A data-centric framework to perform chemical flow analysis
- Hernández Betancur, Jose Daniel
- Mariano Martín Martín Director/a
- Gerardo Ruiz Mercado Codirector/a
Universidad de defensa: Universidad de Salamanca
Fecha de defensa: 05 de septiembre de 2022
- César de Prada Moraga Presidente/a
- Pedro Miguel Gil de Castro Secretario/a
- Susana Luque Rodríguez Vocal
Tipo: Tesis
Resumen
Identification of potential end-of-life (EoL) exposure scenarios and environmental releases is important to perform chemical risk evaluation. Nonetheless, this task is time-consuming and challenging due to the vast amount of data that must be collected and the uncertainty that characterizes the EoL stage. Thus, this thesis proposes a data-driven methodology for automatically collecting data from publicly-accessible and siloed database systems and transforming them into a machine-readable structure. These data are used for exploratory data analysis and data-driven modeling to gain a better understanding of the EoL supply and management chain, identify chemical EoL exposure scenarios, and estimate releases.