2019_Application of Environmetric Technique in Water Quality Assessment
| Format: | General Document |
|---|
| _version_ | 1860797981857415168 |
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| building | INTELEK Repository |
| collection | Online Access |
| collectionurl | https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection3 |
| copyright | Copyright©PWB2025 |
| country | Malaysia |
| date | 2019-10-14 14:34 |
| format | General Document |
| id | 15265 |
| institution | UniSZA |
| originalfilename | APPLICATION OF ENVIRONMETRIC TECHNIQUE IN WATER QUALITY ASSESSMENT |
| person | PDFsam Basic v4.2.10 Mohamad Romizan bin Osman |
| recordtype | oai_dc |
| resourceurl | https://intelek.unisza.edu.my/intelek/pages/view.php?ref=15265 |
| sourcemedia | Server storage Scanned document |
| spelling | 15265 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=15265 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection3 General Document Malaysia Library Staff (Top Management) Library Staff (Management) Library Staff (Support) Terengganu English UniSZA East Coast Environmental Research Institute application/pdf 1.5 PDFsam Basic v4.2.10 Chemometrics Server storage Scanned document UniSZA Private Access Universiti Sultan Zainal Abidin SAMBox 2.3.4; modified using iTextSharp™ 5.5.10 ©2000-2016 iText Group NV (AGPL-version) 2019-10-14 14:34 APPLICATION OF ENVIRONMETRIC TECHNIQUE IN WATER QUALITY ASSESSMENT 209 Copyright©PWB2025 Pollution—Measurement Multivariate analysis Environmental chemistry—Statistical methods Water quality—Mathematical models Water quality—Measurement Environmental monitoring—Statistical methods 2019_Application of Environmetric Technique in Water Quality Assessment Mohamad Romizan bin Osman Environmetric Technique Water Quality Assessment Hydrology—Statistical methods Water—Pollution—Analysis Geochemical modeling The rapid development of urbanization in the Kuantan area, business activities, bauxite stockpiling, sand mining, husbandry and agricultural activities around the river area have the potential to affect the quality of the water in Sungai Kuantan especially against increased heavy metal pollution. The Kuantan River was selected for this study as a continuous monitoring of the water quality due to the rapid and rapid economic developments or activities throughout the river as it is a tourist and water source for the local community. The objectives of this study are to determine the water quality based classification on the multiple of parameters in the surface water along the Kuantan River, identify the most significant parameters in discriminating the spatial pattern of water quality in the study area, and to classify the source apportionment of the water pollution in the area. This research is about the water quality assessment at 12 stations located along the Kuantan River. The parameters involved in this study are BOD, COD, DO, pH, TSS, TDS, AN, NN, EC, turbidity, salinity and heavy metal elements such as Pb, As, Al, Be, Cd, Co, Cd, Cr, Fe, Mg, Mn, Ni, Se, Ag, Sr, TI, V and Zn. All parameters involved were tested in-situ except COD and heavy metals which were tested in the laboratory and all the data obtained were analyzed through environmetric techniques such as principal component analysis (PCA), hierarchical agglomerative cluster analysis (HACA) and discriminant analysis (DA). There are four clusters configured at the Kuantan River after PCA and HACA exploited whereby S1, S2, S3, S4, S5 considered as clean area (CA), S6 and S7 as low polluted area (LPA), S8, S9 and S10 as medium polluted area (MPA), meanwhile S11 and S12 considered as a high polluted area (HPA). DA through the backward stepwise mode detected of significant parameters such as TDS, TSS, turbidity, COD, AN, EC, salinity, Al, As, Cd, Cr, Fe, Pb and Ag have high variability with 100% of data accuracy. The PCA rotated varimax especially on HPA explains strongly positive factor loading correlated with all parameters except Be. The exceed of heavy metal above the acceptable limit of NWQS such as Al may correlate with bauxite stockpiling activities and exist naturally in S7 area . Meanwhile, As may be caused by using of pesticide in the agricultural activities along with the river and painting activities in the automotive industry lead to the exceed of Ag and Zn. The WQI of Kuantan River has altered after a decade from clean to medium polluted and have the potential to be a highly polluted river in the future especially vulnerable to heavy metal pollution. The findings of this research have proven that the use of environmetric techniques for evaluating spatial variations in water quality assessment in Malaysia able to assist government agency such as the Department of Environment (DOE) to identify more thoroughly the sources of water pollution in the certain areas without losing crucial information and facilitate them to reduce direct and indirect cost of operation once the observation stations and parameters have been minimized. Dissertations, Academic Thesis |
