Data for: Parameters Influence on the Water Quality of Rivers: A Modelling Based in Complex Network Theory

Published: 29-10-2020| Version 1 | DOI: 10.17632/44mgzgwtcw.1
Contributor:
Fernanda Gayer

Description

This data set refers to collections and laboratory analyses of Jaguari and Atibaia Rivers water samples, carried out from 2006 to 2017, by a research team. The collections took place at strategic points on the rivers, in a densely populated and industrialized place, therefore of great economic importance for the country. This data was created containing information from the evaluations of thirteen monitoring parameters: pH, dissolved oxygen, biochemical oxygen demand, total nitrogen, total phosphorus, turbidity, Escherichia coli quantity, total solids, temperature, chemical oxygen demand, electrical conductivity, chlorides, and precipitation. This data was used to study the influence of the parameters, handled to monitoring and classification of the rivers water quality, for the analysis of environmental impacts in these two important water resources in the interior of São Paulo State, based on the Complex Networks theory. The relationships among sampled parameters were analyzed applying Spearman correlations. The developed model sought to identify the most impacting variables on river pollution during the mentioned period, supported by the water quality index of the São Paulo State Environmental Company (CETESB). According to results, electrical conductivity and chlorides are the most influential network parameters in rivers pollution. Besides the correlation among parameters is greater when more polluted the rivers are.

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