Global sensitivity analysis and dynamic parameter estimation in eutrophication models

VANINA G. ESTRADA; MARIA SOLEDAD DIAZ

ENVIRONMENTAL MODELLING & SOFTWARE

ELSEVIER SCI LTD

Lugar: Amsterdam; Año: 2010 vol. 25 p. 1539 - 1551

1364-8152

In this work, we formulate a dynamic first principle-based eutrophication model for a reservoir and perform global sensitivity analysis to determine most influential parameters. Both first-order and total sensitivity indices profiles have been calculated throughout a time horizon of one year on main differential state variables, which include cyanobacteria, diatoms and chlorophyta concentration, as well as main nutrient concentration. Numerical results have shown a marked seasonality in sensitivity indices and have allowed ranking of parameters, which in turn have been estimated with observed data from the study case, Paso de las Piedras reservoir (Bahía Blanca, Argentina).first principle-based eutrophication model for a reservoir and perform global sensitivity analysis to determine most influential parameters. Both first-order and total sensitivity indices profiles have been calculated throughout a time horizon of one year on main differential state variables, which include cyanobacteria, diatoms and chlorophyta concentration, as well as main nutrient concentration. Numerical results have shown a marked seasonality in sensitivity indices and have allowed ranking of parameters, which in turn have been estimated with observed data from the study case, Paso de las Piedras reservoir (Bahía Blanca, Argentina).fluential parameters. Both first-order and total sensitivity indices profiles have been calculated throughout a time horizon of one year on main differential state variables, which include cyanobacteria, diatoms and chlorophyta concentration, as well as main nutrient concentration. Numerical results have shown a marked seasonality in sensitivity indices and have allowed ranking of parameters, which in turn have been estimated with observed data from the study case, Paso de las Piedras reservoir (Bahía Blanca, Argentina).files have been calculated throughout a time horizon of one year on main differential state variables, which include cyanobacteria, diatoms and chlorophyta concentration, as well as main nutrient concentration. Numerical results have shown a marked seasonality in sensitivity indices and have allowed ranking of parameters, which in turn have been estimated with observed data from the study case, Paso de las Piedras reservoir (Bahía Blanca, Argentina).