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Open AccessArticle

Improving the Accuracy of Hydrodynamic Model Predictions Using Lagrangian Calibration

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Civil and Environmental Engineering, University of the Sunshine Coast, Sippy Downs, QLD 4556, Australia
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Environmental Fluid Mechanics Group, Queensland University of Technology, Brisbane, QLD 4000, Australia
3
Sustainability Research Centre, University of the Sunshine Coast, Sippy Downs, QLD 4556, Australia
4
Mountain Societies Research Institute, University of Central Asia, Khorog 736112, Tajikistan
*
Author to whom correspondence should be addressed.
Water 2020, 12(2), 575; https://doi.org/10.3390/w12020575
Received: 31 December 2019 / Revised: 12 February 2020 / Accepted: 17 February 2020 / Published: 20 February 2020
While significant studies have been conducted in Intermittently Closed and Open Lakes and Lagoons (ICOLLs), very few have employed Lagrangian drifters. With recent attention on the use of GPS-tracked Lagrangian drifters to study the hydrodynamics of estuaries, there is a need to assess the potential for calibrating models using Lagrangian drifter data. Here, we calibrated and validated a hydrodynamic model in Currimundi Lake, Australia using both Eulerian and Lagrangian velocity field measurements in an open entrance condition. The results showed that there was a higher level of correlation (R2 = 0.94) between model output and observed velocity data for the Eulerian calibration compared to that of Lagrangian calibration (R2 = 0.56). This lack of correlation between model and Lagrangian data is a result of apparent difficulties in the use of Lagrangian data in Eulerian (fixed-mesh) hydrodynamic models. Furthermore, Eulerian and Lagrangian devices systematically observe different spatio-temporal scales in the flow with larger variability in the Lagrangian data. Despite these, the results show that Lagrangian calibration resulted in optimum Manning coefficients (n = 0.023) equivalent to those observed through Eulerian calibration. Therefore, Lagrangian data has the potential to be used in hydrodynamic model calibration in such aquatic systems. View Full-Text
Keywords: estuary; Eulerian instruments; Lagrangian drifters; hydrodynamic model accuracy; model calibration estuary; Eulerian instruments; Lagrangian drifters; hydrodynamic model accuracy; model calibration
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Mardani, N.; Suara, K.; Fairweather, H.; Brown, R.; McCallum, A.; Sidle, R.C. Improving the Accuracy of Hydrodynamic Model Predictions Using Lagrangian Calibration. Water 2020, 12, 575.

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