A Bayesian approach for evaluation of the effect of water quality model parameter uncertainty on TMDLs: A case study of Miyun Reservoir
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文摘

Effect of water quality model parameter uncertainty on TMDLs was evaluated.

A Bayesian approach was used for the model parameter uncertainty analysis.

DREAM algorithm, a multi-chain MCMC, was used as the Bayesian approach.

Miyun Reservoir, the most important drinking water source for Beijing, was studied.

Wide ranges of allowable loads were obtained through uncertainty propagation.

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