01.04.2014 | LIFE CYCLE IMPACT ASSESSMENT (LCIA) | Ausgabe 4/2014
Uncertainty and spatial variability in characterization factors for aquatic acidification at the global scale
- Zeitschrift:
- The International Journal of Life Cycle Assessment > Ausgabe 4/2014
Wichtige Hinweise
Responsible editor: Mark Huijbregts
Electronic supplementary material
The online version of this article (doi:10.1007/s11367-013-0683-0) contains supplementary material, which is available to authorized users.
Abstract
Purpose
Characterization factors (CFs) quantifying the potential impact of acidifying emissions on inland aquatic environments in life cycle assessment are typically available on a generic level. The lack of spatial differentiation may weaken the relevance of generic CFs since it was shown that regional impact categories such as aquatic acidification were influenced by the surroundings of the emission location. This paper presents a novel approach for the development of spatially differentiated CFs at a global scale for the aquatic acidification impact category.
Methods
CFs were defined as the change in relative decrease of lake fish species richness due to a change in acidifying chemicals emissions. The characterization model includes the modelling steps linking emission to atmospheric acid deposition (atmospheric fate factor) change, which lead to lake H+ concentration (receiving environment fate factor) change and a decrease in relative fish species richness (effect factor). We also evaluated the significance of each factor (i.e. atmospheric fate, receiving environment fate and effects) to the overall CFs spatial variability and parameter uncertainty.
Results and discussion
The highest CFs were found for emissions occurring in Canada, Scandinavia and the northern central Asia because of the extensive lake areas in these regions (lake areas being one of the parameters of the CFs; the bigger the lake areas, the higher the CFs). The CFs’ spatial variability ranged over 5, 6 and 8 orders of magnitude for NOx, SO2 and NH3 emissions, respectively. We found that the aquatic receiving environment fate factor is the dominant contributor to the overall spatial variability of the CFs, while the effect factors contributed to 98 % of the total parameter uncertainty.
Conclusions
The resulting characterization model and factors enable a consistent evaluation of spatially explicit acidifying emissions impacts at the global scale.