Open AccessUSE OF GEOSTATISTICAL MODELS IN THE SPACE-TEMPORAL EVALUATION OF WATER QUALITY OF AN AMAZONIAN HYDROELECTRIC RESERVOIR
Author(s) -
Thiago de Melo e Silva,
Simone de Fátima Pinheiro Pereira,
Kellen Heloizy Garcia Freitas,
Pedro Moreira de Sousa,
Cléber Silva e Silva,
Davis Castro dos Santos,
Rossineide Martins da Rocha,
Alan Marcel Fernandes de Souza,
Daniel Pinheiro Nogueira
Publication year - 2021
Publication title -
international journal of research - granthaalayah
Language(s) - English
Resource type - Journals
eISSN - 2394-3629
pISSN - 2350-0530
DOI - 10.29121/granthaalayah.v9.i10.2021.4308
Subject(s) - environmental science , hydroelectricity , hydrology (agriculture) , water quality , hydropower , amazon rainforest , ecosystem , sampling (signal processing) , surface water , amazonian , aquatic ecosystem , environmental engineering , ecology , geology , oceanography , geotechnical engineering , filter (signal processing) , computer science , computer vision , biology
The Tucuruí Hydro-Power Complex reservoir, Pará State, Amazon Region-Brazil, as well as other reservoirs is subject to natural alterations and anthropogenic activities which in turn affect the environmental balance. The aim of this work was to verify if geostatistical models can be used in the spatial-temporal evaluation of water quality in reservoirs. The Surfer 13® software was used to interpolate the spatial distribution of data, in two years of surface water physicochemical parameters were evaluated in sixteen sampling stations. The results of the isotopic maps showed low concentrations of DO at station C1 in the Intermediate Period 2 (summer-winter), high concentration of COD at station MP in the Intermediate Period 1 (winter-summer) and increased acidity at stations C1 and C2 in summer, suggesting that the relationship between the Tucuruí Hydro-Power Complex and farming activities in the region cause impacts on the aquatic ecosystem along the reservoir.