Development of Chinese characterization factors for land use in life cycle impact assessment

2010 ◽  
Vol 53 (6) ◽  
pp. 1483-1488 ◽  
Author(s):  
Yu Liu ◽  
ZuoRen Nie ◽  
BoXue Sun ◽  
ZhiHong Wang ◽  
XianZheng Gong
Keyword(s):  
Land Use ◽  
Life Cycle ◽  
Impact Assessment ◽  
Life Cycle Impact Assessment ◽  
Characterization Factors ◽  
Life Cycle Impact

A GIS based method to calculate regionalized land use characterization factors for life cycle impact assessment using LANCA®

2020 ◽  
Vol 25 (7) ◽  
pp. 1259-1277 ◽  
Author(s):  
Ulrike Bos ◽  
Stephanie D. Maier ◽  
Rafael Horn ◽  
Philip Leistner ◽  
Matthias Finkbeiner
Keyword(s):  
Land Use ◽  
Life Cycle ◽  
Impact Assessment ◽  
Life Cycle Impact Assessment ◽  
Characterization Factors ◽  
Life Cycle Impact

scholarly journals A Practical Comparison of Regionalized Land Use and Biodiversity Life Cycle Impact Assessment Models Using Livestock Production as a Case Study

2018 ◽  
Vol 10 (11) ◽  
pp. 4089 ◽  
Author(s):  
Ricardo Teixeira ◽  
Tiago Morais ◽  
Tiago Domingos
Keyword(s):  
Land Use ◽  
Life Cycle ◽  
Impact Assessment ◽  
Life Cycle Impact Assessment ◽  
Spatial Differentiation ◽  
Strongly Correlated ◽  
Land Occupation ◽  
Country Level ◽  
Life Cycle Impact

Land use is increasingly important for impact assessment in life cycle assessment (LCA). Its impacts on biodiversity and provision of ecosystem services are crucial to depict the environmental performance of products. Life cycle impact assessment (LCIA) models are commonly selected by consensus through processes frequently misinformed by the absence of practical application studies. Here, we performed an assessment of all free and peer-reviewed LCIA models for land use. We started with spatial correlation analysis at the country scale. Models that use the same indicators are strongly correlated, suggesting that regionalization is no longer a decisive issue in model selection. We applied these models in a case study for cattle production where feeds are replaced by sown biodiverse pastures (SBP). We tested (1) a non-regionalized inventory from an LCA database and, (2) a regionalized inventory that explicit considered the locations of land occupation and transformation. We found the same qualitative result: the installation of SBP avoids impacts due to feed substitution. Each hectare of SBP installed avoids the occupation of 0.5 hectares per year for feed ingredient production. Adding inventory regionalization for 70% of land use flows leads to a change of 15% in results, suggesting limited spatial differentiation between country-level characterization factors.

scholarly journals Global land use impacts on biomass production—a spatial-differentiated resource-related life cycle impact assessment method

2015 ◽  
Vol 20 (4) ◽  
pp. 440-450 ◽  
Author(s):  
Rodrigo A. F. Alvarenga ◽  
Karl-Heinz Erb ◽  
Helmut Haberl ◽  
Sebastião R. Soares ◽  
Rosalie van Zelm ◽  
...  
Keyword(s):  
Land Use ◽  
Life Cycle ◽  
Impact Assessment ◽  
Biomass Production ◽  
Life Cycle Impact Assessment ◽  
Assessment Method ◽  
Land Use Impacts ◽  
Global Land ◽  
Impact Assessment Method ◽  
Life Cycle Impact

scholarly journals Measuring Product Material Footprint as New Life Cycle Impact Assessment Method: Indicators and Abiotic Characterization Factors

Resources ◽  
2019 ◽  
Vol 8 (2) ◽  
pp. 61 ◽  
Author(s):  
Mostert ◽  
Bringezu
Keyword(s):  
Life Cycle ◽  
Impact Assessment ◽  
Life Cycle Impact Assessment ◽  
Global Economy ◽  
Methodological Approach ◽  
Resource Efficiency ◽  
Raw Material ◽  
Characterization Factors ◽  
Life Cycle Impact ◽  
Lcia Method

The global economy is using growing amounts of natural resources such as raw materials, water, and land by making and using goods, services, and infrastructure. Aspirations on international, regional, and national levels e.g., the Sustainable Development Goals, the EU flagship initiative Roadmap to a Resource Efficient Europe or the German Program for Resource Efficiency are showing an urgent need to bring the global raw material use down to sustainable levels. An essential prerequisite to identify resource efficient options and to implement resource efficiency measures and solutions is the ability to compare different products or services regarding their raw material use. Until today, there is no internationally standardized approach defined and no software supported calculation method including the necessary data basis available to measure the raw material intensity of products. A new life cycle impact assessment (LCIA) method Product Material Footprint PMF is described. Two indicators are used to quantify the PMF: the Raw Material Input RMI and the Total Material Requirement TMR. The calculation of global median values for the characterization factors CFRMI and CFTMR of abiotic materials was done based on different databases. This article presents the methodological approach of the PMF, the calculation results for CFRMI of 42 abiotic materials and CFTMR of 36 abiotic materials, and the implementation of the LCIA method into the software openLCA for use with the ecoinvent database.

scholarly journals An improved life cycle impact assessment principle for assessing the impact of land use on ecosystem services

2019 ◽  
Vol 693 ◽  
pp. 133374 ◽  
Author(s):  
Benoit Othoniel ◽  
Benedetto Rugani ◽  
Reinout Heijungs ◽  
Marco Beyer ◽  
Miriam Machwitz ◽  
...  
Keyword(s):  
Land Use ◽  
Life Cycle ◽  
Ecosystem Services ◽  
Impact Assessment ◽  
Life Cycle Impact Assessment ◽  
Life Cycle Impact ◽  
The Impact

European characterization factors for human health damage of PM10 and ozone in life cycle impact assessment

2008 ◽  
Vol 42 (3) ◽  
pp. 441-453 ◽  
Author(s):  
Rosalie van Zelm ◽  
Mark A.J. Huijbregts ◽  
Henri A. den Hollander ◽  
Hans A. van Jaarsveld ◽  
Ferd J. Sauter ◽  
...  
Keyword(s):  
Life Cycle ◽  
Impact Assessment ◽  
Human Health ◽  
Life Cycle Impact Assessment ◽  
Characterization Factors ◽  
Human Health Damage ◽  
Health Damage ◽  
Life Cycle Impact

A proposal for using process-based soil models for land use Life cycle impact assessment: Application to Alentejo, Portugal

2018 ◽  
Vol 192 ◽  
pp. 864-876 ◽  
Author(s):  
Tiago G. Morais ◽  
Cláudia Silva ◽  
Asma Jebari ◽  
Jorge Álvaro-Fuentes ◽  
Tiago Domingos ◽  
...  
Keyword(s):  
Land Use ◽  
Life Cycle ◽  
Impact Assessment ◽  
Life Cycle Impact Assessment ◽  
Life Cycle Impact
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