A5092676761- Soil erosion and sediment transport
- Flood Risk Assessment and Management
- Hydrology and Watershed Management Studies
- Landslides and related hazards
- Land Use and Ecosystem Services
- Aeolian processes and effects
- Tree Root and Stability Studies
- Groundwater and Watershed Analysis
- Hydrology and Drought Analysis
- Water resources management and optimization
- African Botany and Ecology Studies
- Transboundary Water Resource Management
- Remote Sensing and LiDAR Applications
- Soil Geostatistics and Mapping
- Water-Energy-Food Nexus Studies
- Geochemistry and Geologic Mapping
Cadi Ayyad University
2023-2024
Gully erosion is a widespread environmental danger, threatening global socio-economic stability and sustainable development. This study comprehensively applied seven machine learning (ML) models including SVM, KNN, RF, XGBoost, ANN, DT, LR, evaluated gully susceptibility in the Tensift catchment predict it within Haouz plain, Morocco. To ensure reliability of findings, employed robust combination inventory, sentinel images, Digital Surface Model. Eighteen predictors, encompassing...
The port of Tangier Med is essential due to its strategic location, as it an important trading center linking Europe, North America, and Africa. However, the increased rates downstream sediment transportation put pressure on sustainable future port. Thus, assessing existing erosion improvement scenarios imperative for planning management at catchment level. We utilize Erosion Potential Model (EPM) combined with Intensity Outflow (IntErO) algorithm assess outflow intensity distinguish...
Abstract This study explores and compares the predictive capabilities of various ensemble algorithms, including SVM, KNN, RF, XGBoost, ANN, DT, LR, for assessing flood susceptibility (FS) in Houz plain Moroccan High Atlas. The inventory map past flooding was prepared using binary data from 2012 events, where “1” indicates a flood-prone area “0” non-flood-prone or extremely low area, with 762 indicating areas. 15 different categorical factors were determined selected based on importance...
Road infrastructure is vital for economic development, connecting various locations. However, in Morocco, landslides pose recurring challenges to road projects due factors like lithology, climate, rift structures, and high altitudes the High Atlas Mountains. Developing susceptibility maps crucial anticipate take appropriate actions. National Number 9, particularly Tizi N'tichka region Atlas, experiences significant landslide issues. This study used frequency ratio (RF) prediction rate (PR)...
Abstract This study breaks new ground by developing a multi-hazard vulnerability map for the Tensift watershed and Haouz plain in Moroccan High Atlas area. The unique juxtaposition of flat mountainous terrain this area increases sensitivity to natural hazards, making it an ideal location research. Previous extreme events region have underscored urgent need proactive mitigation strategies, especially as these hazards increasingly intersect with human activities, including agriculture...
The primary aim of this study was to assess landslide susceptibility in the N'fis watershed by leveraging Geographic Information System (GIS) and remote sensing data. Three statistical models, namely frequency ratio (FR), information value (IV) logistic regression (LR), were applied compared. process began with mapping an inventory 156 landslides where 70% data served train models remaining 30% used for validation. second step involved thematic 14 causative factors. Subsequently, evaluated...