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Improved radar interpretations of water table depths and groundwater flow patterns with predictive equations

机译:利用预测方程改善了水台深度和地下水流动模式的改进了雷达解释

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Recent interest in soils and hydrologic modeling has increased the need for information concerning the depth and movement of ground water. Ground-penetrating radar (GPR) was used eight times over a two-year period to chart water table depths and ground-water flow patterns within a 32-ha forested site in northwestern Indiana, USA. Radar imagery was correlated with depths to the water table in 16 observation wells. The velocity of propagation ranged from 0.0508 m/ns to 0.1606 m/ns at these wells. Propagation velocities were generally slower during the spring and early summer months when depths to the water table were relatively shallow. Propagation velocities were faster through dunes than through the more poorly drained interdunes. Because of the spatiotemporal variability in propagation velocities and the known complexity of soil and landform patterns, a predictive equation based on water table depths and two-way travel times was developed for each GPR survey. In this setting, the use of a predictive equation based on multiple GPR measurements over a known reflector substantially improved the accuracy of radar depth interpretations over single or averaged measurements.
机译:在土壤和水文模型最近的兴趣已经增加了关于地下水的深度信息和运动信息的需要。地面穿透雷达(GPR)进行八次在两年的时间内,以图表西北部美国印第安纳州一个32公顷的森林站点内地下水位深度和地下水流动模式。雷达图像与深度的水表16口中观察井相关。传播速度从0.0508米/ ns的范围在这些井0.1606米/纳秒。传播速度一般在春季和初夏几个月慢了的时候深处,地下水位相对较浅。传播速度快是通过沙丘不是通过更多的排水情况欠佳间地。由于传播速度的时空变化和土壤和地形模式的基础上,地下水位深度和双向行驶时间的预测方程已知的复杂性,为每个GPR调查开发。在该设置中,基于多个测量GPR在已知反射器的使用的预测方程的显着改进的雷达深度解释过单个或平均测量结果的准确性。

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