Flow Regime-Dependent, Discharge Uncertainty Envelope for Uncertainty Analysis with Ensemble Methods

نویسندگان

چکیده

A discharge uncertainty envelope is presented that provides an observation error model for data assimilation (DA) using observations derived from measurement of stage a rating curve. It uniquely represents the curve representation error, which due to scale and process incompatibility between hydrodynamic “true” discharge, within model. Ensemble methods, specifically, iterative ensemble smoother (IES) algorithms in PEST++, provide DA framework this The purpose describe prior methods DA. Envelope implementation goals are (1) limiting spread avoid conditioning extreme parameter values producing posterior distributions with increased variance, (2) incorporating representative degree overfitting, will introduce bias into estimates predicted outcomes. expected flow regime dependent delineated stochastic, statistical before undertaking history matching IES. Analysis goodness-of-fit stochastically estimated observed criteria selection best-fit ensembles IES results.

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ژورنال

عنوان ژورنال: Water

سال: 2023

ISSN: ['2073-4441']

DOI: https://doi.org/10.3390/w15061133