Evaluation of contaminant transport parameters for hexavalent chromium migration through saturated soil media

Chakraborty, Ritwik; Ghosh, Ambarish; Ghosh, Sudipta; Mukherjee, Somnath

doi:10.1007/s12665-015-4586-1

Cited by 11 publications

(6 citation statements)

References 18 publications

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“…A negative correlation between Cd and Pb was discovered with soil saturation, while a positive correlation was found with Cr. The Cr with its oxidation states may affect greater downward mobility in the presence of high soil saturation [58]. Generally Cr is highly mobile in soil, however, Cr(VI), due to its anionic nature, can be adsorbed by clays, iron and manganese oxides and hydroxides in acidic soil because of an increase in positively charged sites at mineral surfaces [59].…”

Section: The Exploratory Analysis Of Soil Variablesmentioning

confidence: 99%

Spatial Distribution and Mobility Assessment of Carcinogenic Heavy Metals in Soil Profiles Using Geostatistics and Random Forest, Boruta Algorithm

Shaheen

Iqbal

2018

Sustainability

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Abstract:In third world countries, industries mainly cause environmental contamination due to lack of environmental policies or oversight during their implementation. The Sheikhupura industrial zone, which includes industries such as tanneries, leather, chemical, textiles, and colour and dyes, contributes massive amounts of untreated effluents that are released directly into drains and used for the irrigation of crops and vegetables. This practice causes not only soil contamination with an excessive amount of heavy metals, but is also considered a source of toxicity in the food chain, i.e., bioaccumulation in plants and ultimately in human body organs. The objective of this research study was to assess the spatial distribution of the heavy metals chromium (Cr), cadmium (Cd), and lead (Pb), at three depths of soil using geostatistics and the selection of significant contributing variables to soil contamination using the Random Forest (RF) function of the Boruta Algorithm. A total of 60 sampling locations were selected in the study area to collect soil samples (180 samples) at three depths (0-15 cm, 15-30 cm, and 60-90 cm). The soil samples were analysed for their physico-chemical properties, i.e., soil saturation, electrical conductivity (EC), organic matter (OM), pH, phosphorus (P), potassium (K), and Cr, Cd, and Pb using standard laboratory procedures. The data were analysed with comprehensive statistics and geostatistical techniques. The correlation coefficient matrix between the heavy metals and the physico-chemical properties revealed that electrical conductivity (EC) had a significant (p ≤ 0.05) negative correlation with Cr, Cd, and Pb. The RF function of the Boruta Algorithm employed soil depth as a classifier and ranked the significant soil contamination parameters (Cr, Cd, Pb, EC, and P) in relation to depth. The mobility factor indicated the leachate percentage of heavy metals at different vertical depths of soil. The spatial distribution pattern of Cr, Cd, and Pb revealed spatial variability regarding subsoil horizons. Significant contamination was discovered near the Deg drain and the Bed Nallah irrigated area that indicated a high Cr topsoil contamination, and in a homogenous pattern in Cd and Pb (p < 0.05). Consequently, different soil management strategies can be adopted in an industrial irrigated area to reduce the contamination load of heavy metals in soil.

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Section: The Exploratory Analysis Of Soil Variablesmentioning

confidence: 99%

Spatial Distribution and Mobility Assessment of Carcinogenic Heavy Metals in Soil Profiles Using Geostatistics and Random Forest, Boruta Algorithm

Shaheen

Iqbal

2018

Sustainability

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“…Gupta and Bahu () successfully simulated breakthrough curves of Cr(VI) by combining the Langmuir model with a mathematical transport model. Chakraborty, Ghosh, Ghosh, and Mukherjee () embedded the Langmuir and linear isotherms, respectively, in a one‐dimensional advection–dispersion–reaction equation to estimate Cr(VI) transport parameters. Such isotherms have also been integrated in well‐known numerical codes (e.g., Hydrus‐1D [Šimůnek, Šejna, Saito, Sakai, & van Genuchten, ] and MT3DMS [Zheng & Wang, ]) to simulate reactive solute migration.…”

Section: Introductionmentioning

confidence: 99%

Assessment of alternative adsorption models and global sensitivity analysis to characterize hexavalent chromium loss from soil to surface runoff

