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

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 Resource Recovery from Wastewater Treatment ICWRR 2024 (pp. 375-381) [10.1007/978-3-031-63353-9_64].

Mathematical Modelling of Corleone (Italy) Full-Scale Wastewater Treatment Plant for Estimating the Greenhouse Gas Emissions: A Sensitivity Analysis

Gulhan, Hazal;Cosenza, Alida
;
Mannina, Giorgio
2024-06-18

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
18-giu-2024
Settore ICAR/03 - Ingegneria Sanitaria-Ambientale
978-3-031-63352-2
978-3-031-63355-3
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 Resource Recovery from Wastewater Treatment ICWRR 2024 (pp. 375-381) [10.1007/978-3-031-63353-9_64].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/647173
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