Fuzzy water quality index (FWQI) model in determining the water quality status of river in Penang Island

Wahab, Nurul Izzati Husna and Muhamad, Siti Nor Nadrah and Mohd Idris, Mohd Fazril Izhar (2019) Fuzzy water quality index (FWQI) model in determining the water quality status of river in Penang Island. In: Research Exhibition in Mathematics & Computer Science (REMACS 2019). Faculty of Computer and Mathematical Sciences, UiTM Cawangan Perlis, p. 51.
Abstract

The determination of water quality status of a river or any other water sources is highly undetermined. Thus, it is essential to have a good model to determine the status of water quality. The conventional water quality used by Development of Environment (DOE) has some limitations, by which many researchers have developed and used varieties of water quality measurements, but the value of Water Quality Index (WQI) is still not accurate. In recent years, the fuzzy logic methods have been demonstrated to be appropriate in addressing uncertainty and subjectivity in environmental issues. Therefore, in this study, the development of a new index which is called the Fuzzy Logic Water Quality Index (FWQI) is proposed to determine he water quality status of rivers in Penang Island, which are at Juru River, Pinang River, and Dondang River by using six parameters namely Dissolved Oxygen (DO), Biological Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Total Suspended Solid (TSS), Ammoniacal Nitrogen (NH3-N), and pH value. With the inspection of the smallest error in RMSE, it shows that the FWQI is better model compared to WQI model in determining the status of water quality. The results from this study shows that the status of the rivers for both stations at Juru River and Pinang River are polluted, while the status is slightly polluted for Dondang River.

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