Soil water content detection based on acoustic method and improved Brutsaert’s model

Xu, Yongzhi; Li, Jun; Duan, Jieli; Song, Shuaishuai; Jiang, Rui; Zhou, Yang

doi:10.1016/j.geoderma.2019.114003

Cited by 17 publications

(6 citation statements)

References 40 publications

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“…3; as shown, the acoustic attenuation coefficient increased while acoustic velocity decreased with increasing soil volumetric water content. This result is very similar to those of other researchers [24,33,39] [35].…”

Section: A Development Of Svwc Calibration Models Based On Pulse Acosupporting

confidence: 93%

“…Their results showed that Brutsaert's model effectively evaluated the moisture content of sandy soil [29][30][31][32]. However, according to the research results of Xu et al [33], although the measured P-wave velocity values were consistent with the trend of Brutsaert's model curve, the root mean square error (RMSE) between them was 13.15. Meanwhile, the RMSE of the improved Brutsaert's model's theoretical curve considering the change of soil Poisson's ratio was only 3.71.…”

Section: Introductionmentioning

confidence: 94%

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Study on the Detection of Soil Water Content Based on the Pulsed Acoustic Wave (PAW) Method

Duan

Jiang

et al. 2021

IEEE Access

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The primary objective of this work was the utilization of the pulsed acoustic wave (PAW) method to explore the feasibility of measuring soil water content (SWC) based on the soil acoustic parameter acquisition (SAPA) system. Acoustic parameters (pulse acoustic velocity and acoustic attenuation coefficient) were collected from paddy soil (clay), red soil (loam), and lateritic-red soil (clay loam) under different SWCs. The calibration models of the pulse acoustic velocity, the attenuation coefficient, and the double acoustic parameters with the soil volumetric water content (SVWC) were established through fitting analysis. We studied the repeatability and reproducibility of the calibration models and conducted an extensive field experiment for 40 days to evaluate the calibration model's ability to predict SVWC. The results showed that the repeatability and reproducibility of the SVWC calibration model based on pulse acoustic velocity were the best, which showed that the acoustic velocity was more suitable for the inversion of SVWC than the acoustic attenuation coefficient. The 40-day field study's experimental results also verified the potential value of pulse acoustic velocity in SVWC detection. INDEX TERMS acoustic parameters, soil volumetric water content, calibration model, pulse acoustic velocity.

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Section: A Development Of Svwc Calibration Models Based On Pulse Acosupporting

confidence: 93%

Section: Introductionmentioning

confidence: 94%

Study on the Detection of Soil Water Content Based on the Pulsed Acoustic Wave (PAW) Method

Duan

Jiang

et al. 2021

IEEE Access

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Section: In Situ Paired Transceiver Approachesmentioning

confidence: 99%

“…Experiments using radio, acoustic and seismic wave propagation through soil and rock have shown that wave velocity and signal attenuation are influenced by moisture content [59][60][61][62][63][64][65]. Paired transceiver approaches involve using the velocity or attenuation of either radio, acoustic or seismic waves sent between the paired buried transceivers to infer soil moisture content Paired transceiver approaches present a tantalizing opportunity for the development of soil moisture sensors which have potential to operate over distances of several meters.…”

Section: In Situ Paired Transceiver Approachesmentioning

confidence: 99%

“…In both seismic and acoustic wave approaches, soil moisture is estimated from the propagation velocity of P waves according to the Brutsaert model which requires knowledge of difficult to measure soil properties including soil porosity, effective pressure and the interstitial parameter Z [62,[74][75][76]. Consequently, research effort has been directed to simplification of the Brutsaert model to reduce the unknown parameters, and investigation into the potential to use other waves, specifically the S waves to infer unknown soil parameters or classify soil types for which the unknown parameters are known [59,61,76].…”

Section: In Situ Paired Transceiver Approachesmentioning

confidence: 99%

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Review of Novel and Emerging Proximal Soil Moisture Sensors for Use in Agriculture

Hardie

2020

Sensors

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The measurement of soil moisture in agriculture is currently dominated by a small number of sensors, the use of which is greatly limited by their small sampling volume, high cost, need for close soil–sensor contact, and poor performance in saline, vertic and stony soils. This review was undertaken to explore the plethora of novel and emerging soil moisture sensors, and evaluate their potential use in agriculture. The review found that improvements to existing techniques over the last two decades are limited, and largely restricted to frequency domain reflectometry approaches. However, a broad range of new, novel and emerging means of measuring soil moisture were identified including, actively heated fiber optics (AHFO), high capacity tensiometers, paired acoustic / radio / seismic transceiver approaches, microwave-based approaches, radio frequency identification (RFID), hydrogels and seismoelectric approaches. Excitement over this range of potential new technologies is however tempered by the observation that most of these technologies are at early stages of development, and that few of these techniques have been adequately evaluated in situ agricultural soils.

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Training strategy and intelligent model for in-situ rapid measurement of subgrade compactness

Wang,

Li,

et al. 2024

Automation in Construction

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Soil water content detection based on acoustic method and improved Brutsaert’s model

Cited by 17 publications

References 40 publications

Study on the Detection of Soil Water Content Based on the Pulsed Acoustic Wave (PAW) Method

Study on the Detection of Soil Water Content Based on the Pulsed Acoustic Wave (PAW) Method

Review of Novel and Emerging Proximal Soil Moisture Sensors for Use in Agriculture

Training strategy and intelligent model for in-situ rapid measurement of subgrade compactness

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