Obtaining Chemical Properties through Soil Electrical Resistivity

This study investigates how certain forest soil properties influence the propensity of beech forests to windthrow disturbances. The field measurements of soil electrical resistivity were carried out in an old-growth natural beech forest where the soil has developed from Cainozoic sedimentary rock with mudstone–claystone stratigraphy. In 2014, the forest was hit by a severe windstorm, and dispersed windthrow occurred at certain plots. Apparent electrical resistivity measurements were performed to investigate whether some soil properties could influence the forest trees’ predisposition to windthrow. The increases in the clay content and soil bulk density below 30 cm were associated with weathered claystone and mudstone, which created a physiological barrier for deeper root penetration. The result of the χ 2 test suggested that the windthrown spots were not distributed evenly over the entire study area. They were mainly concentrated over approximately 50% of the area, and their positions coincided with low resistivity values, indicating low soil skeleton content, high clay content and soil moisture. Therefore, electrical resistivity tomography could be considered a useful predictive tool for reducing the risk of natural disturbances by preventive forest management.

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Potential of Sentinel-2 Images for Estimating of Soil Resistivity over Agricultural Fields

Proceedings ◽

10.3390/iecg2019-06219 ◽

2019 ◽

Vol 24 (1) ◽

pp. 18

Author(s):

Remy Fieuzal ◽

Vincent Bustillo ◽

David Collado ◽

Gerard Dedieu

Keyword(s):

Electrical Resistivity ◽

Near Infrared ◽

Soil Layers ◽

Digital Elevation ◽

Combined Use ◽

Input Variables ◽

Elevation Model ◽

High Level ◽

Sentinel 2 ◽

Soil Electrical Resistivity

The aim of this study is to assess the possibilities of the VNIR (Visible and Near InfraRed) and SWIR (Short Wavelength InfraRed) satellite data for estimating intra-plot patterns of soil electrical resistivity consistent with ground measurements. The methodology is based on optical reflectances that constitute the input variables of random forest, alone or in combination with parameters derived from a digital elevation model (DEM). Over a field located in southwestern France, the results show high level of accuracy for the 0–50 and 0–100 cm soil layers (with R² of 0.69 and 0.59, and a relative RMSE of 18% and 16%, respectively), the performances being lower for the 0–170 cm layer (R² of 0.39, relative RMSE of 20%). The combined use of optical reflectances with parameters derived from the DEM slightly improves the performances, whatever the considered layer. The influence of each reflectance on soil electrical resistivity estimates is finally analyzed, showing that the wavelengths acquired in the SWIR have a relative higher importance than VNIR reflectance.

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Electrical resistivity and spatial variation in agriculture terraces: statistical correlation between ert and flow direction algorithms

Open Agriculture ◽

10.1515/opag-2017-0037 ◽

2017 ◽

Vol 2 (1) ◽

Author(s):

J. Fernandes ◽

C. Bateira ◽

A. Costa ◽

B. Fonseca ◽

R. Moura

Keyword(s):

Electrical Resistivity ◽

Standard Deviation ◽

Spatial Variation ◽

Soil Depth ◽

Flow Direction ◽

Statistical Correlation ◽

Average Value ◽

Digital Elevation ◽

Elevation Model ◽

Soil Electrical Resistivity

AbstractThe construction of earthen embankment terraces in the Douro Region raises a set of problems related to hydrological processes. The main objective of this study is the evaluation of the spatial variation of electrical resistivity in agriculture terraces at Douro valley (Portugal). To achieve this objective, two variables are analysed, the soil electrical resistivity and the flow direction algorithm. In a field survey we recorded 13 electrical resistivity profiles. The contributing area was calculated with the algorithms D∞ (Deterministic Infinity Flow) and MFD (Multiple Flow Direction) and the results are the base of the internal runoff modelling, both supported by the digital elevation model with a spatial resolution of 1m2. A correlation between the spatial variation of the soil electrical resistivity represented by the standard deviation of the electrical resistivity for each profile and the average value of the contributing area coincident with each profile was established. The electrical resistivity standard deviation seems to be moderately well correlated according to the D∞ algorithm at about 1m of depth, and it has a good correlation at 1,5m to 2m of depth with the MFD algorithm. Taken together, the results show a significant positive statistical correlation between the electrical resistivity standard deviation and the contributing areas (MFD and D∞) depending on the soil depth.

