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6 Results Found

  • Article
  • Open Access
10 Citations
3,380 Views
18 Pages

Early Forecasting Hydrological and Agricultural Droughts in the Bouregreg Basin Using a Machine Learning Approach

  • Ayoub Nafii,
  • Abdeslam Taleb,
  • Mourad El Mesbahi,
  • Mohamed Abdellah Ezzaouini and
  • Ali El Bilali

29 December 2022

Water supply for drinking and agricultural purposes in semi-arid regions is confronted with severe drought risks, which impact socioeconomic development. However, early forecasting of drought indices is crucial in water resource management to impleme...

  • Article
  • Open Access
1 Citations
1,390 Views
19 Pages

Comparison of Machine Learning Models for Real-Time Flow Forecasting in the Semi-Arid Bouregreg Basin

  • Fatima Zehrae Elhallaoui Oueldkaddour,
  • Fatima Wariaghli,
  • Hassane Brirhet,
  • Ahmed Yahyaoui and
  • Hassane Jaziri

Morocco is geographically located between two distinct climatic zones: temperate in the north and tropical in the south. This situation is the reason for the temporal and spatial variability of the Moroccan climate. In recent years, the increasing sc...

  • Article
  • Open Access
46 Citations
5,779 Views
27 Pages

1 July 2020

The evaluation and quantification of solids transport in Morocco often uses the Universal Soil Loss Model (USLE) and the revised version RUSLE, which presents a calibration difficulty. In this study, we apply the MUSLE model to predict solid transpor...

  • Article
  • Open Access
38 Citations
7,338 Views
24 Pages

Assessing Hydrological Vulnerability to Future Droughts in a Mediterranean Watershed: Combined Indices-Based and Distributed Modeling Approaches

  • Youssef Brouziyne,
  • Aziz Abouabdillah,
  • Abdelghani Chehbouni,
  • Lahoucine Hanich,
  • Karim Bergaoui,
  • Rachael McDonnell and
  • Lahcen Benaabidate

19 August 2020

Understanding the spatiotemporal distribution of future droughts is essential for effective water resource management, especially in the Mediterranean region where water resources are expected to be scarcer in the future. In this study, we combined m...

  • Article
  • Open Access
23 Citations
4,598 Views
19 Pages

Predicting Daily Suspended Sediment Load Using Machine Learning and NARX Hydro-Climatic Inputs in Semi-Arid Environment

  • Mohamed Abdellah Ezzaouini,
  • Gil Mahé,
  • Ilias Kacimi,
  • Ali El Bilali,
  • Abdelaziz Zerouali and
  • Ayoub Nafii

10 March 2022

Sediment transport in basins disturbs the ecological systems of the water bodies and leads to reservoir siltation. Its evaluation is crucial for managing water resources. The practical application of the process-based model can confront some limitati...

  • Article
  • Open Access
3 Citations
1,205 Views
8 Pages

Hydrological Modeling of Rainfall-Runoff of the Semi-Arid Aguibat Ezziar Watershed Through the GR4J Model

  • Fatima-Zehrae Elhallaoui Oueldkaddour,
  • Fatima Wariaghli,
  • Hassane Brirhet and
  • Ahmed Yahyaoui

22 December 2021

The management of water resources requires as a first step the modeling of rainfall-runoff. It allows simulating the hydrological behavior of the basin for a good evaluation of the potentiality of this in terms of water production. There are differen...