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Assessing Groundwater Depletion and Dynamics Using GRACE and InSAR: Potential and Limitations

Overview of attention for article published in Ground Water, August 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#24 of 559)
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

news
1 news outlet
twitter
6 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
126 Mendeley
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Title
Assessing Groundwater Depletion and Dynamics Using GRACE and InSAR: Potential and Limitations
Published in
Ground Water, August 2016
DOI 10.1111/gwat.12453
Pubmed ID
Authors

Pascal Castellazzi, Richard Martel, Devin L. Galloway, Laurent Longuevergne, Alfonso Rivera

Abstract

In the last decade, remote sensing of the temporal variation of ground level and gravity has improved our understanding of groundwater dynamics and storage. Mass changes are measured by GRACE (Gravity Recovery and Climate Experiment) satellites, whereas ground deformation is measured by processing synthetic aperture radar satellites data using the InSAR (Interferometry of Synthetic Aperture Radar) techniques. Both methods are complementary and offer different sensitivities to aquifer system processes. GRACE is sensitive to mass changes over large spatial scales (more than 100,000 km(2) ). As such, it fails in providing groundwater storage change estimates at local or regional scales relevant to most aquifer systems, and at which most groundwater management schemes are applied. However, InSAR measures ground displacement due to aquifer response to fluid-pressure changes. InSAR applications to groundwater depletion assessments are limited to aquifer systems susceptible to measurable deformation. Furthermore, the inversion of InSAR-derived displacement maps into volume of depleted groundwater storage (both reversible and largely irreversible) is confounded by vertical and horizontal variability of sediment compressibility. During the last decade, both techniques have shown increasing interest in the scientific community to complement available in situ observations where they are insufficient. In this review, we present the theoretical and conceptual bases of each method, and present idealized scenarios to highlight the potential benefits and challenges of combining these techniques to remotely assess groundwater storage changes and other aspects of the dynamics of aquifer systems.

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 <1%
Unknown 125 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 26%
Researcher 26 21%
Student > Master 15 12%
Student > Doctoral Student 6 5%
Student > Bachelor 6 5%
Other 21 17%
Unknown 19 15%
Readers by discipline Count As %
Earth and Planetary Sciences 56 44%
Environmental Science 18 14%
Engineering 13 10%
Computer Science 3 2%
Agricultural and Biological Sciences 3 2%
Other 3 2%
Unknown 30 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 October 2016.
All research outputs
#1,282,786
of 12,553,253 outputs
Outputs from Ground Water
#24
of 559 outputs
Outputs of similar age
#39,329
of 260,715 outputs
Outputs of similar age from Ground Water
#2
of 13 outputs
Altmetric has tracked 12,553,253 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 559 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 95% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 260,715 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.