| spellingShingle | 2019_Application of Environmetric Technique in Water Quality Assessment |
| state | Terengganu |
| subject | Chemometrics Pollution—Measurement Multivariate analysis Environmental chemistry—Statistical methods Water quality—Mathematical models Water quality—Measurement Environmental monitoring—Statistical methods Hydrology—Statistical methods Water—Pollution—Analysis Geochemical modeling Dissertations, Academic |
| summary | The rapid development of urbanization in the Kuantan area, business activities, bauxite stockpiling, sand mining, husbandry and agricultural activities around the river area have the potential to affect the quality of the water in Sungai Kuantan especially against increased heavy metal pollution. The Kuantan River was selected for this study as a continuous monitoring of the water quality due to the rapid and rapid economic developments or activities throughout the river as it is a tourist and water source for the local community. The objectives of this study are to determine the water quality based classification on the multiple of parameters in the surface water along the Kuantan River, identify the most significant parameters in discriminating the spatial pattern of water quality in the study area, and to classify the source apportionment of the water pollution in the area. This research is about the water quality assessment at 12 stations located along the Kuantan River. The parameters involved in this study are BOD, COD, DO, pH, TSS, TDS, AN, NN, EC, turbidity, salinity and heavy metal elements such as Pb, As, Al, Be, Cd, Co, Cd, Cr, Fe, Mg, Mn, Ni, Se, Ag, Sr, TI, V and Zn. All parameters involved were tested in-situ except COD and heavy metals which were tested in the laboratory and all the data obtained were analyzed through environmetric techniques such as principal component analysis (PCA), hierarchical agglomerative cluster analysis (HACA) and discriminant analysis (DA). There are four clusters configured at the Kuantan River after PCA and HACA exploited whereby S1, S2, S3, S4, S5 considered as clean area (CA), S6 and S7 as low polluted area (LPA), S8, S9 and S10 as medium polluted area (MPA), meanwhile S11 and S12 considered as a high polluted area (HPA). DA through the backward stepwise mode detected of significant parameters such as TDS, TSS, turbidity, COD, AN, EC, salinity, Al, As, Cd, Cr, Fe, Pb and Ag have high variability with 100% of data accuracy. The PCA rotated varimax especially on HPA explains strongly positive factor loading correlated with all parameters except Be. The exceed of heavy metal above the acceptable limit of NWQS such as Al may correlate with bauxite stockpiling activities and exist naturally in S7 area . Meanwhile, As may be caused by using of pesticide in the agricultural activities along with the river and painting activities in the automotive industry lead to the exceed of Ag and Zn. The WQI of Kuantan River has altered after a decade from clean to medium polluted and have the potential to be a highly polluted river in the future especially vulnerable to heavy metal pollution. The findings of this research have proven that the use of environmetric techniques for evaluating spatial variations in water quality assessment in Malaysia able to assist government agency such as the Department of Environment (DOE) to identify more thoroughly the sources of water pollution in the certain areas without losing crucial information and facilitate them to reduce direct and indirect cost of operation once the observation stations and parameters have been minimized. |
| title | 2019_Application of Environmetric Technique in Water Quality Assessment |
| title_full | 2019_Application of Environmetric Technique in Water Quality Assessment |
| title_fullStr | 2019_Application of Environmetric Technique in Water Quality Assessment |
| title_full_unstemmed | 2019_Application of Environmetric Technique in Water Quality Assessment |
| title_short | 2019_Application of Environmetric Technique in Water Quality Assessment |
| title_sort | 2019_application of environmetric technique in water quality assessment |