Increasing demand for marine resources is a significant concern in today's world due to the limited availability of resources and the rapid population growth. The multi-use of offshore platforms has been introduced as a sustainable solution for resource utilization by many countries worldwide. However, researches are still being carried out to check the feasibility of these offshore platforms in aquaculture activities, renewable energy generation, tourism, and many other sectors. Before designing these infrastructures, it is essential to identify the suitable marine environments for each activity based on the required conditions and characteristics of the marine environments. Thus, numerical models play a vital role in simulating these marine environments and consequently will be used as a decision-making tool in feasibility studies and operational activities. The calibration of these numerical models is essential to have more reliable model outputs. However, these numerical models have many inputs parameters and physical variables on which the outputs depend. Sensitivity analysis can reduce the effort to calibrate complex numerical models with many input parameters by identifying the most influential inputs to an output variable. The main objective of the current research was to select the most significant input parameters to two selected outputs of a hydrodynamic model.
DCSM is a hydrodynamic model developed for the North Sea by Deltares using the D-Flow FM model suite of Delft3D. Two selected local and global sensitivity analysis methods were applied to the above hydrodynamic model to test the sensitivities of temperature and current velocities to a selected subset of input parameters. The Morris method is used as a screening method to identify the order of the significance of input parameters. The variance-based Sobol’ method was used in global sensitivity analysis for the input parameters screened from the Morris method.
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