A5043349064- Soil erosion and sediment transport
- Geological and Geophysical Studies Worldwide
- Flood Risk Assessment and Management
- Groundwater and Watershed Analysis
- Hydrology and Watershed Management Studies
- Mediterranean and Iberian flora and fauna
- Landslides and related hazards
- Archaeological and Historical Studies
- Archaeological and Geological Studies
- Hydrology and Drought Analysis
- Tree Root and Stability Studies
- Groundwater and Isotope Geochemistry
- earthquake and tectonic studies
- Fire effects on ecosystems
- Geological and Geochemical Analysis
- Remote Sensing and LiDAR Applications
- Precipitation Measurement and Analysis
- African Botany and Ecology Studies
- Aeolian processes and effects
- Climate variability and models
- Soil and Land Suitability Analysis
Cadi Ayyad University
2001-2024
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...
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 Landslides in mountainous areas are one of the most important natural hazards and potentially cause severe damage loss human life. In order to reduce this damage, it is essential determine vulnerable sites. The objective study was produce a landslide vulnerability map using weight evidence method (WoE), Radial Basis Function Network (RBFN), Support Vector Machine (SVM) for N'fis basin located on northern border Marrakech High Atlas, area prone landslides. Firstly, an inventory...
Abstract Satellite-based precipitation products, with simultaneously high spatial and temporal resolutions, are mostly needed to assess climate change repercussions. Previous research used datasets neglecting either good or resolution, PERSIANN-CCSCDR, ERA5, SM2RAIN-ASCAT some of the projects aiming remedy these limitations. This study's goal is evaluate accuracy PERSIANN-CCS-CDR, at a monthly scale their suitability for drought assessment in Moroccan semiarid watershed. Several statistical...
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...
Geochemical and isotopic investigations were carried out to indicate the interaction process between Ifni Lake water high valley of Tifnoute springs. A total 18 samples collected analyzed. The constitutes a veritable resource in study area, this can be origin alimentation springs located Tifnoute. This aims improve It is mainly focused identify groundwater recharge mineralization. environmental isotope (deuterium (δ2H) oxygen-18 (δ18O)) measurements allowed understanding hydro geochemical...