Abstract
Groundwater level measurements from 3907 monitoring wells, distributed within 22 major river basins of India, are assessed to characterize their spatial and temporal variability. Groundwater storage (GWS) anomalies (relative to the long-term mean) exhibit strong seasonality, with annual maxima observed during the monsoon season and minima during pre-monsoon season. Spatial variability of GWS anomalies increases with the extent of measurements, following the power law relationship, i.e., log-(spatial variability) is linearly dependent on log-(spatial extent). In addition, the impact of well spacing on spatial variability and the power law relationship is investigated. We found that the mean GWS anomaly sampled at a 0.25 degree grid scale closes to unweighted average over all wells. The absolute error corresponding to each basin grows with increasing scale, i.e., from 0.25 degree to 1 degree. It was observed that small changes in extent could create very large changes in spatial variability at large grid scales. Spatial variability of GWS anomaly has been found to vary with climatic conditions. To our knowledge, this is the first study of the effects of well spacing on groundwater spatial variability. The results may be useful for interpreting large scale groundwater variations from unevenly spaced or sparse groundwater well observations or for siting and prioritizing wells in a network for groundwater management. The output of this study could be used to maintain a cost effective groundwater monitoring network in the study region and the approach can also be used in other parts of the globe.
Original language | English |
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Pages (from-to) | 428-437 |
Number of pages | 10 |
Journal | Journal of Hydrology |
Volume | 544 |
DOIs | |
State | Published - Jan 1 2017 |
Externally published | Yes |
Funding
SNB ackn owledges CSIR (Government of India) for their support through SPM fellowship. SNB also acknowledges U.S. Department of State for the Fulbright fellowship. This manuscript uses open-source data of the Central Ground Water Board (CGWB), Ministry of Water Resources, River Development and Ganga Rejuvenation, Government of India. Dr. Saha acknowledge the support provided by the Chairman, CGWB, during the study. The opinion expressed in the paper is of author’s own and not of the affiliated Department. We acknowledge P. Malakar and C. Nirmale, for their help with groundwater level data retrievals. Tropical Rainfall Measuring Mission (TRMM) (2011), TRMM (TMPA/3B43) Rainfall Estimate L3 1 month 0.25 degree × 0.25 degree V7, version, Greenbelt, MD, Goddard Earth Sciences Data and Information Services Center (GES DISC), Accessed on 20th November, 2015. SNB thanks Dr. S. Verma for her advice.
Funders | Funder number |
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SPM | |
U.S. Department of State for the Fulbright |
Keywords
- Groundwater
- Groundwater monitoring network design
- Groundwater spatial variability
- India