The study area under discussion is located in semi-arid climate zone of India with average annual rainfall of 500 mm. As mentioned earlier, the area is situated in Nalgonda district, Andhra Pradesh, lying between latitude 160 30’ and 170 45’ N and longitude 780 45’ and 800 E. There are several irrigation and development projects implemented in the district to uplift and sustain the declining groundwater status. In general the groundwater abstraction is on the higher side with about 55556 bore wells and about 109380 dug wells existing in the district. The study area comprising ~2 sq.km. is located at a distance of about 75 km East South East (ESE) of Hyderabad city, India. The agricultural sector in the study area mainly depends on groundwater resource for cultivation. The study area forms the part of Krishna river catchment and is characterized by rugged terrain with hills and plains [6]. The drainage pattern of the area is of parallel to sub-parallel in the western part and sub-dendritic to dendritic in nature in the eastern part as seen in.
Author(s) Details:
Rolland Andrade
Central Water & Power Research Station, Pune-24, India.
Recent global research developments in Enhancing Groundwater Mapping: Factor Analysis of VES Data in Granite Watersheds
“Modeling of Geophysical Derived Parameters for Groundwater Potential Zonation”:
Abstract: This study focused on groundwater potential prediction in a typical hard rock geologic terrain in southwestern Nigeria. The researchers used 96 vertical electrical sounding (VES) data points to create geoelectric sections, revealing subsurface layers. They synthesized groundwater potential conditioning factors (GPCFs) such as regolith, bedrock relief, hydraulic head, aquifer resistivity, and thickness. Applying the Analytical Hierarchy Process (AHP), they established a groundwater potential prediction index (GPPI) model. The resulting GPPI map classified the area into low, medium, medium-high, and high groundwater potential classes [1].
“Enhancing Groundwater Vulnerability Assessment”:
Abstract: Although not directly related to granite watersheds, this study aimed to enhance groundwater vulnerability assessment (GWVA) by incorporating new layers (e.g., land use) and adjusting parameter rates based on sensitivity analysis. The results showed improved correlation between produced groundwater vulnerability models (GVMs) and measured nitrate concentrations [2].
References
- Bayode, S., Mogaji, K.A. & Egbeyemi, O. Modeling of geophysical derived parameters for groundwater potential zonation using GIS-based multi-criteria conceptual model. Appl Water Sci 14, 19 (2024). https://doi.org/10.1007/s13201-023-02056-4 https://link.springer.com/article/10.1007/s13201-023-02056-4
- Abduljaleel, Y., Amiri, M., Amen, E.M. et al. Enhancing groundwater vulnerability assessment for improved environmental management: addressing a critical environmental concern. Environ Sci Pollut Res 31, 19185–19205 (2024). https://doi.org/10.1007/s11356-024-32305-1