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Improving Hydrodynamic Modelling: an Analytical Framework for Assessment of Two‐Dimensional Hydrodynamic Models
Author(s) -
Wright K. A.,
Goodman D. H.,
Som N. A.,
Alvarez J.,
Martin A.,
Hardy T. B.
Publication year - 2017
Publication title -
river research and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.679
H-Index - 94
eISSN - 1535-1467
pISSN - 1535-1459
DOI - 10.1002/rra.3067
Subject(s) - calibration , field (mathematics) , hydrological modelling , computer science , process (computing) , foundation (evidence) , elevation (ballistics) , interpretation (philosophy) , model validation , environmental science , data mining , hydrology (agriculture) , geology , mathematics , statistics , geotechnical engineering , data science , geography , programming language , operating system , geometry , archaeology , climatology , pure mathematics
Two‐dimensional hydrodynamic models are increasingly common in riverine research and management. However, input data are not standardized among studies, and assessments of model performance are uncommon, which hinder interpretation of model results and comparisons among studies. Herein, we describe a framework for two‐dimensional hydrodynamic model input data collection, model calibration and validation to evaluate model predictions. We present a logical process for the validation of depth and velocity that recognizes the inherent spatial uncertainty in the field measurements and modelling results. The hydrodynamic model we present as an example shows agreement between predicted and observed water surface elevation, area of inundation and spatial distributions of depth and velocity at calibration and independent validation discharges. If this model development and assessment framework was adopted by others, it would allow comparison between studies and provide a foundation for establishing model performance standards. Copyright © 2016 John Wiley & Sons, Ltd.