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A Data Engineering Approach for Tracking Industrial Chemical Wastes in End-of-Use Scenarios
Citation:
Hernandez-Betancur, J., G. Ruiz-Mercado, AND J. Abraham. A Data Engineering Approach for Tracking Industrial Chemical Wastes in End-of-Use Scenarios. Foundations of Process Analytics and Machine learning (FOPAM), Raleigh, NC, August 06 - 09, 2019.
Impact/Purpose:
This conference poster presentation 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-use (EoU) 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 EoU management scenarios, which is not currently analyzed.
Description:
A chemical risk evaluation process is constrained by 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-use (EoU) of a chemical because the uncertainty in the disposition of the compound is greater. In this work, a data engineering and refinement framework for tracking industrial chemical waste at EoU scenarios approach is used to extract information from U.S. Environmental Protection Agency’s (EPA) structured and unstructured data to build a dataset which will be useful for tracking a chemical into its probable EoU final waste stream(s). Different EoU 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.