Fractionation of chromium in tannery sludge-amended soil and its availability to fenugreek plants

Allué, Josep; Garcés, Alba Moya; Bech, Jaume; Barceló, Juan Antonio; Poschenrieder, Charlotte

doi:10.1007/s11368-013-0776-1

Cited by 25 publications

(6 citation statements)

References 41 publications

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“…Furthermore, the percentage of water-soluble Cd concentration in the subsoil was higher than that obtained for the effluent irrigated topsoil. The concentration of Cr indicated more water-soluble, exchangeable, and carbonated bound forms in the topsoil profile [67]. The heavy metals' speciation and their mobility associated with toxicity at soil depths were critical to understand and evaluate the bioavailability of environmental risks.…”

Section: Estimation Of Metal Mobility and Variability At Vertical Soimentioning

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: Estimation Of Metal Mobility and Variability At Vertical Soimentioning

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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“…Different findings were observed in the study of Allué et al (2014), where sludge-derived Cr was mainly distributed in the moderately reducible fraction (which is the extended fraction of the five-step BCR extraction, including treatment with acid oxalate), and lesser than in the residual fraction.…”

Section: Resultsmentioning

confidence: 62%

Comparison of chromium mobility at naturally enriched and anthropogenically polluted sites: A column leaching experiment

Dajčl¹,

Tejnecký²,

Němeček³

et al. 2022

Soil & Water Res.

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This study aims to compare the chromium (Cr) mobility in two soils with different Cr sources. The first one is an anthropogenically contaminated soil from an area of a piston ring production factory, and the second one is a serpentine soil with a naturally increased Cr level from the National Nature Reserve Mohelno serpentine steppe in the Czech Republic. To assess the influence of naturally occurring environmental factors on the Cr mobility, two sets of column leaching experiments were constructed, namely an acidified water treatment (AW) and a simulated root exudate treatment (SRE). It was found that the anthropogenically contaminated soil leached out many times more Cr for both (the AW and SRE) treatments in comparison with the serpentine soil. Generally, all the samples showed enhanced leaching from the bottom layer, respectively the horizon, for both treatments. Only the anthropogenic soil showed some differences in the bottom layer, which was more susceptible to the AW treatment than to the SRE one. These findings show the high dependence of the leachability of Cr on the Cr content origin. It has been proven that naturally enriched sites where elevated levels of Cr originate from the bedrock are more resistant to Cr leaching than anthropogenically contaminated soils. Feasible causes of these differences are discussed in this study.

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“…This sludge contains heavy metals (especially chromium), organic compound, as well as pathogenic micro-organisms [38]. The toxic heavy metals in tannery sludge render a challenge to apply the sludge as a fertilizer [39], land ller [40] or soil amendment material [41]. However, application of these disposal methods causes the plants to take up the heavy metals, disturb agricultural output, poses potential ecological threats, and promotes secondary pollution [42,43].…”

Section: Sem Analysismentioning

confidence: 99%

Tannery liming sludge in compost production: sustainable waste management

Hashem

Sahen

Hasan

et al. 2021

Biomass Conv. Bioref.

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In tannery at beamhouse, hair burning liming wastewater is the most toxic substance, which has adverse impact on the environment. Treatment of hair burning liming wastewater begets substantial amount of solid waste termed as 'sludge'. In this investigation, in-situ prepared liming sludge from hair burning liming wastewater is used for compost processing. The liming sludge is mixed with sawdust, cow dung, and chicken manure; piled onto a horizontal bamboo aerator. Three compost piles were built up weighing 650, 690, and 630 Kg. Drastic changes were observed in temperature due to the revolving of the piles. The highest temperature generated in the piles were in the thermophilic range at 59.69°C, 64.41°C, and 63.36°C respectively, ensures the destruction of pathogenic microorganism. The heavy metals Zn, Cu, Cr, Ni, Cd, and Pb of the compost were analyzed and the highest amounts found among the piles were 152.64, 21.20, 21.02, 6.93, 5.78, and 3.30 mg/kg, correspondingly. Moreover, the nutrient nitrogen, phosphorous, potassium, sulfur of the compost ful lls the requirement of the investigated material as compost. SEM analysis indicates the degradation of the composting materials. This study reveals that without any pretreatment, the generated tannery liming sludge can be transformed into a value-added product with the use of a zero-waste approach. HighlightsToxic tannery liming wastewater management through composting Nutrient and metal content level of the compost found within standard limits Germination test indicates the compost suitability for soil conditioner Reduction of treatment load on e uent treatment plant (ETP)

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Fractionation of chromium in tannery sludge-amended soil and its availability to fenugreek plants

Cited by 25 publications

References 41 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

Comparison of chromium mobility at naturally enriched and anthropogenically polluted sites: A column leaching experiment

Tannery liming sludge in compost production: sustainable waste management

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