In my previous post I loosely defined
water scarcity as a function of supply and demand. However, to actually
determine who is and isn’t water scarce we must quantitatively define and measure these. This is no easy task and has led to much contention (Damkjaer & Taylor 2017).
Fig. 1 The same conceptual diagram from my first post showing
water scarcity as a function of supply and demand (created by me for this
blog). This post investigates how we quantify these concepts.
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The Water Stress Index (WSI)
This was the first metric established to
quantitatively measure water scarcity. It was developed by Malin Falkenmark in 1989 to investigate the link between water scarcity and famine in Sudan
in the 1980s and has since become the most widely used water scarcity metric in
the world. According to Falkenmark…
- Water supply is defined as mean annual river runoff (MARR).
- Water demand is defined as 1700m3 of water/person/year (for domestic, agricultural and industrial use).
The WSI refers to the annual national balance
between supply and demand (calculated using the equation below). Countries are then categorized according to their WSI value (shown in the table below).
Fig. 2 The equation used to calculate the WSI
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Fig. 3 Water stress categories that are assigned to countries according
to their WSI value (Source: Damkjaer & Taylor, 2017)
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Is Africa water scarce?
The map below shows national WSI values for countries in Africa, using data from 2014 (Damkjaer & Taylor 2017). The pale pink countries have more than 1700 m3/capita/year and therefore are classified as ‘no stress’ (i.e. water sufficient). This map implies that contrary to common perception... the majority of Africa is actually water sufficient! However, we are constantly bombarded with news stories about how people in Africa don't have enough water to meet their basic daily needs. So what's going on? The WSI is widely used because it is so simple, both to understand and to calculate. However… is it an over-simplification? Is it really a representative metric of water scarcity?
Fig. 4 Map showing national-scale water scarcity (using data from 2014) as defined by the WSI and therefore based entirely on MARR (Source: Damkjaer & Taylor 2017) |
Firstly, it is based solely on river runoff. It does not
account for other important sources of freshwater such as groundwater (all
water flows and stores below the ground surface) and green water (all water
stored in plants or in the soil). Despite the fact that 30.1% of the world's freshwater is groundwater and only 1.3% is surface water (Shiklomanov, 1993).
Fig. 5: Diagram showing the global distribution of freshwater, divided into surface water, groundwater and glaciers & ice caps (Graphics: IX Power Art Department;Data: Shiklomanov, 1993). |
Secondly, it is based on mean annual river runoff, therefore does not account for any temporal variation in supply, both within and between years. For example, in countries with seasonal climates, water surpluses during the wet season may mask significant water shortages during the dry season.
Thirdly, it does not consider water quality. Just because water is available does not mean it is fit for use (particularly for domestic and agricultural purposes).
Fig. 7 Polluted Fen River, China (Source: National Geographic) |
Finally, it equates water supply with water availability, with little to no regard for water accessibility. In fact, there is no statistically significant relationship between freshwater availability and freshwater access (Damkjaer & Taylor 2017).
Problems with the WSI definition of DEMAND:
The WSI assumes water demand is fixed and universal. Yet in reality, water demand varies hugely across the world, largely due to climate and level of development. Warmer climates and wealthier people tend to ‘require’ more water. Therefore, perhaps a single water requirement value for everyone in the world is unrepresentative. Maybe we should have different water requirement values for different regions... but where do you draw the line between how much water people want and how much water people need? People living in central Africa only use 2% of the amount of water used by those living in North America, but how much of this is due to actual differences in need? Do we need a perfect green lawn, a swimming pool in our backyard or a bath every day?
The WSI assumes water demand is fixed and universal. Yet in reality, water demand varies hugely across the world, largely due to climate and level of development. Warmer climates and wealthier people tend to ‘require’ more water. Therefore, perhaps a single water requirement value for everyone in the world is unrepresentative. Maybe we should have different water requirement values for different regions... but where do you draw the line between how much water people want and how much water people need? People living in central Africa only use 2% of the amount of water used by those living in North America, but how much of this is due to actual differences in need? Do we need a perfect green lawn, a swimming pool in our backyard or a bath every day?
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The shortcomings of the WSI have been recognised and there have been numerous efforts to design more representative indicators (Damkjaer & Taylor 2017). However, I shall not be going into detail about these. My next post further explores the WSI misrepresentation of water supply and tries to determine whether or not Africa is actually water scarce.
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