利用阵列天线探地雷达时延多偏移集估计入渗前沿深度

H. Saito, Nobuhito Nagai, S. Kuroda, J. Sala
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引用次数: 0

摘要

在日本鸟取沙丘附近的一个试验田进行了入渗试验,利用地面阵列探地雷达(GPR)系统估算了湿润锋深度。本研究使用的阵列GPR系统由10个发射天线(Tx)和11个接收天线(Rx)水平排列组成,在不到1.5秒的时间内扫描110种不同的天线组合。利用入渗试验时移多偏移集(MOG)数据重构共偏移集(COG)和共中点集(CMP)数据。在测量过程中,阵列天线的位置是固定的,以确保数据的再现性。很少有研究使用阵列GPR系统收集的CMP数据进行进一步的速度分析。本研究通过拟合双曲线方程,每隔1分钟从重构的CMP数据中估计出电磁波速度结构。利用估计的电磁波速度,计算了润湿锋的深度。预估的入渗锋到达时间与土壤水分传感器独立测量的土壤介电常数在20 cm以下深度突然增加的时间吻合较好,表明阵列探地雷达系统能够对连续移动的入渗锋进行深度跟踪。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimating Infiltration Front Depth using Time-Lapse Multi-Offset Gathers Obtained from Array Antenna Ground Penetrating Radar
A surface array ground penetrating radar (GPR) system was used to estimate the wetting front depth during an infiltration experiment conducted at an experimental field near Tottori Sand Dune, Japan. The array GPR system used in this study consists with 10 transmitting antennas (Tx) and 11 receiving antennas (Rx) aligned horizontally and scans 110 different antenna combinations in less than 1.5 seconds. Common-offset gather (COG) and common mid-point data (CMP) were reconstructed from the time-lapse multi-offset gather (MOG) collected during the infiltration experiment. During the measurement, the array antenna position was fixed to ensure data reproducibility. There have been few studies that used CMP data collected from the array GPR system for further velocity analysis. In this study, electromagnetic (EM) wave velocity structure was estimated from the reconstructed CMP data every 1 minute by fitting the hyperbola equation. Using the estimated EM wave velocity, the depth to the wetting front was computed. The estimated wetting front arrival time agree well with the time when the sudden increase in the soil dielectric constant measured independently with a soil moisture sensor was observed at the depth below 20 cm, This study demonstrates that the array GPR system is capable of tracking the depth to the continuously moving infiltration front.
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