Naceur K. A., El Khalki E., Hadri A., Jaffar O., Brocca L., Saidi M. E., Tramblay Yves, Chehbouni Abdelghani. (2024). Comparison of calibration strategies for daily streamflow simulations in semi-arid basins. Water Resources Management, [Early access], p. [17 p.]. ISSN 0920-4741.
Titre du document
Comparison of calibration strategies for daily streamflow simulations in semi-arid basins
Naceur K. A., El Khalki E., Hadri A., Jaffar O., Brocca L., Saidi M. E., Tramblay Yves, Chehbouni Abdelghani
Source
Water Resources Management, 2024,
[Early access], p. [17 p.] ISSN 0920-4741
Hydrological modeling is a crucial tool for water resources management. It becomes more important in data-scarce regions like Morocco. Therefore, accurate parameter tuning of models used in this region is vital for reliable predictions. Traditionally, the Nelder-Mead Simplex Algorithm has been used to calibrate the GR4J and MISDc models. However, this study aims to enhance the calibration process by employing Particle Swarm Optimization (PSO), Nelder-Mead Simplex Algorithm (FMIN), Simulated Annealing (SA), and Genetic Algorithm (GA) for daily streamflow forecasts across 26 basins. A sensitivity analysis of their parameters was performed, along with the use of various calibration scenarios. In addition, a snow module was used in the mountainous basins. The research reveals significant sensitivity of the GR4J groundwater exchange coefficient and MISDc parameters related to soil, drainage, and snow dynamics. FMIN and PSO proved to be the most efficient, and the MISDc model outperformed GR4J. The choice of splitting scenario proved critical, and the lower model performance was attributed to discrepancies between calibration and validation periods in terms of runoff coefficients, precipitation-runoff correlations, and the distribution of dry and wet years. Integrating a snow module in both models enhanced their performance in larger basins.
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020]
;
Hydrologie [062]
