Estimating field-scale soil water dynamics at a heterogeneous site using multi-channel GPR

Xiong, Pan; Zhang, J.; Huang, Ping; Roth, Kurt

doi:10.5194/hess-16-4361-2012

Cited by 22 publications

(14 citation statements)

References 43 publications

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“…as shown in Table 1. Since soil porosity of the top layer is relatively easy to obtain by soil coring, θs is assumed to be known beforehand in the evaluation of the GPR observations of the mean soil water content and reflector depth of the interface (e.g., Pan et. al., 2012a Table 2 for all studied cases.…”

Section: Simulation Model and Setupmentioning

confidence: 99%

“…Quantitative observations of soil architecture and soil water content became viable during the past decade using geophysical methods. In particular, ground-penetrating radar (GPR) has been used for efficiently imaging of soil water content distribution (e.g., Huisman et al, 2003;Weihermüller, et al, 2007) and together with soil architecture (Gerhards et al, 2008;Bradford, 2008;Pan et al, 2012a;Klenk et al, 2016). In view of informative multi-dimensional water flow containing in the time-lapse spatial observations of GPR measurements, the common problem of insufficient data information from 1D observations is mitigated for inverse modeling of soil water dynamics in the vadose zone soils.…”

Section: Introductionmentioning

confidence: 99%

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Efficient estimation of effective hydraulic properties of stratal undulating surface layer using time-lapse multi-channel GPR

Pan¹,

Jaumann²,

Zhang³

et al. 2019

Preprint

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Abstract. Multi-scale soil architectures in shallow subsurface are widespread in natural and anthropogenic depositional environments, acquisition of the surface stratal structure and hydrological properties are essential to quantify water cycling. Geophysical methods like Ground-Penetrating Radar (GPR) can provide quantitative information like soil architecture and spatiotemporal soil water content distribution for the shallow layer. Concerning the informative multi-dimensional water flow in the surface layer with an undulating bottom at plot scale, this study assesses the feasibility of efficiently estimating soil hydraulic properties using a few time-lapse multi-channel GPR observations, namely soil water storage and layer thickness of the surface layer at a reclamation land near an old river channel. We show that effective hydraulic properties of the surface layer can be obtained with a small number of time-lapse GPR measurements during a rainfall event. Additionally, we analyze the effect of some key factors controlling the informative lateral water redistribution on the results of the proposed approach using synthetic simulations.

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Section: Simulation Model and Setupmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Efficient estimation of effective hydraulic properties of stratal undulating surface layer using time-lapse multi-channel GPR

Pan¹,

Jaumann²,

Zhang³

et al. 2019

Preprint

View full text Add to dashboard Cite

show abstract

“…The non-invasive character of GPR offers the mobility needed to map soil water content of large areas (up to 500 m × 500 m a day) [3]. GPR method for measuring soil moisture is widely used in irrigation experiments [4], monitoring soil moisture dynamic [5][6][7], agriculture [8][9][10], and observation of long time series [11,12]. FO method, CMP method, and Wide angle reflection and refraction (WARR) method are the three commonly used methods of GPR.…”

Section: Introductionmentioning

confidence: 99%

An Examination of Soil Moisture Estimation Using Ground Penetrating Radar in Desert Steppe

Song

et al. 2017

Water

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Ground penetrating radar (GPR) is a new technique of rapid soil moisture measurement, which is an important approach to measure soil moisture at the intermediate scale. To test the applicability of GPR method for soil moisture in desert steppe, we used the common-mid point (CMP) method and fixed offset (FO) method to evaluate the influence factors and the accuracy of GPR measurement with gravimetric soil moisture measurements. The experiments showed that Topp's equation is more suitable than Roth's equation for processing the GPR data in desert steppe and the soil moisture measurements by GPR had high accuracy by either CMP method or FO method. To a certain extent, the vegetation coverage affects the measurement precision and the soil moisture profile. The precipitation can reduce the effective sampling depth of the ground wave from 0.1 m to 0.05 m. The results revealed that GPR has the advantages of high measurement accuracy, easy movement, simple operation, and no damage to the soil layer structure.

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“…Gerber et al (2010) demonstrated that a small layer thickness (20 to 30 cm) can be detected by GPR. A further GPR study by Pan et al (2012) measured the water content on a heterogeneous field site. They found plant water stress reduction of biomass related to structural heterogeneity.…”

mentioning

confidence: 99%

Linking Geophysics and Soil Function Modeling—An Application Study for Biomass Production

Krüger

Franko

Fank

et al. 2013

Vadose Zone Journal

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Modeling of soil functions often faces rough estimations of soil properties. These rough estimations originate from coarse soil survey maps and miss to adequately represent small‐scale soil heterogeneity. This study presents an approach to account for this heterogeneity to improve biomass production modeling. We employed two common proximal soil sensing (PSS) methods: ground penetrating radar (GPR) and electromagnetic induction (EMI) to describe soil depths over small spatial scales at the field site Wagna (Austria). The experiment encompasses highly heterogenic soil depth variations of fine topsoil above sandy subsoil. These variations are only roughly contained in the “standard” soil parameterization (STSP) although they strongly influence the local soil water balance. To adequately map small scale soil depth variation for the entire experiment we exploited the advantages of GPR (exact detection of boundary depth between top‐ and subsoil) and EMI (rapid scan on field scales to obtain distinct soil patterns). Both, the resulting small scale “geophysical adapted” soil map and the coarse scale STSP served as soil input for Carbon and Nitrogen Dynamics (CANDY) Plant Universal Simulator (PLUS) to model plant biomass production. The validation with “geophysical adapted” parameterization indicated an improved performance with a RMSE of the modeled grain biomass of 1762.7 kg ha−1 in comparison to 3584.6 kg ha−1 with STSP. The result demonstrated PSS to provide important small‐scale soil data that can improve agro‐ecosystem modeling.

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Estimating field-scale soil water dynamics at a heterogeneous site using multi-channel GPR

Cited by 22 publications

References 43 publications

Efficient estimation of effective hydraulic properties of stratal undulating surface layer using time-lapse multi-channel GPR

Efficient estimation of effective hydraulic properties of stratal undulating surface layer using time-lapse multi-channel GPR

An Examination of Soil Moisture Estimation Using Ground Penetrating Radar in Desert Steppe

Linking Geophysics and Soil Function Modeling—An Application Study for Biomass Production

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