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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Herman Umbau Lindang & Zamali Hj Tarmudi & Ajimi Jawan, 2017. "Assessing Water Quality Index in River Basin : Fuzzy Inference System Approach," Malaysian Journal of Geosciences (MJG), Zibeline International Publishing, vol. 1(1), pages 27-31, February.
    • Handle: RePEc:zib:zbnmjg:v:1:y:2017:i:1:p:27-31
    DOI: 10.26480/mjg.01.2017.27.31
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