Assessment of Water Quality Using Environmetric Techniques at Johor River View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2014

AUTHORS

Faradiah Md. Dali , Hafizan Juahir , Ahmad Zaharin Aris , Mohd Ekhwan Toriman , Ai Phing Lim , Ley Juen Looi , Syed Badruz-Zaman Syed Sagoff , Faradiella Mohd Kusin

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. More... »

PAGES

403-407

References to SciGraph publications

Book

TITLE

From Sources to Solution

ISBN

978-981-4560-69-6
978-981-4560-70-2

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-981-4560-70-2_73

DOI

http://dx.doi.org/10.1007/978-981-4560-70-2_73

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1044554695


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