Thermal conductivity of soils with heavy metals concentration from the Niger Delta region of Nigeria

Akinyemi, Olukayode D.; Olowofela, J. A.; Akinlade, O.; Akande, O.O.

doi:10.1631/jzus.2006.b0615

Cited by 5 publications

(4 citation statements)

References 18 publications

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“…This fact can be explained due to the high inorganic content (ash) of the RH sample. It is well known that the higher the metal content the higher the thermal conductivity of the material [6].…”

Section: B Thermal Characterizationmentioning

confidence: 99%

Evaluation of the potential utilization of conventional and unconventional biomass wastes resources for energy production

Torres¹,

Portugau²,

Castiglioni³

et al. 2019

REPQJ

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This work presents kinetic and thermal data of three different biomass wastes with high availability in Uruguay. Samples were analysed by proximate, ultimate and thermogravimetric analyses, transient plane source, and a cone calorimeter. DTG results at different heating rates allowed us to identify different stages during the thermogravimetric analysis. Kinetic modelling per stages was realized for each stage observed during the heating of the biomass samples. The kinetic was modelled minimizing the square difference between the experimental data and theoretical values obtained with the model. Activation energy values were obtained for each stage, with values in the range 164-217 kJ mol -1 for the decomposition of cellulose and hemicellulose, and between 190-507 kJ mol -1 for the decomposition of lignin.

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Section: B Thermal Characterizationmentioning

confidence: 99%

Evaluation of the potential utilization of conventional and unconventional biomass wastes resources for energy production

Torres¹,

Portugau²,

Castiglioni³

et al. 2019

REPQJ

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“…pH values that are outside ranges favourable to the sustenance of given organisms would induce considerably high environmental stress on such organism's physical systems and their tendencies to reproduce naturally and could lead to a significant reduction in biodiversity within such ecosystems. Thermal conductivity is key to knowing the mass and energy exchange processes in the soil-atmospheric system [5]. For instance, Ibid [5] investigated the relationship between thermal conductivity and some chemical compositions of the soils from the Niger Delta region of Nigeria and they did establish that thermal conductivity did affect some vital soil chemical components.…”

Section: Introductionmentioning

confidence: 99%

“…Thermal conductivity is key to knowing the mass and energy exchange processes in the soil-atmospheric system [5]. For instance, Ibid [5] investigated the relationship between thermal conductivity and some chemical compositions of the soils from the Niger Delta region of Nigeria and they did establish that thermal conductivity did affect some vital soil chemical components. Nitrates play vital roles in enhancing soil fertility and productivity.…”

Section: Introductionmentioning

confidence: 99%

Distribution of Physicochemical Parameters through Soil Profiles around Auto-Mechanic Workshop Clusters in Yenagoa Metropolis, Nigeria

Amukali

Bariweni²

2020

EJBIO

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In this study, results of analyses were carried out on the physicochemical parameters of soils around auto-mechanic workshop clusters and a control site following standard procedures and methodologies within Yenagoa Metropolis for parameters like pH, conductivity, NO3, PO4, SOM, Ca, Mg, Na, K, CEC and THC. Values for the parameters were observed, in most instances to have followed the Distance-Decay Model. In such cases, the parameters showed higher levels at the top soils (0 – 15cm) than in lower soil profiles (15 – 30cm and 30 – 45cm) and generally decreased with increasing distances (50m and 100m) from the reference points (0m) at the auto-mechanic workshop clusters, depending on influencing factors. At the auto-mechanic workshop clusters, pH varied from 6.0 to 6.8 indicating acidification of soils, conductivity varied from 594 to 10,258.20úS/cm, nitrates from 3.3 to 4.6mg/kg, phosphates from 0.4 to 0.6mg/kg, SOM from 4.4 to 6.0% and calcium from 11.4 to 26.7meq/100g. Others were magnesium from 4.8 to 9.2meq/100g, sodium from 6.7 to 17.5meq/100g, potassium from 3.5 to 5.1meq/100g, CEC from 26.5 to 44.9meq/100g and THC from 4.5 to 5.4mg/kg respectively. Thus, it could be safely stated that operational presence of auto-mechanic workshop clusters did impact the physicochemical parameters of soils within closer vicinities as topsoils (0 – 15cm) and reference points (0m) more significantly than soils farther away from their vicinities. This raises health, environmental and food productivity concerns in soils of the study area.

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“…because most often, the areas where heavy metal pollution occurs in developing countries are inhabited by the rural poor, who depend on the soil for their daily existence. In Nigeria for instance, a lot of heavy metal pollution has been reported in the Niger delta region where oil exploration and exploitation are taking place (Amusan and Aeniyi, 2005;Akinyemi et al, 2007). Heavy metal pollution has also been reported on crop areas along highways (Ano et al, 2007) and those close to stone mining and quarrying industries (Ehosiem, 2004).…”

Section: Introductionmentioning

confidence: 99%

Effect of heavy metals (Cd, Ni and Pb) on soil productivity: Organic carbon mineralization

Ano¹

2012

Int. J. Phys. Sci.

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The effect of heavy metals (cadmium (Cd), nickel (Ni) and lead (Pb)) on organic carbon mineralization (OCM) was studied in the laboratory. Top soil (Typic Paleudult) containing 1.0 g organic carbon in the form of milled dry Cajanus cajan leaves was incubated at field capacity with heavy metals (Cd, Ni and Pb) at four levels (0, 100, 200 and 300 mg/kg soil) for 30 days in a 3 × 4 factorial experiment. Each soil contained one level and one type of heavy metal. Carbon dioxide-carbon evolved was measured every five-day period. The quantity of CO 2-C was highest in the first five-day period of incubation than the subsequent periods. All the rates of the heavy metals studied gave significantly (P < 0.05) lower mean periodic CO 2-C than the control. There was significant (P < 0.05) metal × rate interaction. With the exception of Ni, when applied at 100 mg/kg soil, application of heavy metals at all the rates studied, led to lower cumulative CO 2-C as compared to the control. Elovich kinetic model satisfactorily described the rate of organic carbon mineralization in these soils as evidenced from the high correlation coefficient (r) values. The heavy metals in the concentrations applied were found to decrease the organic carbon mineralization rate (OCMR) over the control. The mean OCMR ranged from 194.46 mg CO 2-C per kg soil in the control to 145.28 mg CO 2-C per kg soil, in the soils with heavy metal at 300 mg/kg soil. The order of the ability of the heavy metals to decrease OCMR was found to be Cd>Ni>Pb. Since OCMR is an index of soil productivity, it was therefore concluded that heavy metals decreased soil productivity.

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Thermal conductivity of soils with heavy metals concentration from the Niger Delta region of Nigeria

Cited by 5 publications

References 18 publications

Evaluation of the potential utilization of conventional and unconventional biomass wastes resources for energy production

Evaluation of the potential utilization of conventional and unconventional biomass wastes resources for energy production

Distribution of Physicochemical Parameters through Soil Profiles around Auto-Mechanic Workshop Clusters in Yenagoa Metropolis, Nigeria

Effect of heavy metals (Cd, Ni and Pb) on soil productivity: Organic carbon mineralization

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