naa a22 4500 510756174 CHVBK 20180411083123.0 cr unu---uuuuu 180411e20131201xx s 000 0 eng 10.1007/s12594-013-0209-1 doi (NATIONALLICENCE)springer-10.1007/s12594-013-0209-1 UTCHEM model application for prediction of crude oil removal from contaminated sand columns [Elektronische Daten] [G. Asadollahfard, A. Khodadi, N. Javadifar] Soil pollution by crude oil is a challenging environmental issue for oil producing countries. Several methods have been developed for remediation of the contaminated soil including washing with different detergents. In this work, we applied UTCHEM simulator model to the sand columns polluted by 10000 and 30000 ppm of crude oil which was treated with 0.05, 0.1 and 0.2 wt% of a biological detergent, saponin. The results showed a good agreement between simulated and pilot study. The maximum remediation was 61% with a pH of 9 when we utilized 0.2 wt% saponin for the column contaminated with 30000 ppm of crude oil. 47% remediation was achieved with a pH of 9 when 0.1wt% of detergent was applied to the same column. Sensitivity analysis indicated an increase in remediation by increasing the pH with the optimum pH of 11. The best possible concentrations of surfactant solutions were 0.1 and 0.2 wt% for 10000 and 30000 ppm pollution, respectively, resulting in crude oil removal efficiencies of 69% and 72%, respectively. Simulation results also indicated that an increase in the permeability of the sand columns would also result in an increased remediation. Geological Society of India, 2013 Saponin nationallicence UTCHEM simulator model nationallicence Crude oil nationallicence Permeability nationallicence Asadollahfard G. Civil Engineering Department, Kharazmi University, Kharazmi, Iran aut Khodadi A. Tarbiat Modaress University, Tehran, Iran aut Javadifar N. Science and Research Centre, Azad University, Azad, Iran aut Journal of the Geological Society of India Springer India 82/6(2013-12-01), 712-718 0016-7622 82:6<712 2013 82 12594 https://doi.org/10.1007/s12594-013-0209-1 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s12594-013-0209-1 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Asadollahfard G. Civil Engineering Department, Kharazmi University, Kharazmi, Iran aut NATIONALLICENCE 700 1- Khodadi A. Tarbiat Modaress University, Tehran, Iran aut NATIONALLICENCE 700 1- Javadifar N. Science and Research Centre, Azad University, Azad, Iran aut NATIONALLICENCE 773 0- Journal of the Geological Society of India Springer India 82/6(2013-12-01), 712-718 0016-7622 82:6<712 2013 82 12594 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer