Spatio-Temporal Dynamics of Groundwater Drought in the Cauvery Basin Under Variable Climatic Conditions

Groundwater drought is a critical issue in regions dependent on groundwater for water supply. This study investigates the spatio-temporal dynamics of groundwater drought in the Cauvery Basin using satellite- based groundwater storage data from NASA’s GIOVANNI platform. The Standardized Groundwater Drought Index (SGDI) is computed at a monthly grid scale over 21 years to assess groundwater depletion and classify drought severity. The SGDI is correlated with the Standardized Precipitation Index (SPI) to validate its reliability in capturing drought conditions. To examine the persistence of groundwater drought, the Hurst exponent (H) is applied, revealing long-term memory in drought patterns. Singular Spectrum Analysis (SSA) is then performed on sub-basin SGDI to identify long-term trends and the most severe drought years. Spatial mapping of SGDI highlights the distribution and severity of drought impacts across the basin. Furthermore, the influence of large- scale climate patterns El Niño-Southern Oscillation (ENSO), Southern Oscillation Index (SOI), and Indian Ocean Dipole (IOD) on groundwater drought is analysed using wavelet-based methods. This approach identifies the dominant teleconnection f actor driving drought variability in the region. The findings enhance drought monitoring capabilities and provide actionable insights for groundwater management and early warning systems in the Cauvery Basin.

Authors

Publication Details

Journal
International Journal Of Scientific Research In Engineering & Technology
Published
2025-07-14
DOI
https://doi.org/10.59256/ijsreat.20250504c04
Primary Topic
Hydrology and Watershed Management Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatio-Temporal Dynamics of Groundwater Drought in the Cauvery Basin Under Variable Climatic Conditions

T. M. Balakrishnan Nair, C V Aleena
International Journal Of Scientific Research In Engineering & Technology
Hydrology and Watershed Management Studies
article

Spatio-Temporal Dynamics of Groundwater Drought in the Cauvery Basin Under Variable Climatic Conditions

T. M. Balakrishnan Nair, C V Aleena
article en

Abstract

Groundwater drought is a critical issue in regions dependent on groundwater for water supply. This study investigates the spatio-temporal dynamics of groundwater drought in the Cauvery Basin using satellite- based groundwater storage data from NASA’s GIOVANNI platform. The Standardized Groundwater Drought Index (SGDI) is computed at a monthly grid scale over 21 years to assess groundwater depletion and classify drought severity. The SGDI is correlated with the Standardized Precipitation Index (SPI) to validate its reliability in capturing drought conditions. To examine the persistence of groundwater drought, the Hurst exponent (H) is applied, revealing long-term memory in drought patterns. Singular Spectrum Analysis (SSA) is then performed on sub-basin SGDI to identify long-term trends and the most severe drought years. Spatial mapping of SGDI highlights the distribution and severity of drought impacts across the basin. Furthermore, the influence of large- scale climate patterns El Niño-Southern Oscillation (ENSO), Southern Oscillation Index (SOI), and Indian Ocean Dipole (IOD) on groundwater drought is analysed using wavelet-based methods. This approach identifies the dominant teleconnection f actor driving drought variability in the region. The findings enhance drought monitoring capabilities and provide actionable insights for groundwater management and early warning systems in the Cauvery Basin.

International Journal Of Scientific Research In Engineering & Technology
Openalex Percentile: Top 82%
Hydrology and Watershed Management Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.