Prediction of Soil Properties with Field Geo‐electrical Probes

Ristolainen, Antti; Farkas, Csilla; Tóth, Tibor

doi:10.1080/00103620802649294

Cited by 6 publications

(3 citation statements)

References 8 publications

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“…Apparent electrical conductivity measures the ability of solid and solution phases in soil to transmit an electrical current. The charged colloids such as clay and humic substances highly contribute to the ECa from soil solid phase, while dissolved ions contribute to ECa from soil solution phase (Ristolainen et al, 2009). The sensor provided negative values as proximally sensed ECaHCP for some locations.…”

Section: Variability Of Proximal Sensor Measured Ecahcp and Ecaprpmentioning

confidence: 99%

Exploring the short-scale spatial variability of calcic red latosol soil using DUALEM-1S proximal soil sensor

Rathnayaka¹,

Vitharana

2016

Trop. Agric. Res.

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Short-scale spatial variability of soil properties need to be identified for the proper management of soil resources for crop production. Proximally sensing of soil apparent electrical conductivity (ECa) and the application of inversion technique are highly potential approaches to predict the spatial variability of soil properties. This study was carried out to investigate the applicability of ECa data together with inversion technique to predict the spatial variability of soil variability in Calcic Red Latosols. DUALEM-1S sensor was used to perform the ECa survey in an agricultural land (3.2 ha) situated in Allaveddy in the Jaffna district. The acquired ECa data were used to predict ECa at 20 cm depth increments down to 80 cm soil depth. Exploratory data analyses and then local kriging procedure were applied separately for original and inverted ECa data to construct continuous maps. Soil samples were taken from six sample points (at 20 cm depth intervals upto 80 cm from each sample point) using the purposive sampling scheme. Soil samples were analyzed for soil texture, organic matter, electrical conductivity (EC) and pH. Proximally sensed ECaPRP (CV = 45.4%) and ECaHCP (CV = 73.5%) and the depth profiles of different soil properties showed a high vertical and horizontal spatial variability of soil in the site. High correlations were shown between EC (measured at different depths) and both ECaPRP (r >0.60) and ECaHCP (r >0.60) at different depths. However, ECa did not show strong correlations with other soil properties. The high correlations (r > 0.76) between depth specific inverted ECaPRP and ECaHCP measurements and measured EC of respective depths indicated that these ECa data layers can be used to map the soil salinity development in different soil layers. This study revealed a strong short-scale spatial variability of soil properties in the selected Calcic Red Latosol and proximal soil sensing using the DUALEM-1S sensor is a highly potential tool for producing three dimensional maps of the soil EC.

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Section: Variability Of Proximal Sensor Measured Ecahcp and Ecaprpmentioning

confidence: 99%

Exploring the short-scale spatial variability of calcic red latosol soil using DUALEM-1S proximal soil sensor

Rathnayaka¹,

Vitharana

2016

Trop. Agric. Res.

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“…Nem célunk az agyagtartalom sokrétű jelentőségére kitérni, de utalunk az agyagtartalom meghatározásának folyamatosan megújuló, szerteágazó eszköztárára és módszertanára. A terepi gyors agyagtartalom becslésére elterjedten használják az elektromos és elektromágneses felszíni geofizikai eszközöket (RISTOLAINEN et al, 2009), melyek(kel) a talaj elektromos vezetőképességét jellemzik. A vizsgálat azon alapul, hogy a kicserélődési komplexumban megkötött kationok elektromos vezetése révén a talaj agyagtartalma jelentősen hozzájárul a talaj összes elektromos vezetőképességéhez.…”

Section: Talajok Agyagtartalmának Becslése Gamma-spektroszkópiai Méréunclassified

Talajok agyagtartalmának becslése gamma-spektroszkópiai mérésekkel

Matula¹,

Tóth

2019

Agrokem

Self Cite

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“…Furthermore, geotechnical properties quantification was an important factor for geophysical method used in engineering application [9]. However recently, researchers have begun to collaborate and relate the geophysical parameter to geotechnical properties [9,10,11,1,12,13,14,4,15]. Geophysical method has a good prospect in order to solve some of the problems related to the conventional site investigation methods [6].…”

Section: Introductionmentioning

confidence: 99%

Soil Resistivity Measurements to Predict Moisture Content and Density in Loose and Dense Soil

Abidin

Ahmad

Wijeyesekera

et al. 2013

AMM

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In the past, most of the soil electrical resistivity charts were developed based on stand-alone geomaterial classification with minimal contribution to its relationship to some of geotechnical parameters. Furthermore, the values cited a very wide range of resistivity with sometimes overlapping values and having little significance to specific soil condition. As a result, it created some ambiguities during the interpretation of observations which were traditionally based on qualitative anomaly judgments of experts and experienced people. Hence, this study presents soil resistivity values based on laboratory experiment with a view to predict the soil moisture content and density in loose and dense soils. This study used a soil box and a resistivity meter to test a clayey silt soil, increasing its water usage from 1-3% based on 1500 gram of dry soil. All the moisture contents and density data were observed concurrently with 25 electrical soil resistance observations being made on the soil. All testing and formula used were in accordance with that specified in BS1377 (1990). It was apparent that the soil resistivity value was different under loose (L) and compact (C) condition with moisture content (w) and density (ρbulk) correlations being established as follows; ρbulk(C) = 2.5991ρ-0.037, ρbulk (L) = -0.111 ln (ρ) + 1.7605, w(L) = 109.98ρ-0.268, and w(C) = 121.88ρ-0.363 with determination coefficients, R2 that ranged between 0.69 0.89. This research therefore contributes a means of predicting these geotechnical parameters by related persons such as geophysicist, engineers and geologist who use these resistivity techniques in ground exploration.

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Prediction of Soil Properties with Field Geo‐electrical Probes

Cited by 6 publications

References 8 publications

Exploring the short-scale spatial variability of calcic red latosol soil using DUALEM-1S proximal soil sensor

Exploring the short-scale spatial variability of calcic red latosol soil using DUALEM-1S proximal soil sensor

Talajok agyagtartalmának becslése gamma-spektroszkópiai mérésekkel

Soil Resistivity Measurements to Predict Moisture Content and Density in Loose and Dense Soil

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