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Modeling of methane oxidation in landfill cover soil using an artificial neural network.
| Content Provider | Scilit |
|---|---|
| Author | Abushammala, Mohammed F. M. Basri, Noor Ezlin Ahmad Elfithri, Rahmah Younes, Mohammad K. Irwan, Dani |
| Copyright Year | 2013 |
| Description | Journal: Journal of the Air & Waste Management Association Knowing the fraction of methane $(CH_{4}$) oxidized in landfill cover soils is an important step in estimating the total $CH_{4}$ emissions from any landfill. Predicting $CH_{4}$ oxidation in landfill cover soils is a difficult task because it is controlled by a number of biological and environmental factors. This study proposes an artificial neural network (ANN) approach using feedforward backpropagation to predict $CH_{4}$ oxidation in landfill cover soil in relation to air temperature, soil moisture content, oxygen $(O_{2}$) concentration at a depth of 10 cm in cover soil, and $CH_{4}$ concentration at the bottom of cover soil. The optimum ANN model giving the lowest mean square error (MSE) was configured from three layers, with 12 and 9 neurons at the first and the second hidden layers, respectively, log-sigmoid (logsig) transfer function at the hidden and output layers, and the Levenberg-Marquardt training algorithm. This study revealed that the ANN oxidation model can predict $CH_{4}$ oxidation with a MSE of 0.0082, a coefficient of determination (R$ ^{2}$) between the measured and predicted outputs of up to 0.937, and a model efficiency (E) of 0.8978. To conclude, further developments of the proposed ANN model are required to generalize and apply the model to other landfills with different cover soil properties. |
| Related Links | http://www.tandfonline.com/doi/pdf/10.1080/10962247.2013.842510?needAccess=true |
| Ending Page | 159 |
| Page Count | 10 |
| Starting Page | 150 |
| ISSN | 10962247 |
| e-ISSN | 21622906 |
| DOI | 10.1080/10962247.2013.842510 |
| Journal | Journal of the Air & Waste Management Association |
| Issue Number | 2 |
| Volume Number | 64 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2013-09-23 |
| Access Restriction | Open |
| Subject Keyword | Journal: Journal of the Air & Waste Management Association Water Science and Technology Artificial Neural Network Landfill Cover |
| Content Type | Text |
| Subject | Atmospheric Science Pollution Waste Management and Disposal Management, Monitoring, Policy and Law |
