Articles | Volume 16, issue 14
https://doi.org/10.5194/gmd-16-4315-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-4315-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Recalibration of a three-dimensional water quality model with a newly developed autocalibration toolkit (EFDC-ACT v1.0.0): how much improvement will be achieved with a wider hydrological variability?
State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300350, China
Tianyu Fu
State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300350, China
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Cited
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- Eco-hydrologic model for assessing the climate and hydrologic elasticity of vegetation in mountain wetlands J. Seo et al. https://doi.org/10.1186/s40562-025-00429-y
- Navigating lake modelling and calibration: insights from literature and community practice S. Regev et al. https://doi.org/10.1016/j.ecolmodel.2026.111529
- Towards a generic model evaluation metric for non-normally distributed measurements in water quality and ecosystem models T. Fu & C. Zhang https://doi.org/10.1016/j.ecoinf.2024.102470
- How the choice of model calibration procedure affects projections of lake surface water temperatures for future climatic conditions J. Napiorkowski et al. https://doi.org/10.1016/j.jhydrol.2025.133236
- Exploring the Potential of Mathematical Self-Purification Models Used for Evaluating Water Quality in Rivers F. García-Avila et al. https://doi.org/10.3390/earth6040131
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- ADAPT: A novel IoT-driven analytical data assimilation method based on phase-space tuning for long-sequence water quality forecasting M. Sun et al. https://doi.org/10.1016/j.envsoft.2026.106882
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- MAformer: A multivariate prediction framework with adaptive multi-scale decomposition and phase correction for water quality in aquaculture environments H. Xing et al. https://doi.org/10.1016/j.envsoft.2026.106905
- Integrating impacts of climate change on aquatic environments in inter-basin water regulation: Establishing a critical threshold for best management practices D. Song et al. https://doi.org/10.1016/j.scitotenv.2023.169297
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18 citations as recorded by crossref.
- Exploring nonlinear responses of hydrodynamics and algal biomass to restoration measures in a eutrophic shallow urban lake P. Zhang et al. https://doi.org/10.1016/j.jconhyd.2026.104986
- Ecohydrologic model with satellite-based data for predicting streamflow in ungauged basins J. Choi et al. https://doi.org/10.1016/j.scitotenv.2023.166617
- Explainable Deep Learning for Research on the Synergistic Mechanisms of Multiple Pollutants: A Critical Review C. Liu et al. https://doi.org/10.3390/toxics14040335
- Hydraulic retention time driven inevitable and significant contribution of small tributaries on nutrient enrichment in the Source Region of the Yellow River X. Zhu et al. https://doi.org/10.1016/j.jhydrol.2025.133719
- Eco-hydrologic model for assessing the climate and hydrologic elasticity of vegetation in mountain wetlands J. Seo et al. https://doi.org/10.1186/s40562-025-00429-y
- Navigating lake modelling and calibration: insights from literature and community practice S. Regev et al. https://doi.org/10.1016/j.ecolmodel.2026.111529
- Towards a generic model evaluation metric for non-normally distributed measurements in water quality and ecosystem models T. Fu & C. Zhang https://doi.org/10.1016/j.ecoinf.2024.102470
- How the choice of model calibration procedure affects projections of lake surface water temperatures for future climatic conditions J. Napiorkowski et al. https://doi.org/10.1016/j.jhydrol.2025.133236
- Exploring the Potential of Mathematical Self-Purification Models Used for Evaluating Water Quality in Rivers F. García-Avila et al. https://doi.org/10.3390/earth6040131
- Fine-tuning long short-term memory models for seamless transition in hydrological modelling: From pre-training to post-application X. Chen et al. https://doi.org/10.1016/j.envsoft.2025.106350
- Improving 3D temperature modeling of tropical lakes through seasonal heat flux calibration M. Duka et al. https://doi.org/10.1007/s40808-025-02488-8
- Extensive model evaluation for seasonal and spatial dynamics of dissolved oxygen in SWAT+ K. Peters et al. https://doi.org/10.1016/j.envsoft.2026.106959
- Enhancing reservoir water quality simulation through machine learning-driven remote sensing integration with EFDC: a coupled framework for eutrophication management in data-scarce regions H. Meng et al. https://doi.org/10.1038/s41598-026-46641-4
- ADAPT: A novel IoT-driven analytical data assimilation method based on phase-space tuning for long-sequence water quality forecasting M. Sun et al. https://doi.org/10.1016/j.envsoft.2026.106882
- Improve streamflow simulations by combining machine learning pre-processing and post-processing Y. Zhang et al. https://doi.org/10.1016/j.jhydrol.2025.132904
- MAformer: A multivariate prediction framework with adaptive multi-scale decomposition and phase correction for water quality in aquaculture environments H. Xing et al. https://doi.org/10.1016/j.envsoft.2026.106905
- Integrating impacts of climate change on aquatic environments in inter-basin water regulation: Establishing a critical threshold for best management practices D. Song et al. https://doi.org/10.1016/j.scitotenv.2023.169297
- Comparison of Calibration Strategies for Daily Streamflow Simulations in Semi-Arid Basins K. Ait Naceur et al. https://doi.org/10.1007/s11269-024-04007-3
Saved (final revised paper)
Latest update: 09 Jun 2026
Short summary
A new automatic calibration toolkit was developed and implemented into the recalibration of a 3-D water quality model, with observations in a wider range of hydrological variability. Compared to the model calibrated with the original strategy, the recalibrated model performed significantly better in modeled total phosphorus, chlorophyll a, and dissolved oxygen. Our work indicates that hydrological variability in the calibration periods has a non-negligible impact on the water quality models.
A new automatic calibration toolkit was developed and implemented into the recalibration of a...