Výsledky vyhledávání - "Abdeslam Taleb"

Akademický článek

Elaboration of an innovative plant biomaterial for its valorization in the treatment of wastewater

Autor: El Mokhtar Saoudi Hassani, Imane Mehdaoui, Dounia Azzouni, Rachid Mahmoud, Abdeslam Taleb, Gezahign Fentahun Wondmie, Ahmad Mohammad Salamatullah, Mohammed Bourhia, Samir Ibenmoussa, Mustapha Taleb, Zakia Rais

Publikováno v: Bioresources and Bioprocessing, Vol 11, Iss 1, Pp 1-11 (2024)

Abstract The global scientific community is deeply concerned about the deterioration of water quality resulting from the release of industrial effluents. This issue is of utmost importance as it serves to safeguard the environment and combat water po

Externí odkaz: https://doaj.org/article/ce6429c415df41fe93ea85982571a43c

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Akademický článek

Assessment of Groundwater Quality in the Berrechid Aquifer, Central Morocco, Using Multivariate Statistics and Water Quality Indices

Autor: Mohammed Moukhliss, Abdeslam Taleb, Abdessalam Ouallali, Velibor Spalevic, Nouhaila Mazigh, Badr El Fathi, Salah Souabi

Publikováno v: Ecological Engineering & Environmental Technology, Vol 24, Iss 4, Pp 187-199 (2023)

Groundwater salinity is a serious problem for water quality in the irrigated parts of arid and semi-arid regions, especially in the aquifers of Berrechid, Morocco. This study used a variety of techniques, including the Water Quality Index (WQI) and W

Externí odkaz: https://doaj.org/article/8bef2d45cfae4e1ab76dc3b0214623f0

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Akademický článek

An approach based on multivariate distribution and Gaussian copulas to predict groundwater quality using DNN models in a data scarce environment

Autor: Ayoub Nafii, Houda Lamane, Abdeslam Taleb, Ali El Bilali

Publikováno v: MethodsX, Vol 10, Iss , Pp 102034- (2023)

Machine Learning models have become a fruitful tool in water resources modelling. However, it requires a significant amount of datasets for training and validation, which poses challenges in the analysis of data scarce environments, particularly for

Externí odkaz: https://doaj.org/article/0a62beb22f974116bcf3a821e43796ae

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Akademický článek

Prediction of irrigation water quality parameters using machine learning models in a semi-arid environment

Autor: Ali El Bilali, Abdeslam Taleb

Publikováno v: Journal of the Saudi Society of Agricultural Sciences, Vol 19, Iss 7, Pp 439-451 (2020)

Evaluation of the water suitability for irrigation purposes using conventional approaches is generally expensive because it requires several parameters, particularly in developing countries. Therefore, developing accurate and reliable models may be v

Externí odkaz: https://doaj.org/article/ec0f4d1600934232a1f8d1b1f5d30ee8

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Akademický článek

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

Autor: Ayoub Nafii, Abdeslam Taleb, Mourad El Mesbahi, Mohamed Abdellah Ezzaouini, Ali El Bilali

Publikováno v: Water, Vol 15, Iss 1, p 122 (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

Externí odkaz: https://doaj.org/article/c38285e674804831a37c1194dd461d76

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