Partial least squares integrated national water quality standards (NWQS) for indexing of water quality from industrial effluent

This study attempts to provide a better classification of water quality that is of accurate representation of the actual health of river water and is achieved by applying existing water quality evaluation method used in our country, namely DOE-WQI and average NWQS as well as a newly developed mode...

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Main Author:	Emmanuel, Freda
Format:	Thesis
Language:	English
Published:	2015
Subjects:	GE Environmental Sciences Q Science (General)
Online Access:	http://ir.unimas.my/id/eprint/9416/1/Freda%20Emmanuel%20ft.pdf
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id	my-unimas-ir.9416
record_format	uketd_dc
spelling	my-unimas-ir.94162023-05-16T04:15:29Z Partial least squares integrated national water quality standards (NWQS) for indexing of water quality from industrial effluent 2015 Emmanuel, Freda GE Environmental Sciences Q Science (General) This study attempts to provide a better classification of water quality that is of accurate representation of the actual health of river water and is achieved by applying existing water quality evaluation method used in our country, namely DOE-WQI and average NWQS as well as a newly developed model based on Partial Least Squares (PLS) regression and the guideline of NWQS, called PLS-WQI in the indexing process. Indexing with DOE-WQI equation method using six (6) pre-determined DOE-WQI parameters revealed that all stations falls under Class III with a slightly polluted status. PLS-WQI and average NWQS corresponds well with DOE-WQI method and it is also observed that average NWQS often provides better classification of water quality among all methods studied. Further indexing with PLS-WQI using the algorithm programmed in Matlab R2009b which allows for the consideration of only parameters that impart the greatest influence on water quality has resulted in a better presentation of the actual water quality at each station. PLS-WQI predicted Stations WS1 and WS2 to be of Class 3.66 with parameters pH, DO, BOD and COD at Station WS1 and pH, DO and COD at Station WS2. Meanwhile, Station WS3 is predicted to be of Class 4.45 when indexing was carried out with variables pH, DO, BOD, COD, TSS, AN, OG and Mn. Therefore, PLS-WQI is flexible and is thoroughly more sensitive compared to the other two (2) existing methods. University Malaysia Sarawak, UNIMAS 2015 Thesis http://ir.unimas.my/id/eprint/9416/ http://ir.unimas.my/id/eprint/9416/1/Freda%20Emmanuel%20ft.pdf text en validuser masters University Malaysia Sarawak, UNIMAS Faculty of Resource Science and Technology
institution	Universiti Malaysia Sarawak
collection	UNIMAS Institutional Repository
language	English
topic	GE Environmental Sciences Q Science (General)
spellingShingle	GE Environmental Sciences Q Science (General) Emmanuel, Freda Partial least squares integrated national water quality standards (NWQS) for indexing of water quality from industrial effluent
description	This study attempts to provide a better classification of water quality that is of accurate representation of the actual health of river water and is achieved by applying existing water quality evaluation method used in our country, namely DOE-WQI and average NWQS as well as a newly developed model based on Partial Least Squares (PLS) regression and the guideline of NWQS, called PLS-WQI in the indexing process. Indexing with DOE-WQI equation method using six (6) pre-determined DOE-WQI parameters revealed that all stations falls under Class III with a slightly polluted status. PLS-WQI and average NWQS corresponds well with DOE-WQI method and it is also observed that average NWQS often provides better classification of water quality among all methods studied. Further indexing with PLS-WQI using the algorithm programmed in Matlab R2009b which allows for the consideration of only parameters that impart the greatest influence on water quality has resulted in a better presentation of the actual water quality at each station. PLS-WQI predicted Stations WS1 and WS2 to be of Class 3.66 with parameters pH, DO, BOD and COD at Station WS1 and pH, DO and COD at Station WS2. Meanwhile, Station WS3 is predicted to be of Class 4.45 when indexing was carried out with variables pH, DO, BOD, COD, TSS, AN, OG and Mn. Therefore, PLS-WQI is flexible and is thoroughly more sensitive compared to the other two (2) existing methods.
format	Thesis
qualification_level	Master's degree
author	Emmanuel, Freda
author_facet	Emmanuel, Freda
author_sort	Emmanuel, Freda
title	Partial least squares integrated national water quality standards (NWQS) for indexing of water quality from industrial effluent
title_short	Partial least squares integrated national water quality standards (NWQS) for indexing of water quality from industrial effluent
title_full	Partial least squares integrated national water quality standards (NWQS) for indexing of water quality from industrial effluent
title_fullStr	Partial least squares integrated national water quality standards (NWQS) for indexing of water quality from industrial effluent
title_full_unstemmed	Partial least squares integrated national water quality standards (NWQS) for indexing of water quality from industrial effluent
title_sort	partial least squares integrated national water quality standards (nwqs) for indexing of water quality from industrial effluent
granting_institution	University Malaysia Sarawak, UNIMAS
granting_department	Faculty of Resource Science and Technology
publishDate	2015
url	http://ir.unimas.my/id/eprint/9416/1/Freda%20Emmanuel%20ft.pdf
_version_	1783728060086878208

Partial least squares integrated national water quality standards (NWQS) for indexing of water quality from industrial effluent

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