The main objective of this study was to quantitatively determine the contributions of various ground-water nitrate pollution sources including chemical fertilizers and animal wastes applied to croplands using the statistical approaches of PCA. In this respect, 240 wells water samples were collected from pre-existing wells, situated mainly in rural agricultural area. Sampling was performed in according with EPA Guide for Ground-Water Sampling. Dissolved cations including Ca, Mg, Na, K, Cr, Fe, and Mn, were analyzed using an iCAP™ Q ICP-MS. Dissolved anions (i.e. SO4 2, NO3 - and Cl-) were determined using Dionex ICS-3000 Ion Chromatography system. Alkalinity of groundwater samples was measured by titration method to quantify the carbonate species (mainly HCO3 -). A statistical analysis of quantitative source apportionment for the chemical investigated elements was performed. The chemical parameters were interpreted with Principal Component Analysis (PCA). Pearson correlation coefficient matrix was used to determine the linear dependence between the analyzed parameters. Schoeller diagram achieved with the RockWare AqQA program is presented for analyzed ions (SO4 2-, HCO3 , Cl-, Ca2+, Mg2+) behaviour interpretation. Acknowledgments: This work was supported by the Romanian-JINR project 64/2019, Assessment of air and soil quality using biomonitoring, neutron activation analysis and related analytical techniques (Research theme: 03-41128-2017/2019).