Groundwater resources are under increasing pressure globally, threatened by overextraction, contamination, climate variability, and competing demands. Ensuring sustainable use requires a robust understanding of subsurface architecture, flow and transport dynamics, and geochemical processes at resource-relevant scales. Yet in many regions, especially in the Global South, groundwater systems remain poorly characterized due to sparse data and limited monitoring infrastructure. This gap hampers the development of data-driven strategies for managing groundwater quantity and quality.
Advances in hydrogeological methods are enabling a shift from fragmented, qualitative assessments to integrated, quantitative approaches that directly support groundwater management. This session invites contributions that advance such integrated measurement and modeling approaches to improve actionable groundwater resource assessments, including field-scale studies, numerical modeling, and applications in data-scarce regions.
We particularly welcome studies from, or relevant to, the Global South that:
- Integrate hydrogeophysical, hydrological, and geochemical observations
- Apply joint or coupled modeling frameworks, data assimilation, and uncertainty analysis.
- Demonstrate innovative strategies for groundwater monitoring and management in data-scarce regions (e.g., sensor networks).
- Showcase interdisciplinary collaborations linking observations and models to inform sustainable and climate-resilient groundwater use