Systematic sensitivity analysis of air quality simulation models. Final report, January-December 1978
This report reviews and assesses systematic sensitivity and uncertainty analysis methods for applications to air quality simulation models. The discussion of the candidate methods presents their basic variables, mathematical foundations, user motivations and preferences, computer implementation properties, and costs (including both human and computer resources). Both deterministic and sampling methods have been evaluated. Deterministic methods include the time- and user-honored method of arbitrary parameter adjustments by trial and error, variational methods, and a newly formulated Green's function method (for kinetics systems only). Sampling methods include Monte Carlo sampling of the outputs of air quality models to compute variances and a Fourier analysis method of sampling model outputs to compute expectation values of sensitivity coefficients.
- Research Organization:
- Science Applications, Inc., Pleasanton, CA (USA)
- DOE Contract Number:
- EPA-68-02-2942
- OSTI ID:
- 5540183
- Report Number(s):
- PB-80-112162
- Country of Publication:
- United States
- Language:
- English
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