Journal
ENVIRONMENTAL MONITORING AND ASSESSMENT
Volume 190, Issue 12, Pages -Publisher
SPRINGER
DOI: 10.1007/s10661-018-7099-z
Keywords
Cluster analysis; Principal component analysis; Factorial analysis; Network monitoring assessment; Brazilian watershed
Categories
Funding
- National Counsel of Technological and Scientific Development (CNPq)
- Coordination for the Improvement of Higher Education Personnel (CAPES)
- Foundation of Support Research of the State of Minas Gerais (FAPEMIG)
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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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