Bulk and Rayleigh Waves Propagation in Three-Phase Soil with Flow-Independent Viscosity

Guo, Qingqing; Liu, Hongbo; Dai, Guoliang; Li, Zhongwei

doi:10.3390/app12147166

Cited by 1 publication

(2 citation statements)

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“…The use of ultrasonic waves can be an alternative way to measure soil moisture without soil disturbances at a point scale. This technology utilizes elastic waves that propagate on the soil surface using the water‐dependent variations of wave speed and attenuation (Guo et al., 2022; Jun et al., 2017; Pan et al., 2022). This contactless soil moisture estimate has the potential to complement the measure–correlate–predict method for the GPR and CRNS.…”

Section: Introductionmentioning

confidence: 99%

“…The Rayleigh waves make the ground move in vertical and horizontal directions. The ratio of horizontal‐to‐vertical components develops the ellipticity of Rayleigh wave dispersion that is affected by the characteristics of the soil, such as stiffness, water content, and bulk density (Athanasopoulos et al., 2000; Guo et al., 2022; Jongmans & Demanet, 1993). The theoretical development of surface waves in unsaturated porous media has been developed based on Biot's theory (Biot, 1956).…”

Section: Introductionmentioning

confidence: 99%

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Contactless estimation of soil moisture using leaky Rayleigh waves and a fully convolutional network

Lee,

Woo,

Choi

2023

Vadose Zone Journal

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Soil moisture is a key factor that influences various aspects of ecosystem functioning. Measuring soil moisture without installing any objects in the soil is desirable because it allows for accurate characterizations of soil moisture while minimizing impacts on soil structure and ecology. In this study, we explored the potential of leaky Rayleigh waves as a proxy to contactlessly estimate soil moisture. We developed an ultrasonic system containing a transducer, receivers, and acoustic barrier. The specimens of sand, silt, and clay were utilized. Experiments were conducted over 4 months. We used a widely used soil‐embedded moisture sensor to compare and develop relationships between leaky Rayleigh waves and soil moisture. Our results showed that as soil moisture increased, the velocity and amplitude of leaky Rayleigh waves decreased because water molecules attracted to the soils led to their attenuation. However, their magnitudes were not considerable except for very dry soils. To overcome these limited relations to estimate soil moisture from leaky Rayleigh waves, we constructed authentic images based on the observed leaky Rayleigh waves and used them as inputs for a fully convolutional network. We found that the combination of the ultrasonic system and deep learning approach developed in this study were suitable for estimating soil moisture without soil disturbances (RMSE = 0.01 m3 m−3). This study suggests that leaky Rayleigh waves have the potential to serve as a reliable proxy for determining soil moisture without the need for physical contact.

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Section: Introductionmentioning

confidence: 99%