Convergence Properties of the Nelder--Mead Simplex Method in Low Dimensions
SIAM Journal on Optimization
PEAS: A toolbox to assess the accuracy of estimated parameters in environmental models
Environmental Modelling & Software
DESASS: A software tool for designing, simulating and optimising WWTPs
Environmental Modelling & Software
Multiple objective optimal control of integrated urban wastewater systems
Environmental Modelling & Software
Model-based optimisation of Wastewater Treatment Plants design
Environmental Modelling & Software
Water quality modelling for small river basins
Environmental Modelling & Software
Algebraic sensitivity analysis of environmental models
Environmental Modelling & Software
Identifiability analysis for receiving water body quality modelling
Environmental Modelling & Software
Preface: Modelling and automation of water and wastewater treatment processes
Environmental Modelling & Software
Improving the performance of a WWTP control system by model-based setpoint optimisation
Environmental Modelling & Software
Modelling microbial population dynamics in nitritation processes
Environmental Modelling & Software
Application of evolutionary optimisers in data-based calibration of Activated Sludge Models
Expert Systems with Applications: An International Journal
Hi-index | 0.00 |
This work proposes a procedure for calibration and validation of complex models by systematically obtaining identifiable parameter subsets according to the available data. The procedure uses the new RDE criteria calculated from the Fisher Information Matrix (FIM) as the ratio of normalized D to modified E criteria (RDE). It does not require expert knowledge and it defines automatically the dimension of the identifiable subset without requiring a threshold for the RDE. It was applied successfully to the study of the IWA-ASM2d model, which was implemented, calibrated and validated for an anaerobic/anoxic/oxic (A^2/O) pilot WWTP operated under three different influent ammonium concentrations (15, 20 and 30mg/L) and two internal recycling ratios (IRR=2 and 5). Starting from 51 among all the ASM2d parameters, a sensitivity analysis around the ASM2d default values was performed. From the sensitivity ranking, the 20 best-ranked parameters were named ''seeds'', since each one served for growing a parameter subset for model calibration. The subset generation process added to the seed a parameter that presented the highest RDE among all the remaining parameters of the sensitivity ranking. The process of parameter addition was repeated until the RDE decreased from the current iteration to the previous one. The best subset determined by the methodology {b"P"A"O, Y"P"O"4, @m"A} presented the highest possible value of the RDE. Finally, the simulation of the WWTP with this subset fitted adequately the experimental data while the parameters obtained had low confidence intervals.