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Evaluation of water quality at the source of streams of the Sinos River Basin, southern Brazil

Overview of attention for article published in Brazilian Journal of Biology, May 2015
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Title
Evaluation of water quality at the source of streams of the Sinos River Basin, southern Brazil
Published in
Brazilian Journal of Biology, May 2015
DOI 10.1590/1519-6984.1513
Pubmed ID
Authors

T Benvenuti, MA Kieling-Rubio, CR Klauck, MAS Rodrigues

Abstract

<p>The Sinos River Basin (SRB) is located in the northeastern region of the state of Rio Grande do Sul (29º20' to 30º10'S and 50º15' to 51º20'W), southern Brazil, and covers two geomorphologic provinces: the southern plateau and the central depression. It is part of the Guaíba basin, has an area of approximately 800 km<sup>2</sup> and contains 32 counties. The basin provides drinking water for 1.6 million inhabitants in one of the most important industrial centres in Brazil. This study describes different water quality indices (WQI) used for the sub-basins of three important streams in the SRB: Pampa, Estância Velha/Portão and Schmidt streams. Physical, chemical and microbiological parameters assessed bimonthly using samples collected at each stream source were used to calculate the Horton Index (HI), the Dinius Index (DI) and the water quality index adopted by the US National Sanitation Foundation (NSF WQI) in the additive and multiplicative forms. These indices describe mean water quality levels at the streams sources. The results obtained for these 3 indexes showed a worrying scenario in which water quality has already been negatively affected at the sites where three important sub-basins in the Sinos River Basin begin to form.</p>.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Burkina Faso 1 2%
Italy 1 2%
Unknown 58 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 13%
Researcher 8 13%
Student > Bachelor 7 12%
Student > Ph. D. Student 7 12%
Other 3 5%
Other 4 7%
Unknown 23 38%
Readers by discipline Count As %
Environmental Science 11 18%
Engineering 7 12%
Agricultural and Biological Sciences 3 5%
Computer Science 3 5%
Medicine and Dentistry 2 3%
Other 7 12%
Unknown 27 45%