Modelling of Bioremediation of Oil-Contaminated Soil Using Chicken Droppings as Biostimulant
The suitability of poultry droppings as a biostimulant for the remediation of crude oilcontaminated soil has been investigated. Four equal-sized containers, each containing 400g of soil were each contaminated 20 ml of crude oil after which they were thoroughly mixed. To first three containers, A,B...
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| Format: | Article |
| Language: | English |
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Joint Coordination Centre of the World Bank assisted National Agricultural Research Programme (NARP)
2022-02-01
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| Series: | Journal of Applied Sciences and Environmental Management |
| Online Access: | https://www.ajol.info/index.php/jasem/article/view/221231 |
| _version_ | 1797228182288465920 |
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| author | S.E. Uwadiae C.D. Obasi |
| author_facet | S.E. Uwadiae C.D. Obasi |
| author_sort | S.E. Uwadiae |
| collection | DOAJ |
| description |
The suitability of poultry droppings as a biostimulant for the remediation of crude oilcontaminated soil has been investigated. Four equal-sized containers, each containing 400g of soil were each contaminated 20 ml of crude oil after which they were thoroughly mixed. To first three containers, A,B and C were respectively added 20 g, 60 and 100 g of poultry droppings which were previously dried and pulverised. To the fourth container which served as control, was added no poultry droppings. The degradation of oil in the samples were monitored for 7 weeks by observing the residual hydrocarbon content (RHC) and pH of samples. The RHC of the samples over the seven-week period were then modelled using artificial neural network (ANN) in the MATLAB Neural Network Toolbox. The RHC values decreased for all samples, with the highest reduction of 100 mg/kg obtained in sample C and the least reduction of 1000 mg/kg in sample D. The PH values were observed to increase slightly from the acidic region of 5.5 to a range of 7.8 to 8.3. The best and most suitable training algorithm of RHC of the samples was TRAINSCG since it had the least mean square error (MSE) value of 0.00183 as well as the highest R-squared value of 0.99808.
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| first_indexed | 2024-04-24T14:52:38Z |
| format | Article |
| id | doaj.art-9b24c515d2454172ac3fd58926e66674 |
| institution | Directory Open Access Journal |
| issn | 2659-1502 2659-1499 |
| language | English |
| last_indexed | 2024-04-24T14:52:38Z |
| publishDate | 2022-02-01 |
| publisher | Joint Coordination Centre of the World Bank assisted National Agricultural Research Programme (NARP) |
| record_format | Article |
| series | Journal of Applied Sciences and Environmental Management |
| spelling | doaj.art-9b24c515d2454172ac3fd58926e666742024-04-02T19:47:24ZengJoint Coordination Centre of the World Bank assisted National Agricultural Research Programme (NARP)Journal of Applied Sciences and Environmental Management2659-15022659-14992022-02-01251110.4314/jasem.v25i11.7Modelling of Bioremediation of Oil-Contaminated Soil Using Chicken Droppings as Biostimulant S.E. UwadiaeC.D. Obasi The suitability of poultry droppings as a biostimulant for the remediation of crude oilcontaminated soil has been investigated. Four equal-sized containers, each containing 400g of soil were each contaminated 20 ml of crude oil after which they were thoroughly mixed. To first three containers, A,B and C were respectively added 20 g, 60 and 100 g of poultry droppings which were previously dried and pulverised. To the fourth container which served as control, was added no poultry droppings. The degradation of oil in the samples were monitored for 7 weeks by observing the residual hydrocarbon content (RHC) and pH of samples. The RHC of the samples over the seven-week period were then modelled using artificial neural network (ANN) in the MATLAB Neural Network Toolbox. The RHC values decreased for all samples, with the highest reduction of 100 mg/kg obtained in sample C and the least reduction of 1000 mg/kg in sample D. The PH values were observed to increase slightly from the acidic region of 5.5 to a range of 7.8 to 8.3. The best and most suitable training algorithm of RHC of the samples was TRAINSCG since it had the least mean square error (MSE) value of 0.00183 as well as the highest R-squared value of 0.99808. https://www.ajol.info/index.php/jasem/article/view/221231 |
| spellingShingle | S.E. Uwadiae C.D. Obasi Modelling of Bioremediation of Oil-Contaminated Soil Using Chicken Droppings as Biostimulant Journal of Applied Sciences and Environmental Management |
| title | Modelling of Bioremediation of Oil-Contaminated Soil Using Chicken Droppings as Biostimulant |
| title_full | Modelling of Bioremediation of Oil-Contaminated Soil Using Chicken Droppings as Biostimulant |
| title_fullStr | Modelling of Bioremediation of Oil-Contaminated Soil Using Chicken Droppings as Biostimulant |
| title_full_unstemmed | Modelling of Bioremediation of Oil-Contaminated Soil Using Chicken Droppings as Biostimulant |
| title_short | Modelling of Bioremediation of Oil-Contaminated Soil Using Chicken Droppings as Biostimulant |
| title_sort | modelling of bioremediation of oil contaminated soil using chicken droppings as biostimulant |
| url | https://www.ajol.info/index.php/jasem/article/view/221231 |
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