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Tracking and Estimating Industrial Wastewater Transfers to Publicly Owned Treatment Works, A Data Engineering Approach
Citation:
Perez, D. AND Gerardo J. Ruiz-Mercado. Tracking and Estimating Industrial Wastewater Transfers to Publicly Owned Treatment Works, A Data Engineering Approach. The American Institute of Chemical Engineers (AIChE) Annual Meeting, Phoenix, AZ, November 13 - 18, 2022.
Impact/Purpose:
Industrial wastewater releases containing chemicals to publicly owned treatment works (POTW) is an end-of-life (EoL) scenario that requires further attention when determining whether chemical end-of-life (EoL) scenarios pose an unreasonable risk to human or environmental health. This conference presentation will describe the design of a novel structured framework that can produce transparent, reproducible, and scientifically credible datasets from regulated public-access databases with the intent to track and estimate EoL chemical releases and potential occupation exposure in POTWs. The framework evaluates environmental releases by collecting and storing various facility-reported datasets, process units, and unit operations by applying chemical flow analysis (CFA) methods. Also, CFA can be used for collecting life-cycle inventory (LCI) and identifying potential exposure scenarios for chemicals of concern at an EoL stage. Through this framework, stakeholders can gather, manage, and convert raw data into usable information to identify whether a chemical substance presents an unreasonable risk to human or environmental health.
Description:
Determining whether chemical end-of-life (EoL) scenarios pose an unreasonable risk to human or environmental health through risk evaluations has become an ever-growing focus of the U.S. EPA and other environmental regulatory entities across the U.S and the world. Wastewater releases from industrial sources to publicly owned treatment works (POTW) is an EoL scenario that requires further attention due to its role in the managing of said releases containing toxic chemicals at levels that would affect the quality of receiving waters and the POTW performance receiving those releases. A large amount of disparate data across several regulated public databases can support risk evaluation of chemicals found in industrial wastewater releases to POTWs. Gathering and sanitizing information from agency repositories that differ in reporting standards and data formats are challenging and time-consuming approaches, especially for those who are not proficient in the many local, state, and federal regulatory entities. Also, U.S. EPA’s current risk assessment methods for chemicals at their EoL scenarios is a structured case-by-case systematic review process that gathers scientific information and models consistent with the best available science to identify, evaluate and integrate data for risk evaluations. However, using this approach to review several thousand chemicals covered by these databases makes the case-by-case review procedure resource and time-intensive. Data engineering frameworks that can quickly collect and curate environmental release data from industrial EoL scenarios have been developed however, to this research team’s knowledge, no such framework exists that includes EoL POTW environmental releases and exposure scenarios. This work proposes the design of a novel structured framework that can produce transparent, reproducible, and scientifically credible datasets from regulated public-access databases with the intent to track and estimate EoL chemical releases and potential occupation exposure in POTWs. The framework evaluates environmental releases by collecting and storing various facility-reported datasets (e.g., TRI[1], NEI[2], Biennial Reports, DMR[3], RCRA[4], NPDES[5], etc.), process units, and unit operations by applying chemical flow analysis (CFA) methods. Also, CFA can be used for collecting life-cycle inventory (LCI) and identifying potential exposure scenarios for chemicals of concern at an EoL stage. Through this framework, stakeholders can gather, manage, and convert raw data into usable information to identify whether a chemical substance presents an unreasonable risk to human or environmental health. Furthermore, our framework supports worldwide efforts outlined by United Nations Millennial Goal #12 by providing a resource that can gather and assess chemical data that can be used to further improve environmentally sound chemical management. [1] Toxics Release Inventory (TRI) program [2] National Emissions Inventory (NEI) [3] Discharge Monitoring Report (DMR) [4] Resource Conservation and Recovery Act (RCRA) [5] National Pollutant Discharge Elimination System (NPDES)