Groundwater is an indispensable resource for human survival and economic development worldwide, particularly in regions where surface water is unavailable, during droughts, in water-scarce areas, and in isolated areas. To date, advanced models have been recognized as crucial tools for the sustainable development and management of aquifer systems. Applying these models is essential for thoroughly assessing groundwater system conditions and providing actionable recommendations to achieve sustainable development goals (SDGs) while significantly reducing the uncertainties and challenges faced by researchers. Advanced methodologies, such as managed aquifer recharge (MAR), life cycle assessment (LCA), remote sensing (RS), and geographic information system (GIS), have been extensively utilized to evaluate hydrological characteristics, geological factors, and groundwater conditions. These tools generate valuable insights by ensuring accurate findings and enabling substantial discussions on the integrity of the modeling process, including data transparency and accessibility to achieve accurate outcomes. This study addresses existing knowledge gaps and widespread shortcomings in the application of advanced models for groundwater management. Specifically, it focuses on the use of MAR, LCA, RS, and GIS for the development and management of aquifer systems. By addressing these gaps, the study aims to enhance awareness of the importance of safeguarding groundwater resources and to propose more effective strategies for the sustainable management and development of aquifer systems.