Groundwater Recharge Potential Zonation with 20 Hydrogeological Parameters

This dataset supports a study on groundwater recharge potential zonation mapping using a multi-criteria decision analysis framework. It is derived from 20 hydrogeological parameters, with four models evaluated using AUC-ROC analysis showing values from 0.804 to 0.887. The research was conducted by Sundarapandian Venkatesh and published in 2026.

Use Cases

• Compare the performance of standard deviation-weighted models (S-MOORA, S-TOPSIS) against relative weight methodologies (MOORA, TOPSIS) using the reported AUC-ROC values.
• Analyze the impact of removing highly correlated parameters (NDWI, TRI, NDBI, WRI) from the initial set of 24 parameters on the final GWRPZ maps.
• Validate the delineation of five recharge categories against the finding that approximately 79% of the research region falls within medium to very high recharge potential zones.
• Apply the multicollinearity analysis methodology to reduce a set of 24 initial parameters for other geospatial MCDA problems.

Strengths

• Model reliability is quantitatively assessed with AUC-ROC values for four distinct models, ranging from 0.804 to 0.887.
• The analysis is based on a structured reduction from 24 initial parameters to a final set of 20, following a documented multicollinearity analysis.
• The research directly addresses a key sustainable development goal (SDG 6: Clean Water and Sanitation).

Limitations

• The dataset is a 151.0 KB PDF, indicating it is a supplementary file likely containing summary results, not the raw tabular or geospatial data.
• The specific row count, column names, and sample data are unavailable, limiting direct analytical use.
• The geographic scope and temporal coverage of the underlying data are not specified.

Provenance

Source

Sundarapandian Venkatesh via figshare.

Collection Method

Parameters selected from literature, thematic maps prepared, and integrated into an MCDA framework.

Freshness

Last updated in March 2026.