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一种数据工程方法,用于可持续的化学品生命周期末期管理

Jose D Hernandez-Betancur^1,2, Mariano Martin², Gerardo J Ruiz-Mercado^3,4

¹Oak Ridge Institute for Science and Education, hosted by Office of Research & Development, U.S. Environmental Protection Agency, Cincinnati, OH, 45268, USA.

Resources, conservation, and recycling

|August 17, 2023

概括

本研究引入了一种数据工程方法,用于跟踪化学物质流动,并估计生命周期末期 (EoL) 阶段的释放量. 这有助于评估风险并设计更安全的化学品循环生命周期.

科学领域:

环境科学环境科学
化学工程是化学工程的重要组成部分.
数据科学数据科学数据科学

背景情况:

具有不良健康和环境影响的化学品对可持续的终生管理 (EoL) 构成挑战.
过渡到循环经济需要理解和减轻与化学物质EOL相关的风险.
有效的EOL化学品管理需要跟踪流量,估计释放量和评估暴露途径.

研究的目的:

提出一种数据工程方法,用于EOL的化学流量分析和选.
支持风险评估和暴露评估,以实现更安全的化学循环生命周期.
确定循环后的场景和生命周期内的化学物质转移.

主要方法:

利用公开可用的数据进行分析.
开发了用于化学流量跟踪的数据工程框架.
估计的行业间化学物质转移和暴露途径.
为回收循环运作纳入的监管约束.

主要成果:

确定了潜在的回收后场景和从EOL设施到制造业的化学物质转移.
估计的化学流量分配到回收后的用途.
从EOL操作中量化职业暴露和逃逸空气释放.

结论:

拟议的数据工程框架允许在EOL进行全面的化学流量分析和选.
这种方法支持风险评估和设计更安全的循环化学生命周期.
该框架考虑了监管方面的考虑,并量化了潜在的风险和释放.

关键词:

化学流量分析化学流量分析循环生命周期的循环生命周期数据管道数据管道生命周期末期管理链的管理链.

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