River Model Calibration Based on Design of Experiments Theory. A Case Study: Meta River, Colombia
Artículo de revista
2019-06-29
Water
Numerical models are important tools for analyzing and solving water resources problems;
however, a model’s reliability heavily depends on its calibration. This paper presents a method
based on Design of Experiments theory for calibrating numerical models of rivers by considering
the interaction between different calibration parameters, identifying the most sensitive parameters
and finding a value or a range of values for which the calibration parameters produces an adequate
performance of the model in terms of accuracy. The method consists of a systematic process for
assessing the qualitative and quantitative performance of a hydromorphological numeric model.
A 75 km reach of the Meta River, in Colombia, was used as case study for validating the method.
The modeling was conducted by using the software package MIKE-21C, a two-dimensional flow
model. The calibration is assessed by means of an Overall Weighted Indicator, based on the coefficient
of determination of the calibration parameters and within a range from 0 to 1. For the case study,
the most significant calibration parameters were the sediment transport equation, the riverbed load
factor and the suspended load factor. The optimal calibration produced an Overall Weighted Indicator
equal to 0.857. The method can be applied to any type of morphological models.
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River Model Calibration Based on Design of Experiments Theory. A Case Study Meta River, Colombia.pdf
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Título: River Model Calibration Based on Design of Experiments Theory. A Case Study Meta River, Colombia.pdf
Tamaño: 3.154Mb
PDFLEER EN FLIP
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