Assessing Water Quality Index in River Basin: Fuzzy Inference System Approach

Herman Umbau Lindang (), Zamali Hj Tarmudi and Ajimi Jawan
Additional contact information
Herman Umbau Lindang: School of Biological Sciences, Faculty of Applied Sciences, Universiti Teknologi MARA Shah Alam, 40450 Selangor.
Zamali Hj Tarmudi: Department of Mathematics, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Sabah, Locked Bag 71, 88997 Kota Kinabalu, Sabah
Ajimi Jawan: Department of Biological Sciences, Faculty of Applied Sciences, Universiti Teknologi MARA Sabah, Locked Bag 71, 88997 Kota Kinabalu, Sabah

Malaysian Journal of Geosciences (MJG), 2017, vol. 1, issue 1, 27-31

Abstract: Water Quality Index is an important water assessment that sustain and conserve the aquatic ecosystem. In Malaysia, the current classi ication practice on Department of Environmental Water Quality Index (DOE WQI) shows rigid value in term of assessing the input of parameters that close to a class boundary. Hence, this study proposed a technique to assess the parameters in a holistic manner by using the Fuzzy Inference System (FIS). The approach as an assessment tool represents the classes of various ranges and aggregating the parameters using membership function and Centroid Function respectively. A numerical example based on actual data from one of the sampling station from Inanam Likas River Basin was adapted in this study. It was adapted to demonstrate the proposed approach. Findings shown using the proposed methods indicate that the river has Poor water status. Overall, FIS is able to assess the parameters and execute into a single index that represent the condition from poor to excellent scales of the water quality.

Keywords: Fuzzy Inference System (FIS); Water Quality Assessment; River Basin (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://myjgeosc.com/download/812/ (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:zib:zbnmjg:v:1:y:2017:i:1:p:27-31

DOI: 10.26480/mjg.01.2017.27.31

Access Statistics for this article

Malaysian Journal of Geosciences (MJG) is currently edited by Dr. Rodeano Roslee

More articles in Malaysian Journal of Geosciences (MJG) from Zibeline International Publishing
Bibliographic data for series maintained by Zibeline International Publishing ( this e-mail address is bad, please contact ).