Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Abdallah Elaaraj"'
Publikováno v:
Ecological Engineering & Environmental Technology, Vol 25, Iss 2, Pp 54-69 (2024)
The Saka region and its environs are situated in the northeastern part of Morocco. This study aims To optimize automated lineament extraction based on the comparing of Landsat-8 optical satellite data with Sentinel-2B for enhanced analysis. The resea
Externí odkaz:
https://doaj.org/article/11a2478d71854c078a08a286f79ef465
Autor:
Yassine El Yousfi, Mahjoub Himi, Mourad Aqnouy, Said Benyoussef, Hicham Gueddari, Imane Lamine, Hossain El Ouarghi, Amar Alali, Hanane Ait Hmeid, Mohamed Chahban, Abdennabi Alitane, Abdallah Elaaraj, Kamal Abdelrahman, Tamer Abu-Alam, Ali Ait Boughrous, Azzeddine Khafouri, Mohamed Abioui
Publikováno v:
International Journal of Environmental Research and Public Health; Volume 20; Issue 6; Pages: 4992
Groundwater resources of the alluvial aquifer Ghiss Nekkor, which covers an area of 100 km2, are the main source of domestic and agricultural freshwater supply in the region of Al Hoceima in Morocco. Due to human activities (overexploitation, increas
Autor:
Abdallah Elaaraj, Ali Lhachmi, Hassan Tabyaoui, Abdennabi Alitane, Antonietta Varasano, Sliman Hitouri, Yassine El Yousfi, Meriame Mohajane, Narjisse Essahlaoui, Hicham Gueddari, Quoc Bao Pham, Fatine Mobarik, Ali Essahlaoui
Publikováno v:
Sustainability; Volume 14; Issue 22; Pages: 15349
Together with geological survey data, satellite imagery provides useful information for geological mapping. In this context, the aim of this study is to map geological units of the Saka region, situated in the northeast part of Morocco based on Lands
Autor:
Yassine El Yousfi, Mahjoub Himi, Hossain El Ouarghi, Mourad Aqnouy, Said Benyoussef, Hicham Gueddari, Hanane Ait Hmeid, Abdennabi Alitane, Mohamed Chaibi, Muhammad Zahid, Narjisse Essahlaoui, Sliman Hitouri, Ali Essahlaoui, Abdallah Elaaraj
Publikováno v:
Sustainability; Volume 15; Issue 1; Pages: 402
Water quality index (WQI) is the primary method applied to characterize water quality in the world. The current study employed the statistical analysis and multilayer perceptron (MLP) approaches for predicting groundwater quality in the Ghiss-Nekkor