Zobrazeno 1 - 10
of 194
pro vyhledávání: '"El Hmaidi A"'
Impact of Nitrogen Fertilization on Soil Nitrate Concentrations in an Onion Field in the Saiss Basin
Publikováno v:
E3S Web of Conferences, Vol 489, p 08001 (2024)
High nitrogen (N) fertilizer rates can result in excessive nitrate (NO3-N) in soils and groundwater. The Saiss basin is an agricultural area in Morocco, where substantial increases in nonpoint source pollution from excessive N fertilization is common
Externí odkaz:
https://doaj.org/article/a813d571e6b344498b52abe6bdce0903
Publikováno v:
HydroResearch, Vol 8, Iss , Pp 223-236 (2025)
Groundwater has been facing not only prolonged climate change-induced groundwater shortage but also severe deterioration of groundwater quality from natural and/or anthropogenic sources. This study aims to determine the hydrogeochemical processes con
Externí odkaz:
https://doaj.org/article/7e7881c115d44a558b75dc489bc77a89
Autor:
El Abassi, Mourad, Ousmana, Habiba, Saouita, Jihane, El-Hmaidi, Abdellah, Iallamen, Zineb, Jaddi, Hajar, Aouragh, My Hachem, Boufala, M'hamed, Kasse, Zahra, El Ouali, Anas, Abdallaoui, Abdelaziz
Publikováno v:
In Heliyon 15 October 2024 10(19)
Publikováno v:
In HydroResearch 2025 8:223-236
Autor:
Ragragui, Hind, Aouragh, My Hachem, El-Hmaidi, Abdellah, Ouali, Lamya, Saouita, Jihane, Iallamen, Zineb, Ousmana, Habiba, Jaddi, Hajar, El Ouali, Anas
Publikováno v:
In Groundwater for Sustainable Development August 2024 26
Autor:
El Ouali, Anas, Roubil, Allal, Lahrach, Abderrahim, El Hmaidi, Abdellah, El Ouali, Abdelhadi, Ousmana, Habiba, Bouchaou, Lhoussaine
Publikováno v:
In Groundwater for Sustainable Development May 2024 25
Autor:
Aouragh, My Hachem, Ijlil, Safae, Essahlaoui, Narjisse, Essahlaoui, Ali, El Hmaidi, Abdellah, El Ouali, Abdelhadi, Mridekh, Abdelaziz
Publikováno v:
In Remote Sensing Applications: Society and Environment April 2023 30
Publikováno v:
Earth Science Informatics; Oct2024, Vol. 17 Issue 5, p4197-4212, 16p
Publikováno v:
International Journal of Renewable Energy Development, Vol 11, Iss 1, Pp 309-323 (2022)
Prediction of daily global solar radiation with simple and highly accurate models would be beneficial for solar energy conversion systems. In this paper, we proposed a hybrid machine learning methodology integrating two feature selection methods and
Externí odkaz:
https://doaj.org/article/1f063ccafaa7419eb3e3e5f26fc0c0b5
Publikováno v:
In Journal of African Earth Sciences November 2021 183