Abstract

The use of a large number of water quality indicators increases the costs of streamflow monitoring throughout the time. Principal Component Analysis (PCA) can be considered a promised tool for water resources management, allowing a reduction in the dimensionality of the data and facilitating their analyses. This study aimed to obtain a water quality index (WQI) to characterize the Mantiqueira Range region. Water quality indicators from a sub-basin entirely occupied by Atlantic Forest and from another predominantly occupied by pasture were normalized and used to compose the WQI. The normalized values were submitted to a PCA evaluation and the WQI was then calculated. The Indicators with greatest weight, according to the PCA, were total coliform, nitrate, fecal coliform, chemical oxygen demand and temperature. The Atlantic forest sub-basin presented the best WQI results, demonstrating the importance of the forested environment in the maintenance of water quality in springs of the Mantiqueira Range region.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.