| Literature DB >> 24235885 |
Salihu Lukman1, Mohammed Hussain Essa, Nuhu Dalhat Mu'azu, Alaadin Bukhari.
Abstract
In situ remediation technologies for contaminated soils are faced with significant technical challenges when the contaminated soil has low permeability. Popular traditional technologies are rendered ineffective due to the difficulty encountered in accessing the contaminants as well as when employed in settings where the soil contains mixed contaminants such as petroleum hydrocarbons, heavy metals, and polar organics. In this study, an integrated in situ remediation technique that couples electrokinetics with adsorption, using locally produced granular activated carbon from date palm pits in the treatment zones that are installed directly to bracket the contaminated soils at bench-scale, is investigated. Natural saline-sodic soil, spiked with contaminant mixture (kerosene, phenol, Cr, Cd, Cu, Zn, Pb, and Hg), was used in this study to investigate the efficiency of contaminant removal. For the 21-day period of continuous electrokinetics-adsorption experimental run, efficiency for the removal of Zn, Pb, Cu, Cd, Cr, Hg, phenol, and kerosene was found to reach 26.8, 55.8, 41.0, 34.4, 75.9, 92.49, 100.0, and 49.8%, respectively. The results obtained suggest that integrating adsorption into electrokinetic technology is a promising solution for removal of contaminant mixture from saline-sodic soils.Entities:
Mesh:
Substances:
Year: 2013 PMID: 24235885 PMCID: PMC3819925 DOI: 10.1155/2013/346910
Source DB: PubMed Journal: ScientificWorldJournal ISSN: 1537-744X
Physicochemical properties of saline-sodic soil [24].
| Property | Value |
|---|---|
| pH (ASTM D 4972) | 9.00 |
| Moisture content, % (ASTM D 2216) | 3.91 |
| Soil organic matter, % (ASTM D 2974) | 3.26 |
| Hydraulic conductivity, cm/s (ASTM D 5084) | 6.91 × 10−09 |
| Electrical conductivity, dS/m (ASTM D 1125) | 8.62 |
| Average pore width (by BET*), Å | 75.64 |
| BET specific surface area, m2/g (UOP964) | 42.13 |
| Pore volume, cm3/g (UOP964) | 0.08 |
| Specific gravity (ASTM D 854) | 2.77 |
| Liquid limit (ASTM D 4318) | 44.71 |
| Plastic limit (ASTM D 4318) | 25.95 |
| Plasticity index | 18.76 |
| USCS classification (ASTM D 2487) | CL (Clay) |
|
| |
| Particle size distribution (ASTM D 422) | |
| Clay, % | 78 |
| Silt, % | 6 |
| Very fine sand, % | 10 |
| Fine sand, % | 5 |
| Medium sand, % | 1 |
*BET: Brunauer-Emmett-Teller.
Figure 1Coupled electrokinetics-adsorption experimental setup.
Figure 2Percentage of heavy metals adsorbed plus any precipitated species at different pH for single component adsorption scenario [24].
Figure 3Percentage of heavy metals adsorbed plus any precipitated species at different pH for multicomponent adsorption scenario [24].
Figure 4Percentage of heavy metals desorbed plus any precipitated species at different pH for multicomponent desorption scenario [24].
Figure 5pH variation.
Figure 6Variation of electrical conductivity.
Figure 7Comparison of the contaminant removal efficiencies for all the tests.
Modeling of Hg speciation using Visual MINTEQ 3.0 for EK-GAC-1.
| Initial Hg species | Concentration, mol/L | Final Hg species | Concentration, mol/L | % Removed |
|---|---|---|---|---|
| Hg(OH)2 (aq) | 4.30 | Hg(OH)2 (aq) | 3.98 | 92.49 |
| Hg+2 | 9.04 | Hg+2 | 1.73 | 1.91 |
| Hg2OH+3 | 4.23 | Hg2OH+3 | 4.03 | 9.53 |
| Hg3(OH)3 +3 | 1.79 | Hg3(OH)3 +3 | 3.77 | 2.11 |
| HgOH+ | 2.82 | HgOH+ | 1.11 | 3.93 |
Figure 8Variation of theoretical solubilities of some heavy metal hydroxides with pH [45].