scholarly journals Parameter Estimation and Prediction of a Nonlinear Storage Model: an algebraic approach

2005 ◽  
Author(s):  
T.G. Doeswijk ◽  
K.J. Keesman
Keyword(s):  
Parameter Estimation ◽  
Algebraic Approach ◽  
Storage Model ◽  
Estimation And Prediction

scholarly journals Parameter estimation and prediction for groundwater contamination based on measure theory

2015 ◽  
Vol 51 (9) ◽  
pp. 7608-7629 ◽  
Author(s):  
S. A. Mattis ◽  
T. D. Butler ◽  
C. N. Dawson ◽  
D. Estep ◽  
V. V. Vesselinov
Keyword(s):  
Parameter Estimation ◽  
Groundwater Contamination ◽  
Measure Theory ◽  
Estimation And Prediction

Assessment on activated sludge models for acetate biodegradation under aerobic conditions

2009 ◽  
Vol 60 (4) ◽  
pp. 983-994 ◽  
Author(s):  
M. A. Hoque ◽  
V. Aravinthan ◽  
N. M. Pradhan
Keyword(s):  
Parameter Estimation ◽  
Activated Sludge ◽  
Model Calibration ◽  
Aerobic Biodegradation ◽  
Batch Experiments ◽  
Storage Model ◽  
Biodegradation Process ◽  
Ammonia Degradation ◽  
And Storage ◽  
Activated Sludge Models

A comparison of four different established models along with parameter estimation was carried out in order to explain the aerobic biodegradation of acetate in an activated sludge system. These models were investigated using experimental OUR data from batch experiments of three different concentration studies. Model calibration reveals that ASM1 model is not suitable to explain the observed experimental OUR during the famine phase implying storage compounds could play an important role during that stage. Besides, the model corresponds to the accumulation concept and is not well fitted for all concentrations studies though it includes the storage phenomena. Both the ASM3 model and the model for simultaneous storage and growth on substrate can well describe the acetate biodegradation process, however the OUR data alone is not sufficient to justify the suitability of those models. Simulated profiles using the model outputs demonstrate that storage is overestimated while ammonia degradation is underestimated in ASM3 compared to simultaneous growth and storage model. The current study also gives reasonable outcomes related to parameter estimation as compared with previous study which is statistically interpreted in this paper.

Use of MiniColumns for linear isotherm parameter estimation and prediction of benchtop column performance

2015 ◽  
Vol 1418 ◽  
pp. 94-102 ◽  
Author(s):  
William R. Keller ◽  
Steven T. Evans ◽  
Gisela Ferreira ◽  
David Robbins ◽  
Steven M. Cramer
Keyword(s):  
Parameter Estimation ◽  
Estimation And Prediction ◽  
Linear Isotherm ◽  
Column Performance
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