A data-centric framework to perform chemical flow analysis

  1. Hernández Betancur, Jose Daniel
Dirigida por:
  1. Mariano Martín Martín Director/a
  2. Gerardo Ruiz Mercado Codirector/a

Universidad de defensa: Universidad de Salamanca

Fecha de defensa: 05 de septiembre de 2022

Tribunal:
  1. César de Prada Moraga Presidente/a
  2. Pedro Miguel Gil de Castro Secretario/a
  3. 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.