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LCA Food 2012 in Saint Malo, France! - Manifestations et colloques ...

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PARALLEL SESSION 1A: WATER FOOTPRINT 8 th Int. Conference on <strong>LCA</strong> <strong>in</strong> the<br />

Agri-<strong>Food</strong> Sector, 1-4 Oct <strong>2012</strong><br />

ods, address<strong>in</strong>g major issues related to water use <strong>in</strong> Life Cycle Assessment (<strong>LCA</strong>). An up-to-date and exhaustive<br />

scheme can be sent upon request, <strong>in</strong>clud<strong>in</strong>g all <strong>in</strong>ventories flows, characterisation factor m<strong>et</strong>hods,<br />

<strong>et</strong>c.<br />

Water is withdrawn, either <strong>in</strong> the form of surface water or renewable groundwater, and used for various<br />

purposes such as crop irrigation. In this study, this is represented as water “<strong>in</strong>put”. On the other hand, “outputs”<br />

may be represented as surface and/or renewable groundwater that are released unaffected or as water<br />

consumed (or dissipated) by evaporation or <strong>in</strong>corporation <strong>in</strong>to the product or another watershed. Depend<strong>in</strong>g<br />

on the type of water, different impact m<strong>et</strong>hods are applied <strong>in</strong> order to evaluate the stress on human health,<br />

ecosystem quality, and resources for future generations (see Figure 1). In addition, a simplified water stress<br />

assessment is performed by weight<strong>in</strong>g the water <strong>in</strong>ventory by a water stress <strong>in</strong>dex, represented <strong>in</strong> m3 equivalent,<br />

which is used for assess<strong>in</strong>g the comp<strong>et</strong>ition for water.<br />

Figure 1. General framework for water use impact assessment for feed production and on farm water use<br />

(grey water is not <strong>in</strong>cluded <strong>in</strong> the water use part of the study).<br />

The simplified water stress assessment applies Pfister’s water stress <strong>in</strong>dex (Pfister <strong>et</strong> al., 2009) which is<br />

used to assess the comp<strong>et</strong>ition for water as a function of withdrawal to availability. The Water Stress Index<br />

(WSI) <strong>in</strong>dicates the portion of water consumed by different users (i.e. <strong>in</strong>dustry, agriculture and households)<br />

that deprives others of freshwater. In this study, the level of resolution used is at state level. Therefore, water<br />

consumed is multiplied by a water stress <strong>in</strong>dex and the result is expressed as litres of water “<strong>in</strong> comp<strong>et</strong>ition”<br />

or “deprived”, as shown <strong>in</strong> the Equation 1:<br />

52<br />

Water <strong>in</strong> comp<strong>et</strong>ition= 0 . 05WSI<br />

LCI WSI<br />

Eq. 1<br />

LCI withdrawal blue,<br />

consumed<br />

The WSI varies widely across the United States and is related to precipitation, as well as water use and<br />

availability. State level data were provided by Pfister (Pfister <strong>et</strong> al., 2009) and were calculated by weight<strong>in</strong>g<br />

the values at the watershed level by the area and water withdrawal of each state.<br />

2.2. Description of the life cycle data<br />

For a water use impact assessment of milk production <strong>in</strong> the U.S. it is important to take <strong>in</strong>to account the location<br />

of the feed production as water use impact can vary significantly across the country. The crop type, the<br />

irrigation requirements and the type of water used (e.g. groundwater withdrawal vs. surface water withdrawal)<br />

are all important factors to consider when evaluat<strong>in</strong>g water impacts. In order to model the crops, the<br />

average rations <strong>in</strong> terms of amount of crops consumed per cow are used. Crops are all assumed to be obta<strong>in</strong>ed<br />

from with<strong>in</strong> the United States and are separated <strong>in</strong>to four different types:<br />

Commodity crops (e.g. corn gra<strong>in</strong> and soybean): assumed to come from anywhere <strong>in</strong> the country,<br />

custom model<strong>in</strong>g based on literature data (Fru<strong>in</strong> <strong>et</strong> al., 1989; Larson <strong>et</strong> al., 1990)

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