A Fuzzy Inference System for Water Quality of Chunnambar River, Puducherry

Abstract:

A Fuzzy Inference System (FIS) is considered as an effective tool for solution of many complex engineering systems when ambiguity and uncertainty is associated with the systems. The water quality is an important issue of relevance in the context of present times. The proposed model is designed to predict Water Quality Index (WQI) for Chunnambar, Ariyankuppam, Puducherry Region, Southern India. A systematic investigation of the pollution level at Chunnambar from March 2013 to February 2014 was carried out. The untreated domestic wastes from various parts of the Ariyankuppam town are directly discharged into the river which leads to increased level of pollution. The present studies emphasis on the magnitude of pollution by monitoring key water quality parameters such as Dissolved Oxygen (DO), Biological Oxygen Demand (BOD), pH and Temperature. FIS simplifies and speed up the computation of WQI as compared to the currently existing standards. In this paper, the proposed model is compared with Indian Water Quality Index (IWQI) and it is found that the designed model predicts accurately.

• Periodical: Applied Mechanics and Materials (Volume 787)
• Pages: 322-326
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.787.322
• Online since: August 2015
• Authors: V. Nirmala*, K.R. Leelavathy, Sivapragasam Sowndharya, Parthiban Bama
• Keywords: Fuzzy Inference System, River Water Quality, Surface Water Quality, Water Quality Index

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