Dataset

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

Water Quality, Rivers and ChannelsBrazilMendeley Data

Dataset Objective

To study the influence of water parameters on Jaguari and Atibaia rivers water quality in Brazil.

Context

Data was collected from the period between 2006 to 2017. 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

What is included

This dataset contains 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.

Collection Methods

Laboratory analysis - 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