Specification of a Data Science Experiment for Contaminated Area Analysis

• Rosa Virginia Encinas Quille USP / IPT
• Gabriela dos Santos Luchetti Vieira UNESP
• Leandro Gomes de Freitas IPT
• Pedro Luiz Pizzigatti Corrêa USP
• Solange Nice Alves de Souza USP
• Alexandre Muselli Barbosa IPT
• Felipe Valencia de Almeida USP

DOI: https://doi.org/10.5753/wcama.2025.9385

Abstract

This work presents the methodological aspects of an experiment with Data Science to optimize the management of environmental data from Contaminated Sites management systems. Recent studies show that there is a lack of maturity models in the management of environmental data, such as the monitoring of contaminated sites. This scenario presents opportunities for innovation, through the application of computational tools associated with the digital transformation, intelligence, and data analytics. Therefore, a real case study is presented, involving the preliminary qualitative analysis of an environmental monitoring dataset from the EACH USP University Campus. It could be observed that, despite the quality of the database, there are management and availability problems, confirming the opportunity to carry out a proof of concept experiment with that methodology.

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