Combined Modeling of Multivariate Analysis and Geostatistics in Assessing Groundwater Irrigation Sustenance in the Middle Cheliff Plain (North Africa)

The assessment of groundwater irrigation using robust tools is essential for the sustenance agro-environment in arid and semi-arid regions. This study presents a reliable method consisting combination multivariate analysis geostatistical modeling to assess resources Western Middle Cheliff (Algeria). For this goal, mean data from 87 wells collected during April July 2017 were used. hierarchical cluster (HCA) Q-mode approach revealed three distinct water types, with mineralization increasing 1 3. Principal Component Analysis (PCA) utilizing Varimax allowed extraction main components: first second (PC1, PC2), revealing that geogenic process, have influenced hydrogeochemical composition groundwater. pollution induced by agriculture activities has been related PC3. Based on modeling, distribution maps created interpolating factor values acquired region ordinary kriging (OK) interpolation method. findings both natural processes man-made substantial impact quality irrigation. Cluster mapping, another often used combining approach, shown its effectiveness assisting resource management.