Abstract
This study summarises the sensitivity analysis results using a novel mathematical model. The mathematical model already published represents the modification of the activated sludge model no. 1 (ASM1) in view of including the nitrous oxide (N2O) emission (namely ASM1 + N2O model). The ASM1 + N2O model was applied to a full-scale wastewater treatment plant in Corleone (Italy). Sensitivity analysis was performed by applying a local approach. In view of comparing results obtained for the model outputs taken into account (mixed liquor suspended solids - MLSS, effluent total COD, and effluent NH4-N - SNH concentrations) a normalised sensitivity index (SI) was assessed. Calculated normalised SI for model outputs highlight specific influential parameters, notably YH, fp, µH, bH, and those related to ammonia-oxidizing bacteria (AOBs). For the MLSS model output, only two model parameters were found influential, but 8 significant model parameters (4 for each) were identified for effluent total COD and SNH concentrations. This study provides insights for a more efficient calibration process, laying the groundwork for future research on the ASM1 + N2O model.
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Acknowledgements
This work was funded by the project “Achieving wider uptake of water-smart solutions—WIDER UPTAKE” (grant agreement number: 869283) financed by the European Union’s Horizon 2020 Research and Innovation Programme, in which the last author of this paper, Giorgio Mannina, is the principal investigator for the University of Palermo. The UNIPA project website can be found at: https://wideruptake.unipa.it/.
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Gulhan, H., Cosenza, A., Mannina, G. (2024). Mathematical Modelling of Corleone (Italy) Full-Scale Wastewater Treatment Plant for Estimating the Greenhouse Gas Emissions: A Sensitivity Analysis. In: Mannina, G., Cosenza, A., Mineo, A. (eds) Resource Recovery from Wastewater Treatment. ICWRR 2024. Lecture Notes in Civil Engineering, vol 524. Springer, Cham. https://doi.org/10.1007/978-3-031-63353-9_64
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