Abstract
The aim of this study was to characterise the subjective uncertainty in a model describing the anaerobic-aerobic metabolism of phosphorus accumulating organisms in enhanced biological phosphorus removal via global sensitivity analysis. The magnitude and distribution of Sobol sensitivities showed that model prediction variability was due to interactions between input combinations, rather than the direct effect of individual inputs. The prediction of dissolved components, intra-cellular glycogen and poly-phosphate was affected primarily by 64% of the inputs. Uncertainty of intra-cellular PHA was uniformly distributed across all inputs. Avenues to model simplification by linearisation and reduction of the number of inputs were prescribed.
| Original language | English |
|---|---|
| Title of host publication | Poster Presentations Proceedings |
| Subtitle of host publication | 10th IWA Symposium on Modelling and Integrated Assessment |
| Place of Publication | Copenhagen, Denmark |
| Publisher | IWA Publishing |
| Pages | 113-122 |
| Publication status | Published - Sept 2019 |
Keywords
- global sensitivity analysis
- enhanced biological phosphorus removal
- phosphorus accumulating organism
- metabolic model
- wastewater treatment
- monte carlo