气候变化领域集成服务门户(CCPortal): Soil hydraulic material properties and layered architecture from time-lapse GPR

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DOI	10.5194/hess-22-2551-2018
	Soil hydraulic material properties and layered architecture from time-lapse GPR
	Jaumann S.; Roth K.
发表日期	2018
ISSN	1027-5606
起始页码	2551
结束页码	2573
卷号	22 期号:4
英文摘要	Quantitative knowledge of the subsurface material distribution and its effective soil hydraulic material properties is essential to predict soil water movement. Ground-penetrating radar (GPR) is a noninvasive and nondestructive geophysical measurement method that is suitable to monitor hydraulic processes. Previous studies showed that the GPR signal from a fluctuating groundwater table is sensitive to the soil water characteristic and the hydraulic conductivity function. In this work, we show that the GPR signal originating from both the subsurface architecture and the fluctuating groundwater table is suitable to estimate the position of layers within the subsurface architecture together with the associated effective soil hydraulic material properties with inversion methods. To that end, we parameterize the subsurface architecture, solve the Richards equation, convert the resulting water content to relative permittivity with the complex refractive index model (CRIM), and solve Maxwell's equations numerically. In order to analyze the GPR signal, we implemented a new heuristic algorithm that detects relevant signals in the radargram (events) and extracts the corresponding signal travel time and amplitude. This algorithm is applied to simulated as well as measured radargrams and the detected events are associated automatically. Using events instead of the full wave regularizes the inversion focussing on the relevant measurement signal. For optimization, we use a global-local approach with preconditioning. Starting from an ensemble of initial parameter sets drawn with a Latin hypercube algorithm, we sequentially couple a simulated annealing algorithm with a Levenberg-Marquardt algorithm. The method is applied to synthetic as well as measured data from the ASSESS test site. We show that the method yields reasonable estimates for the position of the layers as well as for the soil hydraulic material properties by comparing the results to references derived from ground truth data as well as from time domain reflectometry (TDR). © Author(s) 2018.
语种	英语
scopus关键词	Geological surveys; Ground penetrating radar systems; Groundwater; Heuristic algorithms; Maxwell equations; Nondestructive examination; Refractive index; Simulated annealing; Soil moisture; Time domain analysis; Travel time; Complex refractive index models; Geophysical measurements; Ground penetrating radar (GPR); Hydraulic conductivity functions; Levenberg-Marquardt algorithm; Simulated annealing algorithms; Soil water characteristics; Time domain reflectometry; Soil testing; algorithm; ground penetrating radar; hydraulic conductivity; optimization; parameterization; refractive index; Richards equation; simulated annealing; soil property; soil water; time domain reflectometry; travel time; water content
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/160043
作者单位	Jaumann, S., Institute of Environmental Physics, Heidelberg University, Im Neuenheimer Feld 229, Heidelberg, 69120, Germany, HGS MathComp, Heidelberg University, Im Neuenheimer Feld 205, Heidelberg, 69120, Germany; Roth, K., Institute of Environmental Physics, Heidelberg University, Im Neuenheimer Feld 229, Heidelberg, 69120, Germany, Interdisciplinary Center for Scientific Computing, Heidelberg University, Im Neuenheimer Feld 205, Heidelberg, 69120, Germany
推荐引用方式 GB/T 7714	Jaumann S.,Roth K.. Soil hydraulic material properties and layered architecture from time-lapse GPR[J],2018,22(4).
APA	Jaumann S.,&Roth K..(2018).Soil hydraulic material properties and layered architecture from time-lapse GPR.Hydrology and Earth System Sciences,22(4).
MLA	Jaumann S.,et al."Soil hydraulic material properties and layered architecture from time-lapse GPR".Hydrology and Earth System Sciences 22.4(2018).