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The Behaviour of Laboratory Soil Electrical Resistivity Value under Basic Soil Properties Influences

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/23/1/012002 ◽

2015 ◽

Vol 23 ◽

pp. 012002 ◽

Cited By ~ 6

Author(s):

Z A M Hazreek ◽

M Aziman ◽

A T S Azhar ◽

W D Chitral ◽

A Fauziah ◽

...

Keyword(s):

Electrical Resistivity ◽

Soil Properties ◽

Soil Electrical Resistivity

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The Influence of Electrical Resistivity Array on its Soil Electrical Resistivity Value

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.510.185 ◽

2014 ◽

Vol 510 ◽

pp. 185-192 ◽

Cited By ~ 5

Author(s):

Mohd Hazreek Zainal Abidin ◽

Rosli Saad ◽

Devapriya Chitral Wijeyesekera ◽

Fauziah Ahmad ◽

Nur Azwin Ismail

Keyword(s):

Electrical Resistivity ◽

Moisture Content ◽

Soil Samples ◽

Lateritic Soil ◽

Resistivity Method ◽

Black Boxes ◽

Different Types ◽

Subsurface Investigation ◽

Electrical Resistivity Method ◽

Soil Electrical Resistivity

Electrical resistivity technique has become a popular alternative tool by the geotechnical engineers in subsurface investigation. This study presents the influence of soil electrical resistivity value (ERV) due to the different types of electrical resistivity array used in practice. The dissimilarity of ERV was become a popular debate by the engineers which posses less fundamental knowledge in this area. In the past, the theory of electrical resistivity technique was less being discovered by the engineer which creates lots of black boxes during the utilization of electrical resistivity method (ERM) in engineering purposes. Hence, the result which produced from the ERM was difficult to deliver in a sound of definitive ways due to lack of knowledge and experienced of most engineers. Hence, this study presents the influence of soil ERV due to the different types of array used with particular reference to as Dipole-dipole and Pole-dipole. A line of electrical resistivity imaging was performed on small embankment of sandy and lateritic soil with different types of array using ABEM SAS (4000) equipment. Three in line of soil samples were tested for moisture content (w) test immediately after the electrical resistivity data acquisition was completely measured. Moreover, particle size distribution test also was performed for all soil samples in order to support the findings. It was found that the ERV was never be the same for each types of array used even on the same particular location of the survey line. However, it was found that there was a consistent relationship between ERV and moisture content for both types of soil tested which can be represent by ERV 1/w. Hence, it was found that ERV produced was relative to the types of array used during the field measurement. Each types of array were applicable to be used in subsurface profiling and its selection was subjected to the target of interest.

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Tendencies in the design of the grounding devices for the electrical installations of the belarusian energy system

E3S Web of Conferences ◽

10.1051/e3sconf/202021601067 ◽

2020 ◽

Vol 216 ◽

pp. 01067

Author(s):

Mikhail Drako ◽

Siarhei Baraishuk

Keyword(s):

Electrical Resistivity ◽

Field Experiments ◽

Energy System ◽

Design System ◽

Composite Mixture ◽

Soil Electrical Resistivity

The paper considers the reasons to improve the design system for the grounding devices. It proposes a special-purpose composite mixture to reduce the soil electrical resistivity values. A number of field experiments were carried out to measure the resistance values of the grounding devices of the experimental circuits, after their near-electrode soil space had been treated with a special mixture to optimize the electrical resistivity of the grounding connection.

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