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Inference of Vertical Soil Moisture Distribution using High-Frequency CMP and Reflection Traveltime Analysis

机译:使用高频CMP和反射旅行时间分析推理垂直土壤湿度分布

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High-frequency ground-penetrating radar (GPR) surveys were used to investigate temporal water content variations in a vertical soil column characterized by stratified clean sand deposits over multiple annual cycles. Reflection profiling and common-midpoint (CMP) soundings were coincidently performed using 900 MHz antennas across a 2 m intensive monitoring profile. Our ability to identify fixed reflection events along a vertical soil profile permits inference of soil water flux across defined soil intervals in a non-invasive manner. Soil moisture contents were estimated from two-way traveltime measurements between seasonally coherent stratigraphic interfaces in the upper 2-3 m of soil. Interval thicknesses between stratigraphic interfaces were estimated from normal-moveout velocity analysis of coincidently collected CMP soundings. Interval traveltimes from reflection profiles were then converted to wave velocity using the interval thickness estimates and a volumetric water content estimate using an appropriate petrophysical relationship. The GPR effectively characterized long (e.g., seasonal trends) and short-period (e.g., distinct wetting events) variations in vertical soil moisture distribution.
机译:高频接地渗透雷达(GPR)调查用于研究垂直土柱中的颞含水含量变化,其特征在于多个年周周期的分层清洁砂沉积物。反射分析和共同中点(CMP)探测在2米强化监测配置文件中使用900 MHz天线进行巧合。我们能够沿着垂直土壤剖面识别固定反射事件的能力允许以非侵入方式推断土壤水磁通量跨定界的土壤间隔。土壤水分含量从季节相干地层接口之间的双向传播时间测量土壤中的上2-3米估计。地层界面之间的间隔厚度估计了恰好收集的CMP探测的正常变速速度分析。然后使用适当的岩石物理关系将来自反射轮廓的间隔行进倍数转化为波速和体积水含量估计。 GPR有效地表征了长(例如,季节性趋势)和短时间(例如,不同的润湿事件)垂直土壤水分分布的变化。

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