Assessment of water quality using environmetric techniques at Johor River

In this study, the spatial water parameters of Johor River from 2003–2007 were analyzed by using environmetric techniques namely the hierarchical agglomerative cluster analysis (HACA), discriminant analysis (DA) and principle component analysis (PCA). These methods were used to determine the spatial...

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Bibliographic Details
Main Authors: Md Dali, Faradiah, Juahir, Hafizan, Aris, Ahmad Zaharin, Toriman, Mohd Ekhwan, Lim, Ai Phing, Looi, Ley Juen, Syed Sagoff, Syed Badruz-Zaman, Mohd Kusin, Faradiella
Format: Conference or Workshop Item
Language:English
Published: Springer 2013
Online Access:http://psasir.upm.edu.my/id/eprint/55774/1/Assessment%20of%20water%20quality%20using%20environmetric%20techniques%20at%20Johor%20River.pdf
Description
Summary:In this study, the spatial water parameters of Johor River from 2003–2007 were analyzed by using environmetric techniques namely the hierarchical agglomerative cluster analysis (HACA), discriminant analysis (DA) and principle component analysis (PCA). These methods were used to determine the spatial variations and sources of pollutants in Johor River. There were 23 water parameters selected namely DO, BOD, COD, SS, pH, NH3-NL, temperature, conductivity, salinity, turbidity, DS, TS, NO3, Cl, PO4, Zn, Ca, Fe, K, Mg, Na, E-coli and coliform. The HACA has grouped the water monitoring stations along the Johor River into three clusters; (1) the stations with low pollution sources (LPS), (2) moderate pollution sources (MPS) and (3) high pollution sources (HPS). Stations are classified into three clusters based on the similarity of each variable poses towards each other. Ten water parameters were being discriminated by conducting forward stepwise DA out of the 23 water quality variables. PCA were then conducted to identify the pollutant sources from the landuse of the area. Eight principle components (PCs) were obtained with 79 % variation of LPS region. Five PCs were obtained from MPS with the total variation of 84 % of the MPS region. The HPS has the most number of PCs which are nine PCs with a total variation of 83 % of its region. For the MPS and HPS, the pollutants were introduced by human activities such as discharge of chemicals, industrial wastewater, agricultural activities and urban development activities.