Back to Search
Start Over
On the global parameterization of a 1DV hydromorphodynamic model of estuaries, the case of the Ems estuary.
- Source :
-
Environmental Modelling & Software . Aug2024, Vol. 179, pN.PAG-N.PAG. 1p. - Publication Year :
- 2024
-
Abstract
- Each submodel in a hydro-morphodynamic model has its own local calibration parameters, leading to a high degree of uncertainty in their application. This paper proposes a global parameterization framework of hydro-morphodynamic models, which involves the development and implementation of submodels that share some common calibration parameters. The proposed model reduces the total number of adjustable parameters while helping to better understand the physics of the problem. As a case study, a holistic 1D vertical numerical simulation of the Ems estuary has been established. This simulation is proficient in qualitatively reproducing observed profiles of vertical velocity, concentration, and velocity shear. Using the proposed global parameterization, the model is calibrated using only measured rheological data from the Ems estuary, with these parameters universally applied to all submodels, eliminating the need for separate calibration for other submodels. The simulation demonstrates a commendable agreement with measurements while concurrently reducing the number of calibration parameters. • Introduces a global framework sharing calibration parameters among submodels. • Streamlines adjustable parameters and enhances understanding of underlying physics. • Tested in the Ems estuary case study using a 1D vertical numerical simulation. • Demonstrates strong measurement agreement and reduces calibration parameters. [ABSTRACT FROM AUTHOR]
- Subjects :
- *ESTUARIES
*PARAMETERIZATION
*CALIBRATION
*COMPUTER simulation
Subjects
Details
- Language :
- English
- ISSN :
- 13648152
- Volume :
- 179
- Database :
- Academic Search Index
- Journal :
- Environmental Modelling & Software
- Publication Type :
- Academic Journal
- Accession number :
- 178478189
- Full Text :
- https://doi.org/10.1016/j.envsoft.2024.106125