472504 Dynamic Global Sensitivity Analysis on Wastewater Stabilization Pond Networks
DGSA is implemented using a variance based technique proposed by Sobol’ (1993). Other first order and total order sensitivity estimators are also studied (Saltelli et al., 2010). An important characteristic of the method is the possibility to detect interactions between uncertain parameters. The technique is implemented within gPROMS platform, a differential algebraic equation oriented environment where stochastic simulations are performed. Temporal profiles for the first order, total order and interactional sensitivity indices are calculated for 18 differential variables taking into account 20 parameters as uncertain.
Results show a great influence of the temperature coefficient (θ) over all differential variables along the entire horizon of time, not only by its first order sensitivity effects but also through its interactional effect. There is also a notable influence of the mass transfer coefficient between layers (km) in the facultative pond. Global sensitivity analysis results provide a valuable insight into model features.
Ochoa, M.P., Estrada, V., Hoch, P.M., (2016) MINLP Wastewater Stabilisation Ponds Synthesis using Rigorous Models under Different Scenarios, Computer Aided Chemical Engineering.
Saltelli, A., Annoni, P., Azzini, I., Campolongo, F., Ratto, M., Tarantola, S., (2010) Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index, Computer Physics Communication 181, 259-270.
Sobol', I. M. (1993) Sensitivity estimates for nonlinear mathematical models. Mathematical Modelling & Computational Experiment, 1, 407-414.