DOI: 10.5194/hess-22-2551-2018
Scopus记录号: 2-s2.0-85045925905
论文题名: Soil hydraulic material properties and layered architecture from time-lapse GPR
作者: Jaumann S ; , Roth K
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2018
卷: 22, 期: 4 起始页码: 2551
结束页码: 2573
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
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. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79320
Appears in Collections: 气候变化事实与影响
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作者单位: Institute of Environmental Physics, Heidelberg University, Im Neuenheimer Feld 229, Heidelberg, Germany; HGS MathComp, Heidelberg University, Im Neuenheimer Feld 205, Heidelberg, Germany; Interdisciplinary Center for Scientific Computing, Heidelberg University, Im Neuenheimer Feld 205, Heidelberg, Germany
Recommended Citation:
Jaumann S,, Roth K. Soil hydraulic material properties and layered architecture from time-lapse GPR[J]. Hydrology and Earth System Sciences,2018-01-01,22(4)