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.

环境中的这种生物复杂性 - 材料使用：科学，工程和社会研究项目旨在在美国大约500个经济领域开发重金属流的投入输出模型，包括代表产品使用和回收利用的人。下一代模型将建立在现有的经济投入输出生命周期评估（EIO-LCA）模型的基础上，为材料的使用基础提供了对金属（例如镉，铬，铜，铜，铅，铅，汞和镍）的基础。重金属在众多行业中广泛使用，并且许多具有毒性，这是相当大的关注点。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，或者完全减少/消除其使用。 这项研究将为现有材料流和材料流的变化提供廉价，快速的分析工具。排放估计将使用独立的排放和环境浓度来证实，并将这些估计值组合在一起，以评估和表征模型预测中的不确定性。在加拿大和日本，金属使用，再利用和回收率的国际比较将提供有关问题和可能的材料管理策略的见解。 这些下一代LCA模型将允许稳态供应链，释放，用途和回收重金属的用途和回收，可以在单个产品级别通过工业部门级别识别。由于新技术，经济活动的增长以及经济活动的变化，这些模型还将估计重金属流的变化。将确定导致长期可持续材料使用的场景涉及新技术和管理策略。与多个数据集和仿真结果相比，将确定和表征数据和模型不确定性。该项目将在Internet上实施广泛使用的模型，包括教育模块和专门用于中学和中学生的专业界面。新模型将告知各种利益相关者，例如行业，环境团体，监管机构和广大公众，他们关注这些重金属流。