A new article has just been published in Hydrology & Earth System Sciences, introducing a refined calibration method for 1D hydrodynamic models in tidal river systems with limited data.
Using Vietnam's Saigon - Camenen (INRAE), Nguyen Trung Tin (CARE), Tran Tu (Ho Chi Minh City University of Technology - HCMUT), Thierry Pellarin (CNRS/IGE), and Nicolas Gratiot (IRD/IGE), demonstrates that:
By integrating sparse water level and discharge data with a modified Manning - Strickler law, model errors can be reduced by up to 44%.
This practical approach provides valuable contributions to flood risk management, pollution control, and the strengthening of coastal resilience. Particularly in regions with limited monitoring infrastructure, this method opens new perspectives for sustainable water management strategies.

Read the full article: https://hess.copernicus.org/articles/29/4327/2025
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