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Updated: Feb 2, 2026

Continuous Hydrologic and Water Quality Monitoring of Vernal Ponds
Published on: November 13, 2017
Using multivariate techniques as a strategy to guide optimization projects for the surface water quality network
Giovanna Moura Calazans1, Carolina Cristiane Pinto1, Elizângela Pinheiro da Costa1
1Universidade Federal de Minas Gerais - Escola de Engenharia - Campus Pampulha, Av. Antônio Carlos, 6627 - Bloco 1 - sala 4525, Belo Horizonte, MG, 31.270-901, Brazil.
Abstract:
Surface water quality monitoring networks are usually deployed and rarely re-evaluated with regard to their effectiveness. In this sense, this work sought to evaluate and to guide optimization projects for the water quality monitoring network of the Velhas river basin, using multivariate statistical methods. The cluster, principal components, and factorial analyses, associated with non-parametric tests and the analysis of violation to the standards set recommended by legislation, identified the most relevant water quality parameters and monitoring sites, and evaluated the sampling frequency. Thermotolerant coliforms, total arsenic, and total phosphorus were considered the most relevant parameters for characterization of water quality in the river basin. The monitoring sites BV156, BV141, BV142, BV150, BV137, and BV153 were considered priorities for maintenance of the network. The multivariate statistical analysis showed the importance of a monthly sampling frequency, specifically the parameters considered most important.
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