19.10.2014 Views

MEASURING WATER USE IN A GREEN ECONOMY - UNEP

MEASURING WATER USE IN A GREEN ECONOMY - UNEP

MEASURING WATER USE IN A GREEN ECONOMY - UNEP

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

Measuring water use in a green economy<br />

consumption data of the highest resolution currently available (5arc-minutes), (Pfister et al.,<br />

2011; Pfister at al., 2009) and weighted by the corresponding water scarcity factors.<br />

The same comparison was done with the results presented in a case study on the water footprint<br />

of bioenergy, where, for example, maize becomes favourable over sugar beet when applying<br />

the stress-weighted water footprint. Again this illustrates the different conclusions taken from<br />

different water footprint definitions and the need for synchronisation.<br />

As a result of these comparisons one can conclude that both approaches should be used in<br />

combination, reporting blue and green water as well as the stress-weighted water footprint<br />

in order to have a transparent yet informative result, as is done for proper carbon footprint<br />

assessment in LCAs, where different emissions (e.g. CH4 and CO2) are reported separately but<br />

finally aggregated in a weighted number).<br />

are specific methods developed to describe<br />

impacts in the field of eutrophication,<br />

acidification, human- and eco-toxicity using<br />

different model for cause-effect relationships<br />

and indices (Goedkoop et al., 2009; Garnier-<br />

Laplace et al., 2008; Struijs et al., 2011; Itsubo<br />

et al., 2008).<br />

Early LCA methods, such as the Swiss ecoscarcity<br />

method (updated by Frischknecht et<br />

al., 2008), related impacts mainly to emission<br />

targets. The cause-effect relations now used<br />

to assess environmental impacts are more<br />

sophisticated, however, and are improving<br />

rapidly. Examples include the current EUfunded<br />

project ‘LC-Impact’. For all methods,<br />

spatial distinction is crucial for improving the<br />

reliability and usefulness of the results.<br />

Developments to improve the quantitative<br />

consideration in the LCA analysis have<br />

therefore started to integrate WFA into the LCA<br />

analysis.<br />

However, a purely volume-oriented approach<br />

like WFA would not be consistent with the<br />

original LCA concept, building on impact<br />

factors to reflect the damage that different<br />

products do to human health or the<br />

environment. Therefore the LCA community<br />

has taken up the water footprint concept in<br />

a slightly modified way in order to address<br />

the recognised deficit of quantitative volumeoriented<br />

water resource assessments, whilst<br />

maintaining consistency with the wider LCA<br />

concept.<br />

As shown in Figure 4.6 there are many impact<br />

assessment methods in LCA. They all model<br />

different cause-effect-chains to assess the<br />

consequences of water consumption (or use)<br />

on human health, ecosystems, and resources<br />

instead of focusing on the aggregation of<br />

volumes only. A review of methods can be found<br />

in Berger and Finkbeiner (2010). An on-going<br />

ISO process has been set up to discuss, in a<br />

wider community, the possibilities of integrating<br />

WF definitions into the conceptual structure of<br />

LCA and translating the original WF into LCA<br />

calculations by adding a weighting factor.<br />

However, expanding the original water<br />

footprint concept from just water quantitative<br />

management into a combination of quantitative<br />

and qualitative assessment provides a more<br />

complex picture, but loses the simplicity of the<br />

awareness-raising tool, which the original WFA<br />

method set out to be.<br />

This process and the widening of the concept<br />

is reflected in a recent update of the Water<br />

Footprint Assessment Manual (Hoekstra et<br />

al., 2011).<br />

67

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!