Hydrodynamic and Hydrographic Modeling of Istanbul Strait

Abstract

The aim of this study is to model the hydrodynamic processes of the Istanbul Strait with its stratified flow characteristics, and calibrate the most important parameters using local and global search algorithms. For that, two open boundary conditions are defined, which are in the northern and southern parts of the Strait. Observed bathymetric, hydrographic, meteorological, and water-level data are used to set up the Delft3D-FLOW model. First, the sensitivities of the model parameters on the numerical model outputs are assessed using Parameter EStimation Tool (PEST) toolbox. Then, the model is calibrated based on the objective functions, focusing on the flow rates of the upper and lower layers. The salinity and temperature profiles of the strait are only used for model validation. The results show that the calibrated model outputs of the Istanbul Strait are reliable and consistent with the in situ measurements. The sensitivity analysis reveals that the spatial low-pass filter coefficient, horizontal eddy viscosity, Prandtl–Schmidt number, slope in log–log spectrum, and Manning roughness coefficient are most sensitive parameters affecting the flow rate performance of the model. The agreement between observed salinity profiles and simulated model outputs is promising, whereas the match between observed and simulated temperature profiles is weak, showing that the model can be improved, particularly for simulating the mixing layer.

Bayesian Calibration Points to Misconceptions in Three‐Dimensional Hydrodynamic Reservoir Modeling

“…Table 1 shows the considered value ranges (interpreted as uniform probability distributions) for the three calibration parameters, which stem from the literature (see Supporting Information and Bermúdez et al., 2018; Dissanayake et al., 2019; Dong et al., 2020; Koşucu et al., 2019; Li et al., 2010; Salehi, 2017), the Delft3D user manual (Deltares, 2022), and our experience. These distributions formed the prior distributions to be updated to posterior distributions in the Bayesian calibration (see next section).…”

The Hydrodynamic Impact of the South-to-North Water Diversion Project on the Lower-reach Lake of Nansi Lake

“…Cunha et al proposed a method for building a 3D hydrodynamic model of the wind cycle using the kinematic element method [4] . Koşucu et al applied the Parameter Estimation Tool (PEST) toolbox to assess the sensitivity of the model parameters on the numerical model output [5] . Liao used the Delft3D model to build a hydrodynamic planar twodimensional model of the Changwu New Town section of the Liu River [6] .…”

Correction: Koşucu, M.M., et al. Hydrodynamic and Hydrographic Modeling of Istanbul Strait. Processes 2019, 7, 710

“…In short, below is the complete and correct Figure 7. We were not aware of an error made in the proofreading phase; therefore, we wish to make the following correction to Figure 7b from this paper [1].…”