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Estimation of aquifer vulnerability to groundwater pollution using an entropy-based model: a case study from the Musi river sub-basins, Southern India.

Chandrapuri S, Mondal NC, Giridhar MVSS.

CURRENT SCIENCE

https://doi.org/10.18520/cs/v130/i2/152-161 CURRENT SCIENCE 

An entropy-based model has quantified aquifer vulnerability to groundwater pollution in the Musi river sub-basins of Telangana, Southern India using the decadal rainfall (RF), groundwater levels (GWL), and Total Dissolved Solids (TDS) measurements. The estimated natural groundwater recharge averages about 15% of monsoon rainfall (in Fig.a). High salinity and aquifer vulnerability are mainly identified in the Paleru, Muchkunda, Shamirpet and Ibrahimpatnam sub-basins (in Fig.b). Strong links among RF, GWL, and TDS indicate hydrochemical controls, supporting improved groundwater management in the Musi river basin.

Fig. (a) Monsoonal groundwater recharge (%) derived from rainfall, and (b) entropy-based model interaction among RF, GWL, and TDS depicting aquifer vulnerability across the Musi river sub-basins, Telangana state.

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