- Soil erosion and sediment transport
- Hydrology and Watershed Management Studies
- Flood Risk Assessment and Management
- Climate change impacts on agriculture
- Hydrology and Drought Analysis
- Aeolian processes and effects
- Spectroscopy and Chemometric Analyses
- Soil Geostatistics and Mapping
- Water management and technologies
- Land Use and Ecosystem Services
- Climate variability and models
- Hydrology and Sediment Transport Processes
- Irrigation Practices and Water Management
- Soil and Land Suitability Analysis
- Soil and Water Nutrient Dynamics
- Historical and Environmental Studies
- Precipitation Measurement and Analysis
- Meteorological Phenomena and Simulations
- Mineral Processing and Grinding
- Spectroscopy Techniques in Biomedical and Chemical Research
- Greenhouse Technology and Climate Control
- Agriculture and Rural Development Research
- Groundwater and Watershed Analysis
- Remote Sensing in Agriculture
Université Mohammed VI Polytechnique
2020-2024
Polytechnic University
2024
Université Hassan II Mohammedia
2023
University of Montenegro
2023
Mohammed V University
2023
Abdelmalek Essaâdi University
2016-2019
Modeling of land use and cover (LULC) is a very important tool, particularly in the agricultural field: it allows us to know potential changes area future consider developments order prevent probable risks. The idea give representation situations based on certain assumptions. objective this study make predictions watershed “9 April 1947”, years 2028, 2038 2050. Then, maps obtained with climate will be integrated into an agro-hydrological model water yield, sediment yield balance studied by...
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...
An efficient design for erosion-control structures of any watershed in the world is entrusted with delicate forecasting sediment yields. These outlook yields are usually inferred by extrapolations from past observations. Because runoff, as transporting vehicle, more closely correlated than other variable. So, calibration well validation process-based hydrological models two major processes while estimating yield watershed. The actual survey fulfilled aim developing a trustworthy hydrologic...
Soil erosion from agricultural fields is a worldwide problem, to influence water quality, soil fertility and reservoir sedimentation especially in Mediterranean countries such as Morocco. In fact, this work assesses the effects of Best Management Practices (BMPs) on sediments using Water Assessment Tool (SWAT) model Kalaya watershed Northern Morocco, recommend most appropriate practice. This study based use three usable practices: contouring, strip-cropping terracing, by calibrated SWAT...
For many years, the application of mixed-effects modeling has received much attention for predicting scenarios in fields theoretical and applied sciences. In this study, a "new" Multilevel Linear Mixed-Effects (LME) model is proposed to analyze predict multiply-nested hierarchical data. Temperature rainfall observation were carried out successively between 1979-2014 1984-2018; data input was organized on monthly basis each year. Besides, daily made "Dar Chaoui" zone Northern Morocco....
Sedimentary and aquatic dynamics are currently causing major environmental problems in the Mediterranean countries, water soil resources steadily decreasing over time. Therefore, simulation estimation of flows sediments have a direct implication sustainable management soils. In present study, watershed (North-West Morocco) was benefited from functionalities Hydrological Model SWAT, version 2012 (semi-distributed physically based), by adopting monthly simulation. The main objective this study...
Abstract In this study, we evaluated the suitability of semi-arid region Central Morocco for wheat production using Agricultural Production Systems sIMulator (APSIM) considering weather, soil properties and crop management factors. Model calibration was carried out data collected from field trials. A quantitative statistics, i.e., root mean square error (RMSE), Nash–Sutcliffe efficiency (NSE), index agreement (d) were used in model performance evaluation. Furthermore, series simulations...
Terraced agroecosystems (TAS)—apart from being an important cultural heritage element—are considered vital for sustainable water resource management and climate change adaptation measures. However, this traditional form of agriculture, with direct implications in food security at a local scale, has been suffering abandonment or degradation worldwide. In light this, the need to fully comprehend complex linkage their different driving forces is essential. The identification these dynamics...
Abstract A major problem facing the water sector in Algeria is deteriorating quality, which strongly influenced by nutrient inputs to agricultural watersheds. To mitigate effects of activities and enhance this study considered impact different best management practices (BMPs) agriculture. The objective research was evaluate impacts various BMPs on nitrate losses Sebdou catchment north‐west Africa using Soil Water Assessment Tool (SWAT) model order identify recommend most appropriate BMP....
The main objective of this study was to investigate the effects climate and land-use changes on water availability sediment loads in April 9 dam basin northern Morocco, using data-rich simulation models an area characterized by limited data availability. Impacts were evaluated for 4 scenarios yield, yield balance until 2050, all after calibration validation baseline period. Soil Water Assessment Tool (SWAT) model used perform simulations under current projected environmental conditions. Five...
Focusing on the Oued Laou watershed, this study presents an innovative approach to simulate daily precipitation over a 35-year period in northern Morocco. We used SARIMAX (AutoRegressive Seasonal Moving Average with Exogenous Variables) model and combined its potential Python programming language achieve these Predictions. The is advanced time series analysis tool that integrates exogenous, autoregressive, seasonal integrated variables. This capable of accurately predicting daily, monthly...
Soil erosion induced by water constitutes a challenge with far-reaching environmental and socioeconomic implications across diverse global regions.This phenomenon detrimentally affects agricultural yield, accelerates dam siltation, amplifies the susceptibility to flooding.Consequently, prerequisite for any land development initiative is meticulous identification mapping of areas prone erosion.The Revised Universal Loss Equation (RUSLE) predominant method evaluating soil erosion, encompassing...
<p>Recent studies on vulnerability to climate and land use change show a trend towards increased aridity accelerating soil erosion which is the primary factor be considered by decision makers in environmental field. Furthermore, reduce intensity, it required clarify sources zones of sediment yield where conservation works have focus on. The model selected for this work Soil Water Assessment Tool (SWAT) one many models widely used assess risk simulate measures efficiency. In...
Statistical preprocessing methods are widely used to improve the predictive performance of chemometric models especially on MIR and NIR spectral database. The main role pretreatments in case soil spectroscopy is remove/reduce scattering impact, thus, highlight part signal related chemical, physical or biological properties interest. Nevertheless, given complexity as a matrix, together pure absorption data information hidden key interest they cooperatively describe physicochemical state...