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Using Diurnal Temperature Signals to Infer Vertical Groundwater‐Surface Water Exchange

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

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

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1 policy source
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7 X users

Citations

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73 Dimensions

Readers on

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123 Mendeley
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Title
Using Diurnal Temperature Signals to Infer Vertical Groundwater‐Surface Water Exchange
Published in
Ground Water, October 2016
DOI 10.1111/gwat.12459
Pubmed ID
Authors

Dylan J. Irvine, Martin A. Briggs, Laura K. Lautz, Ryan P. Gordon, Jeffrey M. McKenzie, Ian Cartwright

Abstract

Heat is a powerful tracer to quantify fluid exchange between surface water and groundwater. Temperature time series can be used to estimate pore water fluid flux, and techniques can be employed to extend these estimates to produce detailed plan-view flux maps. Key advantages of heat tracing include cost-effective sensors and ease of data collection and interpretation, without the need for expensive and time-consuming laboratory analyses or induced tracers. While the collection of temperature data in saturated sediments is relatively straightforward, several factors influence the reliability of flux estimates that are based on time series analysis (diurnal signals) of recorded temperatures. Sensor resolution and deployment are particularly important in obtaining robust flux estimates in upwelling conditions. Also, processing temperature time series data involves a sequence of complex steps, including filtering temperature signals, selection of appropriate thermal parameters, and selection of the optimal analytical solution for modeling. This review provides a synthesis of heat tracing using diurnal temperature oscillations, including details on optimal sensor selection and deployment, data processing, model parameterization, and an overview of computing tools available. Recent advances in diurnal temperature methods also provide the opportunity to determine local saturated thermal diffusivity, which can improve the accuracy of fluid flux modeling and sensor spacing, which is related to streambed scour and deposition. These parameters can also be used to determine the reliability of flux estimates from the use of heat as a tracer.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Chile 1 <1%
Belgium 1 <1%
Unknown 120 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 28%
Student > Master 23 19%
Student > Bachelor 11 9%
Researcher 9 7%
Professor > Associate Professor 6 5%
Other 18 15%
Unknown 21 17%
Readers by discipline Count As %
Earth and Planetary Sciences 40 33%
Environmental Science 28 23%
Engineering 17 14%
Agricultural and Biological Sciences 3 2%
Biochemistry, Genetics and Molecular Biology 1 <1%
Other 4 3%
Unknown 30 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 01 August 2023.
All research outputs
#4,541,402
of 25,247,084 outputs
Outputs from Ground Water
#85
of 892 outputs
Outputs of similar age
#69,284
of 329,182 outputs
Outputs of similar age from Ground Water
#4
of 13 outputs
Altmetric has tracked 25,247,084 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 892 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 90% 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 329,182 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 78% 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 76% of its contemporaries.