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Chemometrics Applied in the Development of a Water Quality Indicator System for the Brazilian Amazon
Author(s) -
Hemilton Cardoso da Costa,
Simone de Fátima Pinheiro Pereira,
Luciana Pinheiro Santos,
Augusto Fernando Souza de Oliveira,
Thiago de Melo e Silva,
Cléber Silva e Silva,
Ronaldo Magno Rocha,
Kellen Heloizy Garcia Freitas,
Davis Castro dos Santos,
Erivan Sousa Cruz
Publication year - 2020
Publication title -
acs omega
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.779
H-Index - 40
ISSN - 2470-1343
DOI - 10.1021/acsomega.0c03430
Subject(s) - amazon rainforest , water quality , chemometrics , hydroelectricity , environmental science , computer science , engineering , machine learning , ecology , electrical engineering , biology
The objective of this work was to develop a method to calculate the water quality index (WQI) using chemometric methods. The study was carried out at the Curuá-Una hydroelectric power plant in the state of Pará in the Brazilian Amazon. Eight collection stations in four periods (winter, intermediate I, summer, and intermediate II) and 29 parameters were selected. Multivariate analysis was applied to the results to verify the quality of the data and to select the most sensitive variables to be used as indicators for the WQI calculation. The 10 parameters selected were E h , dissolved oxygen, total dissolved solids, chlorophyll a , phosphate, Ba, Ca, Fe, Na, and Sn. The WQI proposed herein was effective in the classification of water quality for the periods analyzed.

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