New direction of life cycle assessment: GIS-based life cycle assessment

TIAN Yajun; DENG Yelin; ZHANG Yueling; XIE Kechang

doi:10.11949/j.issn.0438-1157.20151795

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New direction of life cycle assessment: GIS-based life cycle assessment

更新时间：2025-11-26

- New direction of life cycle assessment: GIS-based life cycle assessment
- CIESC Journal Issue 6, Pages: 2195-2201(2016)
- 作者机构：
  
  1. 北京低碳清洁能源研究所,北京,102209
  2. Department of Mechanical Engineering, University of Wisconsin-, Milwaukee,Milwaukee,USA,53211
  3. 华北电力大学环境与化学工程学院,北京,102206
  4. 太原理工大学煤科学与技术教育部和山西省重点实验室,山西,太原,030024
  5. 清华大学热能工程系,北京,100084
- 作者简介：
- 基金信息：
- DOI：10.11949/j.issn.0438-1157.20151795
  CLC： 823
- Online First：05 June 2016，
  
  Published：05 June 2016
- 稿件说明：
移动端阅览
TIAN Yajun, DENG Yelin, ZHANG Yueling, et al. New direction of life cycle assessment: GIS-based life cycle assessment[J]. CIESC Journal, 2016, (6): 2195-2201.
DOI：

TIAN Yajun, DENG Yelin, ZHANG Yueling, et al. New direction of life cycle assessment: GIS-based life cycle assessment[J]. CIESC Journal, 2016, (6): 2195-2201. DOI： 10.11949/j.issn.0438-1157.20151795.

摘要

综述了生命周期评价(LCA)区域化研究的进展

论述了将空间信息数据引入LCA的必要性与可行性

以及GIS(geographical information system)在LCA地域化的重要作用。综述表明GIS能系统有效地组织和管理空间数据

能够管理LCA明细的地域信息、LCA影响的地域信息

从而实现GIS与LCA的结合。在此基础上

进一步提出了基于地理信息的LCA的架构

分析了基于GIS的LCA发展的机遇和挑战。基于地理信息的LCA将突破传统LCA缺乏空间信息的致命缺陷

其结果将更具准确性和科学性

基于地理信息的LCA的绿色设计和管理对企业以及政府将更具可操作性

是生命周期评价方法发展的新方向。

Abstract

The study presents an overview on the development of regionalization of life cycle assessment (LCA). The results of the paper indicate that incorporating spatial information into the process of the life cycle assessment is both necessary and feasible. The GIS (geographical information system)

on the other hand

is an important platform to serve the purpose. The paper shows that GIS can effectively align and manage the spatial data in a flexible way

and thus promote the application of regionalized LCA study. The paper proposes a framework for the design of GIS based LCA. By integration GIS and LCA

the accuracy and representativeness of LCA results can be upgraded

which lays a solid foundation for policy making process.

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