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Transmissivity of Aquifer by Capture Zone Method: An Application in the Sete Lagoas Karst Aquifer, MG, Brazil

Overview of attention for article published in Anais da Academia Brasileira de Ciências, March 2017
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Title
Transmissivity of Aquifer by Capture Zone Method: An Application in the Sete Lagoas Karst Aquifer, MG, Brazil
Published in
Anais da Academia Brasileira de Ciências, March 2017
DOI 10.1590/0001-3765201720160420
Pubmed ID
Authors

PAULO GALVÃO, TODD HALIHAN, RICARDO HIRATA

Abstract

Transmissivity is an important hydraulic parameter to determine the amount of water passed horizontally across a given saturated thickness of an aquifer. The techniques to quantify this parameter, such as grain size analyses or pumping tests, can have limitations of time/spatial scale, viability, or economically. One technique that can be used, but little adopted, is the capture zone analysis. In this paper, capture zone analytical equations were used to estimate transmissivity values in order to verify the effectiveness of this methodology as alternative in situations where other traditional methods present implementation difficulties. The results were compared with field data estimated by aquifer tests conducted in the same region. A sensitivity analysis was also performed to identify possible discrepancies between the analytical and field data results. The aquifer studied was the Sete Lagoas Karst Aquifer in the urban region of the municipality of Sete Lagoas, Brazil. The method proved to be a viable and economical tool, where the analytical values compared to the aquifer tests showed similarities, being confirmed by a sensitivity analysis. However, a reliable potentiometric surface map, which enables the identification of the parameters for analytical capture zone equations, is needed.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 18%
Professor > Associate Professor 2 12%
Student > Master 2 12%
Lecturer 1 6%
Student > Doctoral Student 1 6%
Other 4 24%
Unknown 4 24%
Readers by discipline Count As %
Earth and Planetary Sciences 6 35%
Environmental Science 2 12%
Engineering 2 12%
Computer Science 1 6%
Chemistry 1 6%
Other 1 6%
Unknown 4 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 09 May 2017.
All research outputs
#23,320,957
of 25,988,468 outputs
Outputs from Anais da Academia Brasileira de Ciências
#197
of 217 outputs
Outputs of similar age
#288,737
of 327,827 outputs
Outputs of similar age from Anais da Academia Brasileira de Ciências
#1
of 1 outputs
Altmetric has tracked 25,988,468 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 217 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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