Modeling assessment of groundwater vulnerability to contamination risk in a typical basement terrain using TOPSIS-entropy developed vulnerability data mining technique

This study involved a comparative analysis in the groundwater vulnerability domain, which is crucial component of management decision support systems (DSS). was achieved by creating models that covered range algorithms from subjective to data-driven. The conducted basement complex area. Databases climatic, remote sensing, and geophysical datasets were created using varieties data acquisition techniques. included this assessment were: rainfall (R), land use (LU), bedrock topography (BT), recharge rate (Re), slope (S). determined have highest (0.78) lowest (0.01) weighted factors, respectively, entropy method. For development TOPSIS-Entropy model algorithm, weights results combined with TOPSIS outranking To generate Groundwater Vulnerability Model map area, hybrid applied griddled raster layers factors. Also, Entropy-WLA also explored used maps. produced an accuracy 70%, while 50 47%, respectively. resulting maps validated correlation technique on longitudinal conductance TOPSIS-Entropy, followed object-oriented pattern, demonstrates greater has potential provide appropriate insights alternatives decision-making field hydrology area other regions world comparable geology.