A survey on TRIX index and machine learning applications in marine pollution context

A survey on TRIX index and machine learning applications in marine pollution context

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연구 분야: Artificial Intelligence

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학회: International Journal of Data Science and Analytics

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초록

This paper explores the integration of machine learning with the trophic index (TRIX) to assess eutrophication and water quality, with a specific focus on the Mediterranean region and other ecologically sensitive areas. While various indices, such as the Water Quality Index and Pollution Index, exist, they often fall short of the TRIX index’s flexibility and specificity in aquatic eutrophication assessment. This paper highlights the benefits of combining machine learning models with TRIX for a more predictive, data-driven approach to water quality management.

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