Abstract
Isotherm expressions are important for describing the partitioning of contaminants in environmental systems. ISOFIT (Isotherm Fitting Tool) is a software program that fits isotherm parameters to experimental data via the minimization of a weighted sum of squared error (WSSE) objective function. ISOFIT supports a number of isotherms, including several dual-mode isotherms that combine Freundlich, Langmuir, and Polanyi expressions with a linear partitioning term. To minimize the WSSE objective function, ISOFIT utilizes a hybrid optimization procedure that combines particle swarm optimization with Levenberg-Marquardt nonlinear regression. An initial swarm optimization step identifies promising solutions while circumventing local minima and the follow-on regression step provides local refinement and facilitates the calculation of numerous regression statistics. To demonstrate ISOFIT and evaluate its performance, the program was applied to a readily available sorption dataset and benchmarked against results generated using the MS Excel solver package.
| Original language | English |
|---|---|
| Pages (from-to) | 670-676 |
| Number of pages | 7 |
| Journal | Environmental Modelling and Software |
| Volume | 23 |
| Issue number | 5 |
| DOIs | |
| State | Published - May 2008 |
Keywords
- Isotherm
- Nonlinear regression
- Parameter estimation
- Particle swarm optimization
- Sorption
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