Three decades of depth-dependent groundwater response to climate variability and human regime in the transboundary Indus-Ganges-Brahmaputra-Meghna mega river basin aquifers

Pragnaditya Malakar, Abhijit Mukherjee, Soumendra N. Bhanja, Auroop R. Ganguly, Ranjan Kumar Ray, Anwar Zahid, Sudeshna Sarkar, Dipankar Saha, Siddhartha Chattopadhyay

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32 Scopus citations

Abstract

Groundwater plays a major role in human adaptation and ecological sustainability against climate variability by providing global water and food security. In the Indus-Ganges-Brahmaputra-Meghna aquifers (IGBM), groundwater abstraction has been reported to be one of the primary contributors to groundwater storage variability. However, there is still a lack of understanding on the relative influence of climate and abstraction on groundwater. Data-guided statistical studies are reported to be crucial in understanding the human-natural complex system. Here, we attributed the long-term (1985–2015) impact of local-precipitation, global-climate cycles, and human influence on multi-depth groundwater levels (n=6753) in the IGBM using lag correlation analysis, wavelet coherence analysis, and regression-based dominance analysis. Our findings highlight the variable patterns of phase lags observed between multi-depth groundwater levels and precipitation depending on the different nature of climatic and anthropogenic drivers in different parts of the basin. We observed intuitive responses, i.e., rapid response in shallow groundwater and relatively delayed responses to the global climate patterns with increasing depth. However, in the most exploited areas, the hydrological processes governing the groundwater recharge are overwhelmed by unsustainable groundwater abstraction, thus decoupling the hydro-climatic continuum. Our results also suggest groundwater abstraction to be the dominant influence in most of the basin, particularly at the greater depth of the aquifer, thus highlighting the importance of understanding multi-depth groundwater dynamics for future groundwater management and policy interventions.

Original languageEnglish
Article number103856
JournalAdvances in Water Resources
Volume149
DOIs
StatePublished - Mar 2021
Externally publishedYes

Funding

We acknowledge AGI Project (IIT/SRIC/ GG&CSE/AGI/2013‐14/201) from Ministry of Human Resource Development (MHRD), Govt. of India. We also acknowledge the National Oceanic and Atmospheric Administration (NOAA), Central Ground Water Board (Ministry of Water Resources, Government of India), and Bangladesh Water Development Board (Government of Bangladesh) for the availability of Climate Indices data, water level measurement data for India and Bangladesh, respectively. We also acknowledge precipitation data provided by the Indian Meteorological Department (IMD) and Climatic Research Unit (CRU TS v-4.01). The authors acknowledge the use of the Matlab (version 2018b), Eviews software (version 9), RStudio software (Version 1.2.5001), and Ferret (http://ferret.pmel.noaa.gov/Ferret/. Pacific Marine Environmental Laboratory, NOAA) program for analysis. The authors also acknowledge ArcGIS software (version 10.2.1), Origin software (version 2015) for some of the graphics in this paper. The authors are very much thankful to Palash Debnath for his valuable suggestions. Special thanks to Srimanti Dutta Gupta, Kousik Das at IIT Kharagpur for help with data analyses.

Keywords

  • Anthropogenic influences
  • Climate variability
  • Data-guided methods
  • Multi-depth groundwater level
  • Transboundary Indus-Ganges-Brahmaputra-Meghna basin

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