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

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

• do not express absolute availability, a ratio<br />

of 1:10 or 10:100 or 100:1 000 would always<br />

result in 0.1;<br />

• do not consider sensitivity to additional<br />

water use - adding 1 unit of use to a 1:10<br />

situation would double the withdrawal-toavailability<br />

to 0.2, but leave it essentially<br />

unchanged if the ratio were 100:1 000;<br />

• consist of two dimensions: use and<br />

availability. As a result, countries in, for<br />

example, the arid Sahel region are not<br />

regarded as critical because if withdrawal<br />

is zero, the withdrawal-to-availability will<br />

also be zero.<br />

Rijbersman (2006) has argued that the criticality<br />

ratio and similar indicators are flawed in that:<br />

• data on water resource availability do not<br />

take into account how much could be made<br />

available for human use;<br />

• water withdrawal data do not take into<br />

account how much is used consumptively<br />

(or evapotranspired) and how much could be<br />

available for recycling, through return flows;<br />

• the indicators do not take into account a<br />

society’s capacity to adapt to cope with<br />

stress.<br />

The International Water Management Institute<br />

(IWMI) attempted to overcome all three<br />

problems. Its analysis takes into account the<br />

share of the renewable water resource available<br />

for human needs (accounting for existing water<br />

infrastructure) - the primary water supply. The<br />

analysis of demand is based on consumptive<br />

use (including evapotranspiration) and the<br />

remainder of water withdrawn is accounted for<br />

as return flows. The future adaptive capacity<br />

of each country was assessed for the period<br />

2000–2025, considering potential development<br />

of infrastructure and an increase in irrigation<br />

efficiency through improved water-management<br />

policies. Countries that will not be able to meet<br />

the estimated water demands in 2025, even<br />

after accounting for future adaptive capacity,<br />

are described as ‘physically water-scarce’.<br />

Countries that have sufficient renewable<br />

resources but would need to make very<br />

significant investments in water infrastructure<br />

to make these resources available are defined<br />

as ‘economically water-scarce’.<br />

This model is appealing; it makes some<br />

allowance for infrastructure so is more realistic<br />

than assessing physical scarcity alone, and the<br />

resulting map is widely referenced. However,<br />

a disadvantage is its complexity, as it is not<br />

intuitive, and hence relatively inaccessible to<br />

the wider public. The method also relies on<br />

considerable expert judgement because data<br />

are not available to assess all components of<br />

the indicators. While the IWMI water scarcity<br />

map is frequently cited, the more complex<br />

definitions of scarcity are not used by other<br />

authors or in other analyses. Furthermore, it<br />

does not provide an indication of water resource<br />

vulnerability (environmental impacts) but<br />

focuses on water stress for humans.<br />

4.3.3 Indices incorporating environmental<br />

water requirements<br />

Sullivan’s water poverty index (2003) aims to<br />

convey both the physical availability of water<br />

and the degree to which that water serves<br />

humans and maintains ecological integrity. The<br />

index clusters components in five dimensions:<br />

access to water; water quantity, quality and<br />

variability; water uses for domestic, food<br />

and productive purposes; capacity for water<br />

management; and environmental aspects.<br />

An advantage of this indicator is its<br />

comprehensiveness. Disadvantages are its<br />

complexity, its difficulty to grasp intuitively<br />

and the fact that it is not available at a<br />

high, more detailed, spatial resolution. The<br />

indicator represents an average of many<br />

different elements so that counties that would<br />

be expected to differ significantly can have<br />

a similar water poverty index. The relative<br />

weighting of respective variables also strongly<br />

influences the index values.<br />

The Smakhtin water stress index (WSI)<br />

(Smakhtin, 2004) is applied using the<br />

WaterGAP model and represents a modification<br />

of Alcamo’s earlier index to incorporate<br />

environmental flows. Alcamo considered the<br />

56

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

Saved successfully!

Ooh no, something went wrong!