Abstract
Hydrocarbon contamination of land, water, air, vegetation
and human is a widespread global environmental concern. The aim of this study
was to evaluate the performance of goat manure for the bioremediation of used
engine oil polluted soil. 10kg soil sample was collected from a site free of
used engine oil contamination (from an agricultural land in The Department of
Petroleum Engineering, Faculty of Engineering, University of Benin, Ugbowo
Campus, Benin City, Edo State in Nigeria) using a 22-cm hand-dug soil auger and
stored in labeled black polythene bag. The sample was air dried, grinded and
sieved through 2mm mesh before use. Before contamination, the soil sample was
subjected to chemical digestion using 1:1 ratio of 0.25M hydrochloric acid and
Nitric acid. Thereafter it was characterized to determine the physio-chemical
properties. The physio-chemical properties determined include Total
Heterotrophic bacterial, Moisture content Soil, pH, Electrical conductivity,
Total hydrocarbon content (THC), Total organic carbon, Total nitrogen content
in addition to the soil composition including percent sand, Total Phosphorus,
Lead (Pb) and Iron (Fe). The used engine oil was added gradually into the bowl
containing the unpolluted sieved soil sample and was properly mixed.
The used engine oil was to serve as the pollutant. The soil
samples were left for 4days for stabilization before the commencement of
treatment process. The experiment was monitored for a period of eight (8) weeks
under which appreciable level of remediation had been obtained. Result obtained
shows that there was a gradual increase in pH, Electrical conductivity (EC) and
Total Heterotrophic bacterial (THB), and also a gradual decrease in total
nitrogen content (TNC), total organic carbon (TOC), total phosphorus (TP), lead
(Pb), Iron (Fe) and total hydrocarbon content (THC). The result explicitly
showed that goat manure is a good substrate for bioremediation of used engine
oil polluted site with calculated engine oil removal efficiency of 62.67%. The
kinetic modelling shows that the experimental data fitted well with
pseudo-second order kinetic model. On predicting the rate of hydrocarbon loss
with time the non-linear regression model gave higher coefficient of
determination of 0.9874 compared to the linear regression model that gave
0.9665.
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