L and are appropriate groundwater exploitation sites in varied topographic places. Around the aquiclude, the map exhibits a staggered distribution of high and pretty high groundwater prospective zones mixed with moderate and low groundwater possible zones as a consequence of water-blocking faults. These water-blocking faults separate the aquifer as well as the aquiclude, thus enriching the karst groundwater inside the aquifer; having said that, the carbonate and clastic rocks are interbedded in the aquiclude, without the need of the karst being effectively AS-0141 supplier created. As a consequence of this house of water-blocking faults, the aquiclude can be a crucial indicator for obtaining karst aquifers despite its low groundwater potential. The groundwater recharge inside the study location originates from both rainfall and surface water. Correspondingly, the western region, exhibiting notably higher rainfall, has additional zones with higher and incredibly higher groundwater prospective than the eastern region. In addition, higher and very higher groundwater possible zones are concentrated inside the vicinity of Anchang River, Subao River, and Tongkou River inside the southeast. These zones are situated in valleys with low slopes and concave topography, which market groundwater convergence. The valleys adjacent to these rivers are typically river floodplains and terraces with water-rich loose aquifers. In addition, faults strongly influence groundwater in varied topographic places. Substantial karst groundwater with extremely high groundwater prospective develops along the faults. The properties of faults also have an effect on groundwater distribution, because the aquifers differ markedly in groundwater possible when a water-blocking fault is created. The results show that the integration of a moderate volume of multi-source information employing the AHP strategy can reasonably assess varied topographic areas with complex geological backgrounds. The flexibility of this approach makes it possible for us to modify the weights in the things and their logical nature is generic, so we can apply precisely the same method in other regions with appropriate modifications. The system could possibly be made use of for varied topographic regions with comparable geological backgrounds, in which geological and topographic factors might be dominant and aspects established on high-precision hydrological data could be assigned higher weights. Having said that, the technique still has some limitations. The AHP is actually a knowledge-driven AB928 In Vitro course of action and for that reason may inhibit some errors in its prediction [52]. Moreover, the nine factors are still inadequate for groundwater evaluation, regardless of the assimilation with the spring index. Some aspects not adopted by the study, such as LULC, aquifer thickness, depth to groundwater, hydraulic conductivity, and soil type, all have important effects on groundwater prospective. In addition, the accuracy with the rainfall information applied within the study was not higher. Within the future, the GWP is usually enhanced using extra high-precision data and thinking of all these variables. 5. Conclusions In this study, a GIS-based process utilizing AHP was adopted to identify groundwater prospective zones in the central varied topographic region of Mianyang City. Topographic factors (slope, convergence index, and drainage density), geological factors (rock and fault density), groundwater recharge components (rainfall and distance from rivers), and EVI had been established based on the earlier literature. Taking into consideration the complex geographical background of theRemote Sens. 2021, 13,15 ofstudy location, the spring index was established by assimilating the spring data, the addition of which proficiently i.