Islam, Mir Sujaul and Hossain, Mohamed Amjed and Nasly, Mohamed Ali (2013) Multivariate Statistical Techniques to Identify the Source of Pollution and Assessment of Surface Water Quality. International Journal of Ecology and Environmental Sciences, 39 (3). pp. 187-193. ISSN 2320-5199. (Published)
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Abstract
Principal component analysis (CPA) and multiple liner regression (MLR) analysis was applied on the data for 14 physico-chemical parameters of surface waters from Tunggak River adjacent to the Gebeng Industrial Estate, Pahang, Malaysia during February 2012 – January 2013 with the objective of identifying sources of pollution and their contribution to the variation in water quality. Physico-chemical parameters were determined for a period of 12 months by following standard methods of analysis. Results reveled that most of the parameters including BOD, COD, conductivity, NH4-N and phosphorus were in concentrations greater than the national standard of Malaysia. PCA was applied to identify the source and MLR analysis was done to determine their contribution. PCA yielded five VFs; which extracted 74.72% of total variance that established its validation. Results showed that, surface water quality was strongly influenced by ionic groups of salts, soil erosion and agricultural runoff, organic and nutrient pollutions from domestic wastewater, industrial sewage and wastewater treatment plants. Vicinity of industrial parks resulted in low DO concentration all over the basin. MLR showed the contribution of every variable to be highly significant (p<0.01).
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Principal Component Analysis, Varimax Rotation, Multiple Linear Regression, Dissolved Oxygen, Anthropogenic Activities, Industrial Effluents |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) T Technology > TD Environmental technology. Sanitary engineering |
| Faculty/Division: | Faculty of Civil Engineering & Earth Resources |
| Depositing User: | Dr. Mir Sujaul Islam |
| Date Deposited: | 01 Mar 2016 03:21 |
| Last Modified: | 28 Sep 2018 02:37 |
| URI: | http://umpir.ump.edu.my/id/eprint/11998 |
| Download Statistic: | View Download Statistics |
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