Evaluation of various water quality indices for indexing river water
Water resources are of critical importance to both natural ecosystem and human development. The quality of water in any ecosystem provides significant information about the available resources for supporting life in that ecosystem. A good water quality is important for a healthy river and ecosyste...
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Format: | Thesis |
Language: | English |
Published: |
2014
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Subjects: | |
Online Access: | http://ir.unimas.my/id/eprint/9414/1/Choo%20Chee%20Yuan%20ft.pdf |
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Summary: | Water resources are of critical importance to both natural ecosystem and human development. The quality of water
in any ecosystem provides significant information about the available resources for supporting life in that
ecosystem. A good water quality is important for a healthy river and ecosystem. In order to determine the status of
the river water, various water quality parameters are measured to determine whether it is safe for any purpose. The
water quality parameters can be divided into physical, chemical and biological. Most of the physiochemical and
microbiological parameters were measured and classified based on the National Water Quality Standard (NWQS)
and Water Quality Index (WQI) to evaluate the status of river water quality. In this study, three water quality
monitoring approaches was used to evaluate the Waterfront and Satok Bridge river water which are Water Quality
Index (WQI), average National Water Quality Standards (NWQS) and Partial Least Square Water Quality Index
(PLS-WQI). PLS-WQI is designated based on Partial Least Square Regression that can consider expand or restrict
parameters simultaneously instead of the conventional univariate manner according to NWQS. Besides, PLS-WQI
is a set of computationally generated training sets that can be used to predict the water quality of unknown samples.
In this study, the river water quality was categorized as Class II-Class III under WQI which is moderate to good
water quality with index ranged from 75 to 86. The PLS-WQI was more sensitive than average NWQS because it
took into account the entire value for each parameter and not only interpreted the class which each parameter value
fell on it. PLS-WQI is a method that can consider multiple parameters simultaneously. Therefore, when the
turbidity parameter was added, it showed that PLS-WQI with 7 parameters was more sensitive than the PLS-WQI
with 6 parameters because PLS-WQI took the absolute value of the parameter into account to determine the classes
of the water quality. Therefore, PLS-WQI should be encourage to be used in the evaluation of river water quality
status in Malaysia to meet with the specific problems. |
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