Estimation of soil hydraulic parameters by integrated hydrogeophysical inversion of time-lapse GPR data measured at Selhausen, Germany

K. Jadoon, L. Weihermuller, H. Verrecken, S. Lambot
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Abstract

We present an integrated hydrogeophysical inversion approach that uses time-lapse off-ground ground-penetrating radar (GPR) data to estimate soil hydraulic parameters, and apply it to a dataset collected in the field. Off-ground GPR data are mainly sensitive to the near-surface water content profile and dynamics, and are thus related to soil hydraulic parameters, such as the parameters of the hydraulic conductivity and water retention functions. The hydrological simulator HYDRUS 1-D was used with a two-layer single- and dual-porosity model. To monitor the soil water content dynamics, time-lapse GPR and time domain reflectometry (TDR) measurements were performed, whereby only GPR data was used in the inversion. The dual porosity model provided better results compared to the single porosity model for describing the soil water dynamics, which is supported by field observations of macropores. Furthermore, the GPR-derived water content profiles reconstructed from the integrated hydrogeophysical inversion were in good agreement with TDR observations. These results suggest that the proposed method is promising for non-invasive characterization of the shallow subsurface hydraulic properties and monitoring water dynamics at the field scale.
利用德国Selhausen时移GPR数据的综合水文地球物理反演估算土壤水力参数
本文提出了一种综合水文地球物理反演方法,该方法利用时移离地探雷达(GPR)数据估计土壤水力参数,并将其应用于现场收集的数据集。离地探地雷达数据主要对近地表含水率剖面和动态敏感,因此与土壤水力参数有关,如水力导率和保水函数参数。采用水文模拟软件HYDRUS 1-D,采用双层单孔隙率和双层孔隙率模型。为了监测土壤含水量动态,进行了时移探地雷达(GPR)和时域反射(TDR)测量,其中仅使用GPR数据进行反演。双孔隙度模型比单孔隙度模型在描述土壤水分动力学方面具有更好的效果,并得到了现场大孔隙观测的支持。综合水文地球物理反演重建的gpr水含量剖面与TDR观测结果吻合较好。这些结果表明,该方法有望实现浅层地下水力特性的非侵入性表征和现场尺度的水动力学监测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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