Open AccessUSE OF ARTIFICIAL NEURAL NETWORKS AND MULTIVARIATE STATISTICAL ANALYSIS FOR MODELING THE POLLUTION PRESSURE OF WATER RESOURCES IN THE SEYBOUSE VALLEY (NORTH-EASTERN ALGERIA)
Author(s) -
Aissam Ghrieb,
Fethi Bâali,
Chemceddine Fehdi,
Azzedine Hani,
Hicham Chaffai,
Larbi Djabri
Publication year - 2021
Publication title -
food and environment safety
Language(s) - English
Resource type - Journals
eISSN - 2559-6381
pISSN - 2068-6609
DOI - 10.4316/fens.2021.009
Subject(s) - pollution , environmental science , water quality , water resources , wastewater , point source pollution , water resource management , dpsir , groundwater , water pollution , environmental engineering , hydrology (agriculture) , environmental resource management , nonpoint source pollution , engineering , ecology , geotechnical engineering , biology , chemistry , environmental chemistry