The Mar Piccolo is a transitional water system located in Taranto city (Southern Italy); it is a semi-enclosed basin affected by severe pollution issues due to the presence of various industrial, agricultural and other anthropic activities that require careful monitoring and management. The pollution levels reached over time have harmed marine biodiversity and human health, repeatedly requiring timely actions for its mitigation. Characterization methodologies and techniques today play a fundamental role in supporting the decision-making phase, processing large quantities of data and identifying complex patterns and correlations. An approach focused on gaining detailed knowledge of complex environmental contexts through clustering map techniques enables highly precise results, capturing even the smallest variations in the features of the study object and strongly correlating them with possible sources of pollution. The use of these techniques improves the precision of the analyses and can significantly contribute to improving the understanding of the environmental state in the Mar Piccolo area. This study addresses the issue of pollution in Mar Piccolo due to marine litter, which has led to the formation of synanthropic habitats on the seabed. It also highlights the value of clustering maps and other characterization techniques for achieving detailed insights at various levels of analysis. Data processing through the proposed methodology can generate very detailed mapping useful for planning precision reclamation interventions that also include species conservation actions, as well as a better understanding of how synanthropic habitats are distributed and evolve. In summary, this study demonstrates how it is possible to improve the precision of data processing, providing crucial details for the management and conservation of highly threatened marine ecosystems.
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