International Journal of Advanced and Applied Sciences

Int. j. adv. appl. sci.

EISSN: 2313-3724

Print ISSN: 2313-626X

Volume 4, Issue 8  (August 2017), Pages:  84-97

Title: River water quality assessment using APCS-MLR and statistical process control in Johor River Basin, Malaysia

Author(s):  Mohd Saiful Samsudin 1, Azman Azid 1, 2, *, Saiful Iskandar Khalit 1, 2, Ahmad Shakir Mohd Saudi 3, Muhammad Amar Zaudi 4


1Faculty of Bioresources and Food Industry, Universiti Sultan Zainal Abidin, Besut Campus, 22200 Besut, Terengganu, Malaysia
2UniSZA Science and Medicine Foundation Centre, Universiti Sultan Zainal Abidin, Gong Badak Campus, 21300 Kuala Nerus, Terengganu, Malaysia
3Institute of Medical Science and Technology, University of Kuala Lumpur, 43600 Kajang, Selangor, Malaysia
4Department of Environmental Science, Faculty of Environmental Studies, University Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia

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The objectives of this study are to determine the most significant parameters of Johor River Basin which contribute to river pollution loading and to discover the potential contamination of pollutants and perform the process capability of water quality. The environmetric techniques and statistical process control have been utilize in this study. PCA extracted eight principal components which explaining 77% of total variance. The APCS-MLR model has revealed NH3-N and PO4 as the main parameter which are main pollutants that give highest contribution towards the river. The control charts have been established for NH3-N and PO4 by using SPC to monitor the level of concentration in a timely manner. Thus, continuous monitoring in the area should be done for better improvement of river quality in the Johor River Basin. 

© 2017 The Authors. Published by IASE.

This is an open access article under the CC BY-NC-ND license (

Keywords: Environmetric, Water quality, Source apportionment, Principal component analysis, APCS-MLR, Statistical process control

Article History: Received 8 May 2017, Received in revised form 9 July 2017, Accepted 15 July 2017

Digital Object Identifier:


Samsudin MS, Azid A, Khalit SI, Saudi ASM, Zaudi MA (2017). River water quality assessment using APCS-MLR and statistical process control in Johor River Basin, Malaysia. International Journal of Advanced and Applied Sciences, 4(8): 84-97


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