Water quality evaluation using soft computing method

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Abstract

Water is one of the essential ingredients of life, as every species of flora and fauna requires water for its survival. The usable freshwater available is only 2.5% of the whole water present on planet Earth. Further due to rise in the level of water pollution, it has become inevitable to determine the Water Quality Index (WQI) for the suitable use of water. In this report, we applied a soft computing approach to evaluate the WQI and categorise water into different categories according to its suitable uses. Determination of WQI is highly arcane as it is influenced by numerous factors and chemical components of water. Fuzzy logic is an approach based on the ‘magnitude of truth’ rather than the ‘two valued’ (Binary logic). Soft computing provides us tools to determine WQI linguistically, which is ‘very good’, ‘poor’, ‘moderately poor’, etc. The study focuses on determining the WQI by applying fuzzy logic methodology.

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APA

Bhardwaj, S., Gupta, D., & Khanna, A. (2021). Water quality evaluation using soft computing method. In Advances in Intelligent Systems and Computing (Vol. 1166, pp. 1043–1052). Springer. https://doi.org/10.1007/978-981-15-5148-2_89

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