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Assessment of water quality using environmetric techniques at Johor River


Citation

Md Dali, Faradiah and Juahir, Hafizan and Aris, Ahmad Zaharin and Toriman, Mohd Ekhwan and Lim, Ai Phing and Looi, Ley Juen and Syed Sagoff, Syed Badruz-Zaman and Mohd Kusin, Faradiella (2013) Assessment of water quality using environmetric techniques at Johor River. In: International Conference on Environmental Forensics 2013, 11-14 Nov. 2013, Marriot Hotel, Putrajaya, Malaysia. (pp. 403-407).

Abstract

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.


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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Environmental Studies
DOI Number: https://doi.org/10.1007/978-981-4560-70-2_73
Publisher: Springer
Keywords: Environmentric; Cluster analysis; Discriminant analysis; Principal component analysis; Heavy metals
Depositing User: Nabilah Mustapa
Date Deposited: 07 Jun 2017 08:53
Last Modified: 07 Jun 2017 08:53
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1007/978-981-4560-70-2_73
URI: http://psasir.upm.edu.my/id/eprint/55774
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