An interpretable machine learning approach based on DNN, SVR, Extra Tree, and XGBoost models for predicting daily pan evaporation
A El Bilali, T Abdeslam, N Ayoub, H Lamane… - Journal of …, 2023 - Elsevier
Evaporation is an important hydrological process in the water cycle, especially for water
bodies. Machine Learning (ML) models have become accurate and powerful tools in …
bodies. Machine Learning (ML) models have become accurate and powerful tools in …
Soil water erosion assessment in Morocco through modeling and fingerprinting applications: A review
H Lamane, R Moussadek, B Baghdad, L Mouhir… - Heliyon, 2022 - cell.com
During the last century, a great deal of effort has been directed toward determining soil
erosion rates using various methods under a wide range of climatic conditions, soil types …
erosion rates using various methods under a wide range of climatic conditions, soil types …
The effect of erosion control practices on the vulnerability of soil degradation in Oued EL Malleh catchment using the USLE model integrated into GIS, Morocco
N Mazigh, A Taleb, A El Bilali, A Ballah - Trends in Sciences, 2022 - tis.wu.ac.th
Water erosion is a major problem in semi-arid region where decreases the dam reservoir
design capacity, agricultural yield productivity, and increases other environmental impacts …
design capacity, agricultural yield productivity, and increases other environmental impacts …
An integrated approach based on Gaussian noises-based data augmentation method and AdaBoost model to predict faecal coliforms in rivers with small dataset
AEL Bilali, A Taleb, MA Bahlaoui, Y Brouziyne - Journal of Hydrology, 2021 - Elsevier
Abstract Machine Learning (ML) techniques can be valuable for modelling the faecal
contamination in the rivers to overcome the limitations of the process-based models …
contamination in the rivers to overcome the limitations of the process-based models …
Reservoir prediction based on closed-loop CNN and virtual well-logging labels
Reservoir prediction is a significant issue in seismic interpretation, and it is difficult to reach a
tradeoff point for the reservoir prediction accuracy and spatial continuity. Nowadays, though …
tradeoff point for the reservoir prediction accuracy and spatial continuity. Nowadays, though …
Comparing four machine learning model performances in forecasting the alluvial aquifer level in a semi-arid region
A El Bilali, A Taleb, Y Brouziyne - Journal of African Earth Sciences, 2021 - Elsevier
Groundwater level fluctuation is a nonlinear and non-stationary system as it depends on
several factors in the time and space scales. Conceptual models require several physical …
several factors in the time and space scales. Conceptual models require several physical …
Early Forecasting Hydrological and Agricultural Droughts in the Bouregreg Basin Using a Machine Learning Approach
A Nafii, A Taleb, M El Mesbahi, MA Ezzaouini… - Water, 2022 - mdpi.com
Water supply for drinking and agricultural purposes in semi-arid regions is confronted with
severe drought risks, which impact socioeconomic development. However, early forecasting …
severe drought risks, which impact socioeconomic development. However, early forecasting …
Reservoir sediment management using artificial neural networks: A case study of the lower section of the Alpine Saalach River
Reservoir sedimentation is a critical issue worldwide, resulting in reduced storage volumes
and, thus, reservoir efficiency. Moreover, sedimentation can also increase the flood risk at …
and, thus, reservoir efficiency. Moreover, sedimentation can also increase the flood risk at …
Prediction research on sedimentation balance of Three Gorges Reservoir under new conditions of water and sediment
P Chen, J Deng, G Tan, J Lu, Z Jin, Y Zhou, C Shu… - Scientific Reports, 2021 - nature.com
Influenced by climate change and human activities, especially the completion and operation
of cascade reservoirs in the middle and lower reaches of Jinsha River since 2012, new …
of cascade reservoirs in the middle and lower reaches of Jinsha River since 2012, new …
A framework based on high-resolution imagery datasets and MCS for forecasting evaporation loss from small reservoirs in groundwater-based agriculture
A El Bilali, Y Taghi, O Briouel, A Taleb… - Agricultural Water …, 2022 - Elsevier
In arid and semi-arid regions, evaporation from small irrigation reservoirs can be a
significant source of water loss. Since groundwater is a major source of water supply for …
significant source of water loss. Since groundwater is a major source of water supply for …