The presence of chemicals causing significant adverse human health and environmental effects during end-of-life (EoL) stages is a challenge for implementing sustainable management efforts and transitioning towards a safer circular life cycle. Conducting chemical risk evaluation and exposure assessment of potential EoL scenarios can help understand the chemical EoL management chain for its safer utilization in a circular life-cycle environment. However, the first step is to track the chemical flows, estimate releases, and potential exposure pathways. Hence, this work proposes an EoL data engineering approach to perform chemical flow analysis and screening to support risk evaluation and exposure assessment for designing a safer circular life cycle of chemicals. This work uses publicly-available data to identify potential post-recycling scenarios (e.g., industrial processing/use operations), estimate inter-industry chemical transfers, and exposure pathways to chemicals of interest. A case study demonstration shows how the data engineering framework identifies, estimates, and tracks chemical flow transfers from EoL stage facilities (e.g., recycling and recovery) to upstream chemical life cycle stage facilities (e.g., manufacturing). Also, the proposed framework considers current regulatory constraints on closing the recycling loop operations and provides a range of values for the flow allocated to post-recycling uses associated with occupational exposure and fugitive air releases from EoL operations.

化学品的存在会在报废 (EoL) 阶段对人类健康和环境造成严重不利影响，这对于实施可持续管理工作和向更安全的循环生命周期过渡是一个挑战。对潜在的 EoL 场景进行化学品风险评估和暴露评估可以帮助了解化学品 EoL 管理链，以便在循环生命周期环境中更安全地利用化学品。然而，第一步是跟踪化学品流动、估计释放和潜在的暴露途径。因此，这项工作提出了一种 EoL 数据工程方法来执行化学流动分析和筛选，以支持风险评估和暴露评估，从而设计更安全的化学品循环生命周期。这项工作使用公开数据来确定潜在的回收后情景（例如工业加工/使用操作），估计行业间化学品转移以及感兴趣化学品的暴露途径。案例研究演示展示了数据工程框架如何识别、估计和跟踪从 EoL 阶段设施（例如，回收和回收）到上游化学品生命周期阶段设施（例如，制造）的化学流转移。此外，拟议的框架考虑了当前对关闭回收循环操作的监管限制，并为分配给与职业暴露和 EoL 操作中的逃逸空气释放相关的回收后用途的流量提供了一系列值。