Literature DB >> 27037698

Water Quality Index (WQI) of Jaguari and Atibaia Rivers in the region of Paulínia, São Paulo, Brazil.

Marcio Antonio Gomes Ramos1, Eduardo Schneider Bueno de Oliveira2, Antonio Carlos Simões Pião3, Dilza Aparecida Nalin de Oliveira Leite4, Dejanira de Franceschi de Angelis4.   

Abstract

Due to the concern with the quality of hydric resources, the monitoring is essential to evaluate and identify the anthropogenic and environmental interferences in a quantitative and qualitative level. In order to assist the interpretation of the water status of hydric bodies, the gathering of analytical data often considers the Water Quality Index (WQI). This index transforms technical information in description of the water quality status, highlighting the effectiveness of its use and guiding the decision-making process when necessary. The aim of this research is to assess the water quality of a region in São Paulo State, Brazil, by means of the WQI of Jaguari and Atibaia Rivers. The period of intense drought, which affected the Brazilian southeast in 2014, was evaluated and compared to the mean values recorded from October 2009 to March 2015, correlating the values of Escherichia coli and the biochemical oxygen demand (BOD). One hundred nine samples were collected, being 53 from dry seasons, between October and March, and 56 from rainy seasons, between April and September. The WQIs in Jaguari and Atibaia Rivers, during dry season, were of 42.2 (medium) and 36.7 (bad), respectively. The same pattern was registered for the dry season, for both rivers, with indices values of 40.1 for Jaguari River (medium) and 34.9 for Atibaia River (bad). This research presented the need of an effective evaluation of the environmental quality and preservation by competent organs for both rivers. Due to the detected conditions, special attention should be given to the Atibaia River.

Entities:  

Keywords:  Atibaia River; Biochemical oxygen demand; Escherichia coli; Jaguari River; Water quality index

Mesh:

Substances:

Year:  2016        PMID: 27037698     DOI: 10.1007/s10661-016-5261-z

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  6 in total

1.  Assessing water quality at large geographic scales: relations among land use, water physicochemistry, riparian condition, and fish community structure.

Authors:  Michael R Meador; Robert M Goldstein
Journal:  Environ Manage       Date:  2003-04       Impact factor: 3.266

2.  Application of water quality indices and dissolved oxygen as indicators for river water classification and urban impact assessment.

Authors:  Prakash Raj Kannel; Seockheon Lee; Young-Soo Lee; Sushil Raj Kanel; Siddhi Pratap Khan
Journal:  Environ Monit Assess       Date:  2007-02-06       Impact factor: 2.513

3.  Systematic processes of land use/land cover change to identify relevant driving forces: implications on water quality.

Authors:  Zara Teixeira; Heliana Teixeira; João C Marques
Journal:  Sci Total Environ       Date:  2013-12-06       Impact factor: 7.963

4.  ENVIRONMENTAL AUDITING: Assessing Biotic Integrity of Streams: Effects of Scale in Measuring the Influence of Land Use/Cover and Habitat Structure on Fish and Macroinvertebrates.

Authors: 
Journal:  Environ Manage       Date:  1999-02       Impact factor: 3.266

5.  Application of multivariate statistical methods and water-quality index to evaluation of water quality in the Kashkan River.

Authors:  Abazar Mostafaei
Journal:  Environ Manage       Date:  2014-02-08       Impact factor: 3.266

6.  Comparative analysis of regional water quality in Canada using the Water Quality Index.

Authors:  Simone de Rosemond; Dennis C Duro; Monique Dubé
Journal:  Environ Monit Assess       Date:  2008-08-22       Impact factor: 2.513

  6 in total
  1 in total

1.  Spatiotemporal variation evaluation of water quality in middle and lower Han River, China.

Authors:  Lele Deng; Kebing Chen; Zhangjun Liu; Boyang Wu; Zekun Chen; Shaokun He
Journal:  Sci Rep       Date:  2022-08-19       Impact factor: 4.996

  1 in total

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