Stormwater quality models: do they work?
نویسندگان
چکیده
Stormwater models underpin decision-making processes in stormwater management. Runoff generation and flow routing models are now well developed and widely adopted. However, stormwater quality models are less well developed. Model calibration and sensitivity analysis are crucial in order to estimate realistic stormwater pollution concentrations. The Metropolis algorithm (Metropolis et al., 1953), a general Monte Carlo Markov Chain (MCMC) sampling method, has been widely used for model calibration and sensitivity analysis (e.g. Kuczera and Parent, 1998; Kanso et al., 2003). The robustness of the Bayesian approach compared to other methods is apparent from several studies (e.g Makowski et al., 2002; Gallagher and Doherty, 2007).
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