Wout M van Dijk
Spatial variation of groundwater response to multiple drivers in a depleting alluvial aquifer system, northwestern India
van Dijk, Wout M; Densmore, Alexander L; Jackson, Christopher R; Mackay, Jonathan D; Joshi, Suneel K; Sinha, Rajiv; Shekhar, Shashank; Gupta, Sanjeev
Authors
Professor Alexander Densmore a.l.densmore@durham.ac.uk
Professor
Christopher R Jackson
Jonathan D Mackay
Suneel K Joshi
Rajiv Sinha
Shashank Shekhar
Sanjeev Gupta
Abstract
Unsustainable exploitation of groundwater in northwestern India has led to extreme but spatially variable depletion of the alluvial aquifer system in the region. Mitigation and management of groundwater resources require an understanding of the drivers behind the pattern and magnitude of groundwater depletion, but a regional perspective on these drivers has been lacking. The objectives of this study are to (1) understand the extent to which the observed pattern of groundwater level change can be explained by the drivers of precipitation, potential evapotranspiration, abstraction, and canal irrigation, and (2) understand how the impacts of these drivers may vary depending on the underlying geological heterogeneity of the system. We used a transfer function-noise (TFN) time series approach to quantify the effect of the various driver components in the period 1974–2010, based on predefined impulse response functions (θ). The dynamic response to abstraction, summarized by the zeroth moment of the response M0, is spatially variable but is generally large across the proximal and middle parts of the study area, particularly where abstraction is high but alluvial aquifer bodies are less abundant. In contrast, the precipitation response is rapid and fairly uniform across the study area. At larger distances from the Himalayan front, observed groundwater level rise can be explained predominantly by canal irrigation. We conclude that the geological heterogeneity of the aquifer system, which is imposed by the geomorphic setting, affects the response of the aquifer system to the imposed drivers. This heterogeneity thus provides a useful framework that can guide mitigation efforts; for example, efforts to decrease abstraction rates should be focused on areas with thinner and less abundant aquifer bodies.
Citation
van Dijk, W. M., Densmore, A. L., Jackson, C. R., Mackay, J. D., Joshi, S. K., Sinha, R., Shekhar, S., & Gupta, S. (2020). Spatial variation of groundwater response to multiple drivers in a depleting alluvial aquifer system, northwestern India. Progress in Physical Geography, 44(1), 94-119. https://doi.org/10.1177/0309133319871941
Journal Article Type | Article |
---|---|
Online Publication Date | Sep 2, 2019 |
Publication Date | Feb 1, 2020 |
Deposit Date | Sep 3, 2019 |
Publicly Available Date | Sep 3, 2019 |
Journal | Progress in Physical Geography |
Print ISSN | 0309-1333 |
Electronic ISSN | 1477-0296 |
Publisher | SAGE Publications |
Peer Reviewed | Peer Reviewed |
Volume | 44 |
Issue | 1 |
Pages | 94-119 |
DOI | https://doi.org/10.1177/0309133319871941 |
Public URL | https://durham-repository.worktribe.com/output/1293908 |
Files
Published Journal Article
(3.9 Mb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
Published Journal Article (Advance online version)
(3.9 Mb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
Copyright Statement
Advance online version This article is distributed under the terms of the Creative Commons Attribution 4.0 License (http://www.creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
You might also like
Earthquake science in DRR policy and practice in Nepal
(2016)
Preprint / Working Paper
Hydrological control of river and seawater lithium isotopes
(2022)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search