Preprints
https://doi.org/10.5194/gmd-2022-303
https://doi.org/10.5194/gmd-2022-303
Submitted as: development and technical paper
 | 
06 Mar 2023
Submitted as: development and technical paper |  | 06 Mar 2023
Status: this preprint is currently under review for the journal GMD.

Recalibration of a three-dimensional water quality model with a newly developed autocalibration toolkit (EFDC-ACT v1.0.0): does the model calibrated with a wider hydrological variability become more robust?

Chen Zhang and Tianyu Fu

Abstract. Over recent years, the dramatic hydrological variability has challenged the robustness of process-based hydrodynamic and water quality models to long-term continuous biogeochemical processes. In this study, we developed a new R-based autocalibration toolkit for the Environmental Fluid Dynamics Code (EFDC) and implemented it into the recalibration of the Yuqiao Reservoir Water Quality Model (YRWQM) with long-term observations from 2006 to 2015, including dry, normal, and wet years. The autocalibration toolkit facilitated recalibration and contributed to exploring how the model recalibrated with long-term observations performs more accurately and robustly. Previously, the original YRWQM was calibrated and validated with observations of dry years in 2006 and 2007, respectively. Compared to the original YRWQM, the recalibrated YRWQM performed as well in water surface elevation with a Kling-Gupta Efficiency (KGE) of 0.99 and water temperature with a KGE of 0.91, while better in modeling total phosphorus (TP), chlorophyll a (Chl a), and dissolved oxygen (DO) with KGEs of 0.10, 0.30, and 0.74 respectively. Furthermore, to analyze the impact of different hydrological years as calibration periods on the model accuracy and robustness, we also calibrated the model in dry, normal, and wet years. The model calibrated in dry years overestimated DO concentrations, probably explained by the parameter of algal growth rate increased by 84 %. The model calibrated in wet years performed poorly for Chl a due to a 50 % reduction in the carbon-to-chlorophyll ratio probably triggered by changes in the composition of the algal population. Our study suggests that calibrating process-based hydrodynamic and water quality models with long-term observations may be an important measure to improve the robustness of models under severe hydrological variability. The newly developed general automatic calibration toolkit and a possible hierarchical autocalibration strategy will also be a powerful tool for future complex model calibration.

Chen Zhang and Tianyu Fu

Status: open (until 01 May 2023)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Chen Zhang and Tianyu Fu

Data sets

Observed data Chen Zhang and Tianyu Fu https://doi.org/10.5281/zenodo.7632109

Model code and software

EFDC-ACT source code Chen Zhang and Tianyu Fu https://doi.org/10.5281/zenodo.7438143

Chen Zhang and Tianyu Fu

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Short summary
A new automatic calibration toolkit was developed and implemented into the recalibration of a three-dimensional water quality model with observations in a wider range of hydrological variability. Compared to the original model, the recalibrated model performed significantly better in modeled TP, Chla, and DO. Our work indicates that hydrological variability in the calibration periods has a non-negligible impact on the water quality models.