| Issue |
E3S Web Conf.
Volume 708, 2026
7th International Conference on Smart Applications and Water Information Systems: “Intelligent Systems, Geospatial Technologies and Modeling for the Sustainable Management of Water Resources” (SAWIS 2025)
|
|
|---|---|---|
| Article Number | 01004 | |
| Number of page(s) | 12 | |
| Section | Climate Change, Hydrology, and Water Resources | |
| DOI | https://doi.org/10.1051/e3sconf/202670801004 | |
| Published online | 30 April 2026 | |
Lumped versus distributed hydrological modelling using HEC-HMS with Soil Moisture Accounting: Application to the Loukkos basin, Morocco
1 Agronomy and Veterinary Institute of Hassan II, Rabat, Morocco, Department of Rural Engineering, Rabat, Morocco
2 Novec Engineering, Rabat, Morocco
3 Ministry of Equipment and Water, Water Research and Planning Directorate, Rabat, Morocco
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
This study develops and compares a lumped and a distributed hydrological model for the Loukkos river basin in northern Morocco, using the HEC-HMS platform with the Soil Moisture Accounting (SMA) loss method. The Loukkos basin (3740 km2) is prone to recurrent flooding and requires reliable rainfall-runoff simulation tools for early warning purposes. Both models were calibrated and validated on independent periods containing documented flood events. A sensitivity analysis identified Soil Storage, Tension Storage, and Maximum Infiltration as the most influential SMA parameters. The lumped model achieved a Nash-Sutcliffe Efficiency (NSE) of 0.537 during calibration and 0.624 during validation, while the distributed model reached 0.749. Despite higher computational costs, the distributed model captures spatial variability in precipitation and land cover more effectively. The sub-basin-level comparison indicates that current performance differences are primarily attributable to calibration constraints rather than to fundamental modelling limitations. Results suggest that further calibration refinement, supported by improved spatial data, can enhance flood forecasting capabilities in the basin.
Key words: Hydrological modelling / HEC-HMS / Soil Moisture Accounting / lumped model / distributed model / Loukkos basin
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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