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Piezometry mapping accuracy based on elevation extracted from various spatial data sources

机译:基于从各种空间数据源中提取的高程的测压法测绘精度

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摘要

Any hydrogeological conceptual model of an aquifer requires a piezometric map to enable defining flow direction, hydraulic gradient, groundwater recharge and discharge zones. Thus, the piezometric head calculation requires an accurate assessment of the elevation and the depth to water in monitoring wells. The main concern of aquifer managers remains the elevation estimate with a satisfactory accuracy, particularly in developing countries, where a lack of well surveying data is frequently encountered. A solution to this situation may be found in the use of digital elevation models (DEMs). In the present paper, a methodology to extract well elevations from DEMs based on datasets from Shuttle Radar Topography Mission (SRTM), Google Earth and digitized topographic map is presented. Statistical analyses of the elevations derived from a topographic field survey and the relative DEMs and piezometric map comparisons are used to assess the elevation accuracy. The DEM generated from the topographic map (TopoDEM) resulted in the closest match to the surveyed one with a correlation coefficient of 0.98 and a root mean square error of 0.76. The elevation from SRTM and Google Earth DEMs lead to an underestimation of the piezometry with the poorest performance from Google Earth DEM.
机译:含水层的任何水文地质概念模型都需要测压图,以定义流向,水力梯度,地下水补给和排放区域。因此,测压水头计算需要对监测井中水位的高程和深度进行准确评估。含水层管理者的主要关切仍然是高程估计值具有令人满意的准确性,特别是在发展中国家,那里经常缺乏良好的勘测数据。使用数字高程模型(DEM)可以找到针对这种情况的解决方案。在本文中,提出了一种基于航天飞机雷达地形任务(SRTM),Google Earth和数字化地形图的数据集从DEM提取井高的方法。从地形现场调查得出的海拔高度的统计分析以及相对DEM和测压图的比较用于评估海拔高度的准确性。从地形图(TopoDEM)生成的DEM与被调查者最接近,相关系数为0.98,均方根误差为0.76。 SRTM和Google Earth DEM的高度导致低估了测压法,而Google Earth DEM的性能最差。

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