MARATTO

article · IOP Conference Series Earth and Environmental Science

Application of the Soil and Water Assessment Tool (SWAT) Model for hydrological modelling in the Upper Oum Er Rbia watershed (Middle Atlas, Morocco)

20241 citationOpen accessUniversité Sultan Moulay Slimane

Abstract

Abstract In the study assessing the impact of global change on hydrosystems, particularly water resources, calibrated and validated tools are deemed crucial for accurate representation of the area’s characteristics. The Soil and Water Assessment Tool “SWAT” model is identified through literature review as well-suited for evaluating changes in land use and climate effects on water balance components. Applied to the Upper Oum Er Rbia watershed and its sub-basins, namely Oum Er Rbia, Srou, and Ouaoumana, the SWAT model demonstrates its effectiveness over the 1982-2019 period. Employing the sequential uncertainty adjustment method (SUFI-2) in SWAT-CUP software for calibration and validation, the model achieves good performance in simulating river flows. Statistical tests, including “R²,” “NSE,” “PBIAS,” and “RSR,” reveal consistent accuracy across various stations. The positive outcomes affirm the SWAT model’s operational capability for diagnostic assessments, risk evaluation, adaptation measures, and potential future projections in these three sub-basins.

Research topics

  • Hydrology and Watershed Management Studies
  • Hydrology and Drought Analysis
  • Flood Risk Assessment and Management

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.1088/1755-1315/1398/1/012014

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.