Marine water quality index classification and prediction using machine learning framework
by Komathy Karuppanan
International Journal of Water (IJW), Vol. 15, No. 1, 2022

Abstract: Quality of marine water has a direct impact on the evolution of the ocean ecosystem, which aggravates the survival of marine organisms and animals. Additionally, the ballast water, carried in ships drawn from the open sea/ocean, may lead to bio-invasion if the quality of the water is unchecked and released into another sea/ocean. The ballast water treatment methods may sometime alter the physicochemical properties, which might be harmful to receiving water region. The objective of this paper is, therefore, to propose a new method for the estimation of marine water quality from the physiochemical and biological properties of the marine water and then a suitable computational architecture supporting machine learning techniques to assist in classifying and predicting the marine water quality. The proposed framework has evaluated various classification models to select the best-fit algorithm for this application through model training and optimising. The finalised model called stacking classifierwas then recommended for ballast water quality prediction with 100% accuracy, which could be deployed prior to the ballast water exchange.

Online publication date: Thu, 11-May-2023

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