Physical characterisation of soils recovered from the ANZAC battlefield

Orangi, Amir; Narsilio, Guillermo A.

doi:10.3997/1873-0604.2016034

Cited by 4 publications

(3 citation statements)

References 29 publications

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“…This likely explains why a single calibration has been adopted for a range of soil types in previous studies (e.g., see [53,54,84,85]). The empirical Topp calibration proposed by Topp, Davis and Annan [53] was based on soils ranging from heavy clay to sandy loam; however, it is unable to accurately estimate the water content of some soil samples tested in the current study and also in a number of previous studies (e.g., [86,87,88,89,90]). Nonetheless, it is currently one of the most widely used empirical calibrations for estimating water content using soil dielectric properties.…”

Section: Results Analyses and Discussionmentioning

confidence: 89%

A Laboratory Study on Non-Invasive Soil Water Content Estimation Using Capacitive Based Sensors

Orangi

Narsilio

Ryu

2019

Sensors

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Soil water content is an important parameter in many engineering, agricultural and environmental applications. In practice, there exists a need to measure this parameter rather frequently in both time and space. However, common measurement techniques are typically invasive, time-consuming and labour-intensive, or rely on potentially risky (although highly regulated) nuclear-based methods, making frequent measurements of soil water content impractical. Here we investigate in the laboratory the effectiveness of four new low-cost non-invasive sensors to estimate the soil water content of a range of soil types. While the results of each of the four sensors are promising, one of the sensors, herein called the “AOGAN” sensor, exhibits superior performance, as it was designed based on combining the best geometrical and electronic features of the other three sensors. The performance of the sensors is, however, influenced by the quality of the sensor-soil coupling and the soil surface roughness. Accuracy was found to be within 5% of volumetric water content, considered sufficient to enable higher spatiotemporal resolution contrast for mapping of soil water content.

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Section: Results Analyses and Discussionmentioning

confidence: 89%

A Laboratory Study on Non-Invasive Soil Water Content Estimation Using Capacitive Based Sensors

Orangi

Narsilio

Ryu

2019

Sensors

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“…This likely explains why a single calibration has been adopted for a range of soil types in previous studies (e.g., see [53,54,84,85]). The empirical Topp calibration proposed by Topp, Davis and Annan [53] was based on soils ranging from heavy clay to sandy loam; however, it is unable to accurately estimate the water content of some soil samples tested in the current study and also in a number of previous studies (e.g., [86][87][88][89][90]). Nonetheless, it is currently one of the most widely used empirical calibrations for estimating water content using soil dielectric properties.…”

Section: Effect Of Soil Type On the Calibration Of The Sensormentioning

confidence: 75%

Humidity Sensors

2019

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Andrews, respectively. He has valuable experience assessing the activity of the body and its component systems. His awareness for measurement accuracy issues in clinical technology was first raised while working on ear thermometry with the UK's National Physical Laboratory. He was awarded a full professorship of Clinical Technology at the University of Glamorgan in 2008. His current interests surround the use of technology to better understand the role of neurophysiological sensory feedback mechanisms, with the aim to eventually create intelligent replacements for those with sensory deficits. This includes relating perceptions of the person to body-seat interface parameters, assessing and preventing cervical spine dysfunction in elite sports and optimizing brain-computer interfacing.

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“…A dielectric slim form probe was used to measure the dielectric properties of the soil samples in situ. The dielectric properties values were measured with three replications, as suggested in [29], and the mean values were used for data analysis. The setup for measuring dielectric properties is depicted in Figure 3.…”

Section: Measurement Of Dielectric Propertiesmentioning

confidence: 99%

Measurement of Dielectric Properties in Soil Contaminated by Biodiesel-Diesel Blends Based on Radio Frequency Heating

et al. 2023

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Several recent studies have found that measuring the dielectric permittivity of soil can be used to determine the level of environmental pollution. However, there is limited research on the measurement of dielectric properties in soil contaminated with biodiesel-diesel blends from Thailand. This paper presents to monitor the dielectric properties of soil contaminated with biodiesel-diesel blends. Specifically, we use the commercial grade diesel B7 to contaminate a sample of sand soil. We also study the measurement of dielectric properties in contaminated soil with the diesel B7 using a dual electrode plate-based radio frequency (RF) heating system. This allows us to observe the behavior of the contaminated soil before and after RF heating treatment. The experimental result showed that the dielectric properties of uncontaminated and contaminated soil were different. In addition, the RF heating system utilizing the electric field intensities of 450 kV/m resulted in the dielectric properties of the contaminated soil becoming similar to those of uncontaminated soil. These findings suggest that using RF heating on contaminated soil samples improve the air in the pore space compared to unheated contaminated soil. This approach may be effective for the treatment of soil in Thailand using an RF heating system with dual electrode plates.

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Physical characterisation of soils recovered from the ANZAC battlefield

Cited by 4 publications

References 29 publications

A Laboratory Study on Non-Invasive Soil Water Content Estimation Using Capacitive Based Sensors

A Laboratory Study on Non-Invasive Soil Water Content Estimation Using Capacitive Based Sensors

Humidity Sensors

Measurement of Dielectric Properties in Soil Contaminated by Biodiesel-Diesel Blends Based on Radio Frequency Heating

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