Xia

Tong

et al. 2018

Hydrological Processes

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We investigate our ability to assess transfer of hexavalent chromium, Cr(VI), from the soil to surface runoff by considering the effect of coupling diverse adsorption models with a two-layer solute transfer model. Our analyses are grounded on a set of two experiments associated with soils characterized by diverse particle size distributions.Our study is motivated by the observation that Cr(VI) is receiving much attention for the assessment of environmental risks due to its high solubility, mobility, and toxicological significance. Adsorption of Cr(VI) is considered to be at equilibrium in the mixing layer under our experimental conditions. Four adsorption models, that is, the Langmuir, Freundlich, Temkin, and linear models, constitute our set of alternative (competing) mathematical formulations. Experimental results reveal that the soil samples characterized by the finest grain sizes are associated with the highest release of Cr(VI) to runoff. We compare the relative abilities of the four models to interpret experimental results through maximum likelihood model calibration and four model identification criteria (i.e., the Akaike information criteria [AIC and AIC C ] and the Bayesian and Kashyap information criteria). Our study results enable us to rank the tested models on the basis of a set of posterior weights assigned to each of them.A classical variance-based global sensitivity analysis is then performed to assess the relative importance of the uncertain parameters associated with each of the models considered, within subregions of the parameter space. In this context, the modelling strategy resulting from coupling the Langmuir isotherm with a two-layer solute transfer model is then evaluated as the most skilful for the overall interpretation of both sets of experiments. Our results document that (a) the depth of the mixing layer is the most influential factor for all models tested, with the exception of the Freundlich isotherm, and (b) the total sensitivity of the adsorption parameters varies in time, with a trend to increase as time progresses for all of the models. These results suggest that adsorption has a significant effect on the uncertainty associated with the release of Cr(VI) from the soil to the surface runoff component.

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“…Mathematical model of copper ion transport in sediment is derived by applying the conservation law of mass [ 64–66 ] and mass flux [ 67 ] and has the form:

\begin{equation}\theta \frac{{\partial C}}{{\partial t}} = D\frac{{{\partial ^2}C}}{{\partial {x^2}}} + \lambda C + K,\end{equation}

where C = C ( x , t ) is the concentration which depends on the position x and time t , D is the effective diffusion term of copper, λ is the constant with the concentration C , which includes electric and hydraulic properties of the system and K is a constant which represents the flow rate of aquifer and its concentration. Mass conservation Equation (1) is a second‐order differential equation whose solution is assumed in the form:

\begin{equation}C = b - a\exp{\left(pt - sx\right)},\end{equation}

where a , b , p , and s are unknown constants.…”

Section: Resultsmentioning

confidence: 99%

“…The suggested procedure has been already applied for simulation of Ni transport in sediment. [19] Mathematical model of copper ion transport in sediment is derived by applying the conservation law of mass [64][65][66] and mass flux [67] and has the form:…”

Section: Mathematical Model-numerical Simulation Of the Transport Phe...mentioning

confidence: 99%

Copper removal from sediment by electrokinetic treatment with electrodes in a hexagonal configuration

Duduković

Beljin

Dubovina

et al. 2023

CLEAN Soil Air Water

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This study was conducted to examine the effectiveness of removing Cu from sediment by electrokinetic (EK) treatment with electrodes in a hexagonal configuration, and whether water leached can be reused. Three experiments were performed (e1: continuous application of electricity, e2: no electricity at night, e3: application of solar panels) to evaluate the impact of the absence of electricity during night and the variations that may occur during the day when solar panels were used on the efficiency of the treatment. At the end of the treatments, 2-13% more Cu was detected in the cathode region (locations 5 and 10) compared to the initial concentration. Furthermore, based on the calculated mass balance, we concluded that Cu was bound to the electrode surface. In the remaining EK cell locations, the Cu content was reduced by 50-60% for e1, e2, and e3. For field application, treatment e3, in which solar panels are applied, is recommended, since there are no significant differences in the achieved efficiencies. A significant advantage of the treatment from an ecological point of view is reflected in the absence of an acidification effect. In this study, we also applied a model which showed satisfactory agreement with the experimental results. Analyses of leached water after electrokinetic treatments, e1, e2, e3, indicate that this water has a potential for irrigation use of agricultural land, aiming to meet the goals of the circular economy.

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Evaluation of contaminant transport parameters for hexavalent chromium migration through saturated soil media

Cited by 11 publications

References 18 publications

Spatial Distribution and Mobility Assessment of Carcinogenic Heavy Metals in Soil Profiles Using Geostatistics and Random Forest, Boruta Algorithm

Spatial Distribution and Mobility Assessment of Carcinogenic Heavy Metals in Soil Profiles Using Geostatistics and Random Forest, Boruta Algorithm

Assessment of alternative adsorption models and global sensitivity analysis to characterize hexavalent chromium loss from soil to surface runoff

Copper removal from sediment by electrokinetic treatment with electrodes in a hexagonal configuration

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