Spatially-explicit absolute life cycle assessment by multi-regional hybrid modeling: Computational framework

被引:3
作者
Lee, Kyuha [1 ]
Chun, Soomin [2 ]
Bielicki, Jeffrey M. [2 ,3 ,4 ]
Bakshi, Bhavik R. [1 ,2 ,5 ]
机构
[1] Ohio State Univ, William G Lowrie Dept Chem & Biomol Engn, Columbus, OH 43210 USA
[2] Ohio State Univ, Environm Sci Grad Program, Columbus, OH 43210 USA
[3] Ohio State Univ, Dept Civil Environm & Geodet Engn, Columbus, OH 43210 USA
[4] Ohio State Univ, John Glenn Coll Publ Affairs, Columbus, OH 43210 USA
[5] Arizona State Univ, Tempe, AZ 85287 USA
基金
美国国家科学基金会;
关键词
Spatially-explicit environmental sustainability; assessment; Life cycle assessment; Environmentally-extended input-output; analysis; Techno-ecological synergy; Multiscale model integration; ECOSYSTEM SERVICES; SCALE;
D O I
10.1016/j.jclepro.2023.139789
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Human activities, environmental impacts, and the provision of ecosystem services vary by region. The existing regional environmental sustainability assessment approaches addressed such regional heterogeneity of inventory data at a single scale (i.e., either process or economy scale). However, depending on regional data availability and the assessment scope, a multiscale modeling approach that integrates existing data and models at various scales needs to be employed. This work introduces a general computational framework for spatially-explicit environmental sustainability assessment based on a multi-regional hybrid modeling approach. The developed framework accounts for regional activities at multiple scales by integrating the existing regional approaches at each scale. Also, the framework integrates the supply of ecosystem services, which vary by region as well, at multiple scales to perform spatially-explicit absolute environmental sustainability assessment. The proposed framework is demonstrated using an illustrative example of corn production in two regions. The results are discussed in comparison to the conventional approaches.
引用
收藏
页数:10
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