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A Data Engineering Approach for Tracking Industrial Chemical Wastes in End-Of-Life Scenarios
Citation:
Hernandez-Betancur, J., Gerardo J. Ruiz-Mercado, AND John P. Abraham. A Data Engineering Approach for Tracking Industrial Chemical Wastes in End-Of-Life Scenarios. In Proceedings, Foundations Of Process Analytics and Machine Learning (FOPAM) Conference, Raleigh,NC, August 06 - 09, 2019. Computer Aids for Chemical Engineering (CACHE), Williamsburg, MA, 14, (2019). https://doi.org/10.13140/RG.2.2.30485.06884
Impact/Purpose:
This extended abstract describes a data-reconciliation and learning-from-data framework for tracking a chemical into its probable recycling, recovery, and/or reuse stage. The chemical end-of-life (EoL) management at off-site facilities may result in potential significant releases of a chemical of interest, and therefore relevant to a more complete Toxic Substance Control Act (TSCA) risk evaluation. This contribution aims the facilitation of chemical risk evaluation under TSCA needs by addressing the uncertainty and data requirements in the disposition of a chemical of interest when determining its EoL management scenarios, which is not currently analyzed.
Description:
A chemical risk evaluation process is burdened by apparently time-consuming data requirements. These requirements include: the conditions of use; quantities of a chemical to which a receptor - either human or the environment - is exposed; the exposure pathway and route; the most susceptible receptors; and the hazards of a chemical. Such data requirements are even more difficult to determine at the end-of-life (EoL) of a chemical because the uncertainty in the disposition of the compound is greater. In this work, a data engineering approach is used to extract information from U.S. Environmental Protection Agency’s (EPA) structured and non-structured data to build a dataset which will be useful for tracking a chemical into its probable EoL final waste stream(s). Different EoL management scenarios may result in potential significant releases of the chemical, and therefore relevant to a more complete Toxic Substance Control Act (TSCA) risk evaluation. This contribution aims the facilitation of chemical risk evaluation under TSCA needs.