BE: MUSES: Tracking Heavy Metal Life Cycle Pathways with Input-Output Methods

BE：MUSES：使用输入输出方法跟踪重金属生命周期路径

• 批准号: 0328870
• 负责人: Lester Lave
• 金额: $ 119万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-01 至 2008-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0328870&HistoricalAwards=false
• 关键词: MUSES; Tracking; Heavy; Metal; Life

This Biocomplexity in the Environment - Materials Use: Science, Engineering and Society research project is aimed at developing input-output models of heavy metal flows throughout some 500 economic sectors in the United States, including those representing product use and recycling. This next generation of models will build upon the existing Economic Input-Output Life-Cycle Assessment (EIO-LCA) model, providing a basis for the materials use studies of metals such as cadmium, chromium, copper, lead, mercury and nickel. The heavy metals are of considerable concern as they are in widespread use in numerous industries and many are quite toxic. Understanding how and why we use these toxic materials can help the decision-makers make use of them more effectively or reduce/eliminate their use altogether. This research will result in an inexpensive, quick analysis tool for both existing material flows and changes in material flows. Emissions estimates will be corroborated using independent information sources for emissions and ambient concentrations, and these will be combined to assess and characterize the uncertainty in model predictions. International comparisons of metals use, reuse and recycle rates in Canada and Japan will provide insights into the magnitude of problems and possible material management strategies. These next generation LCA models will permit steady-state supply chain, releases, uses and recycling flows of heavy metals to be identified at the individual product level up through the industrial sector level. The models will also provide estimates of changes in heavy metal flows due to new technologies, growth in economic activity and changes in mix of economic activity. Scenarios leading to long-term sustainable materials use will be identified involving both new technologies and management strategies. With comparison to multiple datasets and simulation results, the data and model uncertainty will be identified and characterized. The project will implement the models on the Internet for widespread use, including education modules and a specialized interface intended for middle and secondary school students. The new models will inform the various stakeholders such as industry, environmental groups, regulators and the public at large who are concerned with these heavy metal flows.

这一环境中的生物复杂性-材料用途：科学、工程和社会研究项目旨在开发美国约500个经济部门中重金属流动的投入产出模型，包括代表产品使用和回收的部门。下一代模型将建立在现有的经济投入产出生命周期评估（EIO-LCA）模型的基础上，为镉、铬、铜、铅、汞和镍等金属的材料使用研究提供基础。重金属是相当令人关注的，因为它们在许多行业中广泛使用，许多都是有毒的。了解我们如何以及为什么使用这些有毒材料可以帮助决策者更有效地利用它们或减少/完全消除它们的使用。 这项研究将为现有的物质流和物质流的变化提供一种廉价，快速的分析工具。排放量估计数将使用关于排放量和环境浓度的独立信息来源加以证实，这些信息将结合起来评估和说明模型预测的不确定性。对加拿大和日本的金属使用、再利用和再循环率进行国际比较，将有助于深入了解问题的严重程度和可能的材料管理战略。 这些下一代生命周期评估模型将允许在单个产品层面上通过工业部门层面确定重金属的稳态供应链、释放、使用和回收流程。这些模型还将提供由于新技术、经济活动增长和经济活动组合变化而引起的重金属流动变化的估计数。将确定涉及新技术和管理战略的长期可持续材料使用的设想方案。通过与多个数据集和模拟结果的比较，将识别和表征数据和模型的不确定性。该项目将在因特网上广泛使用这些模式，包括教育模块和一个专门针对中学生的界面。新的模型将告知各利益攸关方，如工业、环保团体、监管机构和关注这些重金属流动的公众。