Title
Application of Multivariate Statistical Methods and Water Quality Index for the Evaluation of Surface Water Quality in the Cunas River Basin, Peru
Date Issued
01 January 2021
Access level
metadata only access
Resource Type
journal article
Publisher(s)
IOS Press BV
Abstract
Watershed management requires information that allows the intervention of possible sources that affect aquatic systems. Surface water quality in the Cunas river basin (Peru) was evaluated using multivariate statistical methods and the CCME-WQI water quality index. Twenty-seven sampling sites were established in the Cunas River and nine sites in the tributary river. Water samples were collected in two contrasting climatic seasons and the CCME-WQI was determined based on physicochemical and bacteriological parameters. The PCA generated three PC with a cumulative explained variation of 78.28 %. The generalised linear model showed strong significant positive relationships (p < 0.001) of E. coli with Fe, nitrate, Cu and TDS, and a strong significant negative relationship (p < 0.001) with pH. Overall, the CCME-WQI showed the water bodies in the upper reaches of the Cunas River as good water quality (87.07), in the middle reaches as favourable water quality (67.65) and in the lower reaches as poor water quality (34.86). In the tributary, the CCME-WQI showed the water bodies as having good water quality (82.34).
Start page
19
End page
27
Volume
18
Issue
4
Language
English
OCDE Knowledge area
Geociencias, Multidisciplinar
Scopus EID
2-s2.0-85119958348
Source
Asian Journal of Water, Environment and Pollution
ISSN of the container
0972-9860
Sponsor(s)
This work was funded by CONCY TEC-FONDECY T under the call E041–01 [contract number 76–2018-FONDECYT-BM-IADT-MU].
Sources of information: Directorio de Producción Científica Scopus