USE OF ARTIFICIAL NEURAL NETWORKS AND MULTIVARIATE STATISTICAL ANALYSIS FOR MODELING THE POLLUTION PRESSURE OF WATER RESOURCES IN THE SEYBOUSE VALLEY (NORTH-EASTERN ALGERIA)

The water supply environment in Seybouse Valley (North East of Algeria) is sensitive and fragile as the aquifer is highly vulnerable to various sources of pollution, must recognize the pollution sources and water quality integration. So, there is a need for a better knowledge and understanding of th...

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Bibliographic Details
Main Authors: Aissam GHRIEB, Fethi BAALI, Chemceddine FEHDI, Azzedine HANI, Hicham CHAFFAI, Larbi DJABRI
Format: Article
Language:English
Published: Stefan cel Mare University of Suceava 2021-03-01
Series:Food and Environment Safety
Subjects:
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Online Access:http://fens.usv.ro/index.php/FENS/article/view/772/688