它们与基于井数据的地下水模型的现有结果进行比较。

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