Abstract
Groundwater plays an indispensable role in sustaining agricultural production, domestic needs, and industrial development, particularly in water-stressed regions like India. However, over-extraction, unregulated development, and climate variability have placed aquifer systems under significant stress, necessitating scientifically informed approaches to groundwater assessment and management. This chapter presents a comprehensive exploration of groundwater modeling and its application in aquifer recharge planning and sustainable resource governance. It introduces the physical principles underlying subsurface flow, including Darcy’s law and numerical solutions for three-dimensional groundwater systems. A wide range of modeling tools—such as MODFLOW, MIKE SHE, FEFLOW, and Visual MODFLOW—are discussed in the context of both flow and solute transport simulation. A practical case study from Chhattisgarh illustrates the calibration and application of Visual MODFLOW for a multilayered aquifer, assessing recharge potential and evaluating the effects of artificial recharge structures. The chapter also examines advancements in machine learning, remote sensing, and IoT-based monitoring systems that support data-driven water management. Emphasis is placed on integrated strategies combining recharge techniques, efficient irrigation, land use planning, and community participation. By bridging classical hydrogeology with modern modeling tools, the chapter highlights pathways to improve groundwater sustainability and resilience in the face of increasing anthropogenic and climatic pressures.

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