Integration of Geochemical Modeling, Multivariate Analysis, and Irrigation Indices for Assessing Groundwater Quality in the Al-Jawf Basin, Yemen

Water quality monitoring is crucial in managing water resources and ensuring their safety for human use environmental health. In the Al-Jawf Basin, we conducted a study on Quaternary aquifer, where various techniques were utilized to evaluate, simulate, predict groundwater (GWQ) irrigation. These include indices (IWQIs), geochemical modeling, multivariate statistical analysis, geographic information systems (GIS), adaptive neuro-fuzzy inference (ANFIS). Physicochemical analysis was collected samples determine composition. The results showed that order of abundance ions Ca2+ > Mg2+ Na+ K+ SO42− Cl− HCO3− NO3−. assessment irrigation based such as Irrigation index (IWQI), sodium adsorption ratio(SAR), percent (Na%), soluble percentage (SSP), potential salinity (PS), residual carbonate RSC, which revealed moderate-to-severe restrictions some samples. Adaptive Neuro-Fuzzy Inference System (ANFIS) model then used IWQIs with high accuracy during both training testing phases. Overall, these findings provide valuable decision-makers management can aid sustainable development resources.