The water quality needs to be monitored at regular intervals, throughout
representatively located gauging stations, for sustainable development of water
resources. However, it is not possible to monitor all quality parameters all
the time and points for a river basin studied, and water quality monitoring
that does not address specific, clear and realistic objectives will cause time,
labor and money losses. At this point, Principal Component Analysis (PCA) would
provide a regional insight into principal pollutants, contaminants dominates
others and effective monitoring locations. It will help to evaluate surface
water quality in regional scale as well as monitoring network. This study aims
to analyze regional water quality and monitoring network in the Gediz River
Basin, by focusing on the variance structure of the observations on principal
pollutants that observed throughout the river basin. The 11 quality parameters
monitored in 13 monitoring stations on the Gediz River Basin were used in the
analyses. PCA is applied i) to determine principal pollutants and contaminants
dominate over others (parameter-based analysis), ii) to find out effective
monitoring locations for principal pollutants (station based analysis). The
results reveal the tributaries of the river with different quality
characteristics, and the importance of an objective based monitoring for
effective water quality management.
Primary Language | English |
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Subjects | Engineering |
Journal Section | Articles |
Authors | |
Publication Date | March 30, 2018 |
Published in Issue | Year 2018 |