EGU26-21112, updated on 14 Mar 2026
https://doi.org/10.5194/egusphere-egu26-21112
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
PICO | Monday, 04 May, 11:18–11:20 (CEST)
 
PICO spot 2, PICO2.15
Understanding Pumping Dynamics in Granitic Hard Rock Aquifers Using Integrated Flow Metering and Camera-Based Monitoring
Lakshmikantha N r, Aditya Vikram Jain, Ananya Jain, Karan Misquitta, Vivek Grewal, and Veena Srinivasan
Lakshmikantha N r et al.
  • IFMR, WELL Labs, India (lakshmikanthanrl@gmail.com)

Granitic hard rock aquifers dominate much of semi-arid peninsular India and are characterized by highly heterogeneous, fracture-controlled flow systems with limited storage. In these settings, conventional indicators such as static water levels and standard well drawdown equations provide poor insight into actual aquifer stress and pumping sustainability. This study presents an integrated hydrological monitoring approach that combines flow meters, borewell camera scans, and continuous camera-based observations to directly understand aquifer behaviour under pumping. We deploy non-invasive flow measurement to quantify real-time abstraction, alongside step-drawdown tests and downhole camera surveys to identify active fracture zones, their depth-wise contribution to yield, and their dynamic response during sustained pumping. Continuous camera scans during pumping cycles enable direct visualization of drawdown, fracture inflows, and the rapid transition from borehole storage to fracture-limited supply, revealing why prolonged pumping from deeper depths often leads to high energy use with marginal water gains. By linking pumping rates, energy consumption, and observed subsurface flow processes, the study demonstrates how mismatches between pump capacity and fracture-controlled yields drive inefficiency and accelerated aquifer stress. The results highlight the value of image-based and sensor-driven monitoring for developing context-specific indicators of groundwater stress and for identifying optimal pumping regimes in hard rock aquifers. This integrated methodology offers a scalable pathway to improve hydrological understanding, support adaptive groundwater management, and inform incentive-based interventions aimed at conserving both water and energy in data-scarce, remote settings.

How to cite: N r, L., Vikram Jain, A., Jain, A., Misquitta, K., Grewal, V., and Srinivasan, V.: Understanding Pumping Dynamics in Granitic Hard Rock Aquifers Using Integrated Flow Metering and Camera-Based Monitoring, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21112, https://doi.org/10.5194/egusphere-egu26-21112, 2026.