scholarly journals Thailand Characterization Factors for Human Health and Biodiversity Damage of Chemical Substances in Life Cycle Impact Assessment

2013 ◽  
Vol 2 (6) ◽  
pp. 154
Author(s):  
Chantima Rewlay-ngoen
Keyword(s):  
Life Cycle ◽  
Impact Assessment ◽  
Human Health ◽  
Life Cycle Impact Assessment ◽  
Characterization Factors ◽  
Chemical Substances ◽  
Life Cycle 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 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

Life cycle impact assessment of pesticides on human health and ecosystems

2002 ◽  
Vol 93 (1-3) ◽  
pp. 379-392 ◽  
Author(s):  
M. Margni ◽  
D. Rossier ◽  
P. Crettaz ◽  
O. Jolliet
Keyword(s):  
Life Cycle ◽  
Impact Assessment ◽  
Human Health ◽  
Life Cycle Impact Assessment ◽  
Life Cycle Impact

Human health damages due to ionising radiation in life cycle impact assessment

2000 ◽  
Vol 20 (2) ◽  
pp. 159-189 ◽  
Author(s):  
R. Frischknecht ◽  
A. Braunschweig ◽  
P. Hofstetter ◽  
P. Suter
Keyword(s):  
Life Cycle ◽  
Impact Assessment ◽  
Human Health ◽  
Life Cycle Impact Assessment ◽  
Ionising Radiation ◽  
Life Cycle Impact ◽  
Human Health Damages

scholarly journals Modeling human health characterization factors for indoor nanomaterial emissions in life cycle assessment: a case-study of titanium dioxide

2017 ◽  
Vol 4 (8) ◽  
pp. 1705-1721 ◽  
Author(s):  
Michael P. Tsang ◽  
Dingsheng Li ◽  
Kendra L. Garner ◽  
Arturo A. Keller ◽  
Sangwon Suh ◽  
...  
Keyword(s):  
Titanium Dioxide ◽  
Life Cycle Assessment ◽  
Life Cycle ◽  
Impact Assessment ◽  
Human Health ◽  
Life Cycle Impact Assessment ◽  
Assessment Model ◽  
Characterization Factors ◽  
Intake Fraction

A dynamic life cycle impact assessment model demonstrates a non-constant intake fraction of inhaled nano-TiO2 as total emissions changes.

scholarly journals Human Health Impacts of Aviation Biofuel Production: Exploring the Application of Different Life Cycle Impact Assessment (LCIA) Methods for Biofuel Supply Chains

Processes ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 158 ◽  
Author(s):  
Zhizhen Wang ◽  
Patricia Osseweijer ◽  
John A. Posada
Keyword(s):  
Life Cycle ◽  
Impact Assessment ◽  
Human Health ◽  
Life Cycle Impact Assessment ◽  
Biomass Conversion ◽  
Biofuel Production ◽  
Aviation Fuel ◽  
Life Cycle Impact ◽  
Aviation Biofuels ◽  
Aviation Biofuel

The life cycle human health (HH) impacts related to aviation biofuels have been understood in a limited way. Life cycle impact assessment (LCIA) methods for assessing HH are often associated with a high level of uncertainty and a low level of consensus. As a result, it remains challenging to perform a robust assessment of HH impacts with a suitable LCIA method. This study aims to systematically compare six commonly used LCIA methods for quantifying HH impacts, in order to empirically understand the potential impacts of aviation biofuel production on HH and how the results are affected by the choice of methods. Three aviation biofuel production pathways based on different feedstocks (sugarcane, eucalyptus, and macauba) were analyzed and compared to fossil aviation biofuels, on the basis of a functional unit of 1 MJ aviation fuel. The majority of the LCIA methods suggest that, in respect to midpoint impacts, macauba-based biofuel is associated with the lowest impacts and eucalyptus-based biofuel the highest; whereas at endpoint level, the results are more scattered. The LCIA methods agree that biomass conversion into aviation biofuel, H2 production, and feedstock cultivation are major contributors to life cycle HH impacts. Additionally, we provide a guideline for determining an appropriate method for assessing HH impacts.

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.

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
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