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Shallow aquifer response to climate change scenarios in a small catchment in the Guarani Aquifer outcrop zone

Overview of attention for article published in Anais da Academia Brasileira de Ciências, May 2017
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Title
Shallow aquifer response to climate change scenarios in a small catchment in the Guarani Aquifer outcrop zone
Published in
Anais da Academia Brasileira de Ciências, May 2017
DOI 10.1590/0001-3765201720160264
Pubmed ID
Authors

Davi C D Melo, Edson Wendland

Abstract

Water availability restrictions are already a reality in several countries. This issue is likely to worsen due to climate change, predicted for the upcoming decades. This study aims to estimate the impacts of climate change on groundwater system in the Guarani Aquifer outcrop zone. Global Climate Models (GCM) outputs were used as inputs to a water balance model, which produced recharge estimates for the groundwater model. Recharge was estimated across different land use types considering a control period from 2004 to 2014, and a future period from 2081 to 2099. Major changes in monthly rainfall means are expected to take place in dry seasons. Most of the analysed scenarios predict increase of more than 2 ºC in monthly mean temperatures. Comparing the control and future runs, our results showed a mean recharge change among scenarios that ranged from ~-80 to ~+60%, depending on the land use type. As a result of such decrease in recharge rates, the response given by the groundwater model indicates a lowering of the water table under most scenarios.

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Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 17%
Other 5 14%
Researcher 5 14%
Student > Ph. D. Student 4 11%
Professor 3 9%
Other 4 11%
Unknown 8 23%
Readers by discipline Count As %
Environmental Science 9 26%
Engineering 7 20%
Social Sciences 2 6%
Earth and Planetary Sciences 2 6%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 2 6%
Unknown 12 34%