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首页> 外文期刊>Journal of Hydrology >Sequential and coupled inversion of horizontal borehole ground penetrating radar data to estimate soil hydraulic properties at the field scale
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Sequential and coupled inversion of horizontal borehole ground penetrating radar data to estimate soil hydraulic properties at the field scale

机译:水平钻孔地面穿透雷达数据的顺序和耦合反演,以估算田径的土壤液压特性

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摘要

Horizontal borehole ground penetrating radar (GPR) measurements can provide valuable information on soil water content (SWC) dynamics in the vadose zone, and hence show potential to estimate soil hydraulic properties. In this study, the performance of both sequential and coupled inversion workflows to obtain soil hydraulic properties from time-lapse horizontal borehole GPR data obtained during an infiltration experiment were compared using a synthetic modelling study and the analysis of actual field data. The sequential inversion using the vadose zone flow model HYDRUS-1D directly relied on SWC profiles determined from the travel time of GPR direct waves using the straight-wave approximation. The synthetic modelling study showed that sequential inversion did not provide accurate estimates of the soil hydraulic parameters due to interpretation errors in the estimated SWC near the infiltration front and the ground surface. In contrast, the coupled inversion approach, which combined HYDRUS-1D with a forward model of GPR wave propagation (gprMax3D) and GPR travel time information, provided accurate estimates of the hydraulic properties in the synthetic modelling study. The application of the coupled inversion approach to measured borehole GPR data also resulted in plausible estimates of the soil hydraulic parameters. It was concluded that coupled inversion should be preferred over sequential inversion of time-lapse horizontal borehole GPR data in the presence of strong SWC gradients that occur during infiltration events.
机译:水平钻孔探地雷达(GPR)测量可提供包气带土壤含水量(SWC)动态的有价值信息,因此显示出估算土壤水力性质的潜力。在本研究中,通过综合建模研究和对实际现场数据的分析,比较了从渗透试验期间获得的延时水平钻孔探地雷达数据中获取土壤水力特性的顺序和耦合反演工作流程的性能。使用包气带流模型HYDRUS-1D进行的顺序反演直接依赖于使用直波近似的探地雷达直达波传播时间确定的SWC剖面。综合建模研究表明,由于入渗前缘和地表附近估计的SWC存在解释错误,顺序反演无法提供土壤水力参数的准确估计。相比之下,将HYDRUS-1D与探地雷达波传播正演模型(gprMax3D)和探地雷达走时信息相结合的耦合反演方法在综合建模研究中提供了准确的水力特性估计。将耦合反演方法应用于实测的钻孔探地雷达数据,也得到了土壤水力参数的合理估计。得出的结论是,在存在渗透事件期间发生的强SWC梯度的情况下,耦合反演应优先于时间推移水平钻孔探地雷达数据的顺序反演。

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