Fuzzy Logic Inference Index to Assess the Water Quality of Tigris River within Baghdad City

Salam Hussein Ewaid, Turki Diwan Hussein, Faiza Kadhim Emran

Abstract


This study aimed to develop a new water quality index for routine assessment of the river water quality for drinking purpose based on fuzzy logic artificial intelligence method. Four water quality parameters were involved in light of their significance to Iraqi waters, these parameters are biological oxygen demand, and total dissolved solids, total hardness, and fecal coliform. Fuzzy logic inference system with specific rules was developed by Matlab software using Mamdani fuzzy logic Max–Min inference system method. To evaluate the performance of this new fuzzy water quality index (FWQI), tests were conducted using the Iraqi standards for drinking water quality and the 2017 data set of Tigris River within Baghdad. Results revealed the FWQI ability to assess the water quality of Tigris River during the period of the study and that the method of fuzzy inference system was a simple, valuable and applied water quality evaluation tool for human drinking water of Iraqi rivers.

Keywords


Water quality index, Iraqi Rivers, Fuzzy logic.

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References


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DOI: http://dx.doi.org/10.23851/mjs.v29i3.617

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