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Groundwater Development Stress: Global-Scale Indices Compared to Regional Modeling.
William M Alley1, Brian R Clark2, David M Ely3
1National Ground Water Association, 601 Dempsey Road, Westerville, OH, 43081.
Ground Water
|August 16, 2017
Summary
Global assessments of groundwater stress using simple indices are improving with new data. Regional analyses offer a more detailed understanding of groundwater depletion, complementing global studies.
Area of Science:
- Hydrology
- Water Resource Management
- Environmental Science
Background:
- Global datasets and technologies like GRACE satellites enable global water availability assessments using water stress indices.
- These indices, initially for surface water, are increasingly applied to global groundwater resources.
- Existing global assessments may not fully capture regional complexities of groundwater use.
Purpose of the Study:
- To compare global groundwater development stress indices with regional water budget analyses.
- To evaluate the value of regional-scale analyses in supplementing global hydrological and GRACE data.
- To highlight the limitations of global indices in representing complex groundwater systems.
Main Methods:
- Comparison of groundwater development stress indices in three major US agricultural areas.
- Utilizing regional water budgets derived from detailed groundwater modeling.
- Analyzing scale effects, groundwater flow dynamics, agricultural system complexities, and socioeconomic factors.
Main Results:
- Regional-scale analyses provide a more nuanced understanding of groundwater stress than global indices alone.
- Groundwater modeling at the regional level better accounts for local factors influencing water use.
- Global indices can be enhanced by incorporating insights from regional assessments.
Conclusions:
- Regional-scale analyses are crucial for a comprehensive understanding of groundwater depletion.
- Integrating regional and global approaches will significantly improve knowledge of global groundwater issues.
- Future groundwater resource management should strategically combine both global and regional modeling efforts.
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