Aquifer vulnerability assessment plays a vital role in identifying the areas/regions which are highly susceptible to groundwater contamination. The main intent of this study is to modify original DRASTIC and DRASTIC-P models by adding two exogenous factors [‘land use/land cover’ (LU) and ‘lineament density’ (LD)] which significantly influence groundwater contamination. The performances of original DRASTIC and DRASTIC-P (agricultural DRASTIC) models were compared with those of six modified forms of these models, viz., ‘DRASTIC-LD’, ‘DRASTIC-LU’, ‘DRASTIC-LDLU’, ‘DRASTIC-P-LD’, ‘DRASTIC-P-LU’ and ‘DRASTIC-P-LDLU’. The results of these models were validated with two scientifically sound and pragmatic approaches: (i) using the single water-quality parameter as a source of groundwater contamination (Approach I), and (ii) using multi-water quality parameters causing groundwater contamination (Approach II). Moreover, the sensitivity of these models was analyzed to identify most influential parameters in each case. The results revealed that irrespective of the models employed more than 50% of the study area falls under ‘High’ and ‘Very High’ vulnerability zones. The Approach I validation results indicated that the ‘DRASTIC-P-LDLU’ model performs the best with an accuracy of 61% and 68% with respect to nitrate and chloride concentrations, respectively, followed by the DRASTIC-LDLU model (respective accuracy = 59% and 61%). The results of model validation using Approach II also confirmed that among the eight models, the ‘Specific’ aquifer vulnerability predicted by the ‘DRASTIC-P-LDLU’ model (accuracy = 30%) is reasonably more accurate than DRASTIC-LDLU (accuracy = 29.7%) and DRASTIC-P-LU (accuracy = 29.6%) models. Hence, it is recommended to assess ‘Specific’ aquifer vulnerability instead of ‘Intrinsic’ aquifer vulnerability. The results of the model sensitivity analyses also indicated that ‘lineament density’ and ‘land use/land cover’ are the most significant parameters for vulnerability assessment. © 2018, Springer-Verlag GmbH Germany, part of Springer Nature.