Groundwater potential map:
Conducting an integrated study of geophysical, hydrological, and other datasets is crucial for mapping the depth of the water table and estimating groundwater yield. Here’s a succinct guide:
1. Data Compilation:
• Compile geophysical data (resistivity, conductivity), hydrological data (bore well logs, pumping test results), and relevant environmental datasets.
2. Geophysical Survey:
• Use geophysical methods such as electrical resistivity or electromagnetic surveys to collect subsurface data.
• Integrate geophysical logs to understand the lithological composition and resistivity variations.
3. Bore Well Logs Analysis:
• Analyze bore well logs for lithology, well construction details, and stratigraphic information.
• Identify water-bearing formations and assess their characteristics.
4. Pumping Tests:
• Conduct pumping tests, if needed on selected, bore wells to evaluate aquifer properties, including transmissivity and storativity.
• Analyze drawdown and recovery data for well yield estimation.
5. Hydrogeological Parameters Integration:
• Integrate data on aquifer properties, lithology, and well construction to create a comprehensive hydrogeological model.
6. GIS Mapping:
• Employ GIS tools to map geophysical and hydrogeological parameters spatially.
• Overlay these maps to identify areas with specific hydrogeological characteristics.
7. Water Table Mapping:
• Map the depth to the water table using data from bore well logs, geophysical surveys, and water level measurements.
• Identify areas with varying water table depths.
8. Yield Estimation:
• Combine aquifer properties, pumping test results, and water table depth to estimate groundwater yield potential.
• Delineate zones with higher yield capacity.
9. Optimization:
• Identify optimal locations for new bore wells based on the integrated study, considering both depth to water table and estimated yield.
10. Report and Recommendations:
• Summarize the findings in a comprehensive report, including maps, analyses, and recommendations for sustainable groundwater use.
By integrating geophysical, hydrological, and other relevant datasets, this study provides a holistic understanding of groundwater conditions, facilitating effective resource management and decision-making.