Geophysical Characterization of Subsurface Layers, Soil Competency and Corrosivity at Iganran South-west Nigeria

Mosuro, G. O.; Oloruntola, Moroof O.; Bayewu, Olateju O.

doi:10.3997/2214-4609.20143753

Cited by 4 publications

(3 citation statements)

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“…There is a wide range of electrically based soil moisture measurement techniques established in the fields of geophysical surveying [ 5 – 6 ] and agronomy[ 7 – 9 ]. These include resistivity based methods[ 10 – 11 ]; capacitance based methods such as Frequency Domain Reflectometry (FDR)[ 12 ]; Time Domain Reflectometry (TDR)[ 13 ]; as well as Radiation based techniques[ 14 ]. Although low cost implementations of resistive based sensors have been suggested in the past[ 15 – 16 ], commercial implementations of these devices (for example the Landmapper ® , that include interpretation software for vertical electrical properties of the soil) are expensive (typically $500–$1600), lack integrated data-logging capabilities, or are simply unavailable.…”

Section: Introductionmentioning

confidence: 99%

A wireless soil moisture sensor powered by solar energy

Jiang

Lv²,

Deng³

et al. 2017

PLoS ONE

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In a variety of agricultural activities, such as irrigation scheduling and nutrient management, soil water content is regarded as an essential parameter. Either power supply or long-distance cable is hardly available within field scale. For the necessity of monitoring soil water dynamics at field scale, this study presents a wireless soil moisture sensor based on the impedance transform of the frequency domain. The sensor system is powered by solar energy, and the data can be instantly transmitted by wireless communication. The sensor electrodes are embedded into the bottom of a supporting rod so that the sensor can measure soil water contents at different depths. An optimal design with time executing sequence is considered to reduce the energy consumption. The experimental results showed that the sensor is a promising tool for monitoring moisture in large-scale farmland using solar power and wireless communication.

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Section: Introductionmentioning

confidence: 99%

A wireless soil moisture sensor powered by solar energy

Jiang

Lv²,

Deng³

et al. 2017

PLoS ONE

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“…Longitudinal conductance values less than 0.1 Siemens are established indicators that the overburden soil materials have no significant quantity of impermeable clay overlying strata which demonstrates high infiltration rates of surface contaminants or leachate, making the clay a low quality one. A profile of clay soil is strongly differentiated in morphology, texture, and chemical properties; therefore, in electrical resistivity the top clay layer would have a relatively high humus (Organic matter, loam, saline, silt and clay) content and cation exchange capacity, hence, a high density of mobile electrical charges, relatively low resistivity and extremely high corrosivity (Mosuro et al, (2012). The underlying layer mostly consists of bleached sand grains with much lower density of mobile electric charges than the first layer.…”

Section: Resultsmentioning

confidence: 99%

Geophysical Characterisation of Native Clay Deposits in Some Parts of Niger State, Nigeria

Tsepav

Azeh

Kumar

et al. 2022

J. Phys.: Theor. Appl.

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<p class="Abstract">Clay minerals are among the world’s most important and useful industrial minerals. Conductance, transmissivity and corrosity are some physical parameters for determining quality clay. Four (4) clay deposit sites in Kaffin-Koro, Dutse, Dogon-Ruwa and Kushikoko were investigated to evaluate corrosivity, the longitudinal conductance and transmissivity to determine the clay quality. Electrical resistivity method employing Schlumberger electrode array was used to determine the thicknesses and depths of the subsurface strata while Interpex 1xD software was used to interpret the data. Three (3) to four (4) layer earth models were delineated. Kaffin-Koro and Dutse showed three layer models while Dogon-Ruwa and Kushikoko revealed four layers. Moderate clay content was found in Kaffin-Koro in the second layer with longitudinal conductance value of 0.4780 siemens and thickness 0.770m at depth of 1.17m Dogon-Ruwa also had moderate clay content in the third layer with conductance value of 0.237 siemens, depth of 2.43m and thickness 1.76m. Kushikoko had low clay deposit in the second layer with conductance 0.1810 siemens and thickness 2.73 m at 4.37 m while the clay deposit in Dutse appeared to be generally poor as the longitudinal conductance values of the top two layers were less than 0.1 siemens.</p>

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“…Clay is characterized by low resistivity usually less than 100 Ωm are regarded as incompetent material as they tend to flow under stress whereas, sands and crystalline rocks are regarded as competent due to the fact that they can withstand stress because of the presence of sands mixed with clay. The sands in this zone would enhance the engineering capacity unlike the purely clayey horizon (Mosuro et al, 2012).…”

Section: 2: Soil Competencymentioning

confidence: 99%

Geophysical Characterization of Subsurface Layers and Soil Competency of Naraguta Campus, University of Jos-Nigeria

2021

JEES

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Geophysical Characterization of Subsurface Layers, Soil Competency and Corrosivity at Iganran South-west Nigeria

Cited by 4 publications

References 0 publications

A wireless soil moisture sensor powered by solar energy

A wireless soil moisture sensor powered by solar energy

Geophysical Characterisation of Native Clay Deposits in Some Parts of Niger State, Nigeria

Geophysical Characterization of Subsurface Layers and Soil Competency of Naraguta Campus, University of Jos-Nigeria

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