ArticlePDF Available

Water Footprints of Nations: Water Use by People as a Function of Their Consumption Pattern

Authors:

Abstract and Figures

The water footprint shows the extent of water use in relation to consumption of people. The water footprint of a country is defined as the volume of water needed for the production of the goods and services consumed by the inhabitants of the country. The internal water footprint is the volume of water used from domestic water resources; the external water footprint is the volume of water used in other countries to produce goods and services imported and consumed by the inhabitants of the country. The study calculates the water footprint for each nation of the world for the period 1997–2001. The USA appears to have an average water footprint of 2480m3/cap/yr, while China has an average footprint of 700m3/cap/yr. The global average water footprint is 1240m3/cap/yr. The four major direct factors determining the water footprint of a country are: volume of consumption (related to the gross national income); consumption pattern (e.g. high versus low meat consumption); climate (growth conditions); and agricultural practice (water use efficiency).
Content may be subject to copyright.
Water Resour Manage (2007) 21:35–48
DOI 10.1007/s11269-006-9039-x
ORIGINAL ARTICLE
Water footprints of nations: Water use by people as a
function of their consumption pattern
A. Y. Hoekstra ·A. K. Chapagain
Received: 18 January 2005 / Accepted: 12 October 2005
C
Springer Science +Business Media B.V. 2006
Abstract The water footprint shows the extent of water use in relation to consumption
of people. The water footprint of a country is defined as the volume of water needed for
the production of the goods and services consumed by the inhabitants of the country. The
internal water footprint is the volume of water used from domestic water resources; the
external water footprint is the volume of water used in other countries to produce goods and
services imported and consumed by the inhabitants of the country. The study calculates the
water footprint for each nation of the world for the period 1997–2001. The USA appears to
have an average water footprint of 2480 m3/cap/yr, while China has an average footprint of
700 m3/cap/yr. The global average water footprint is 1240 m3/cap/yr. The four major direct
factors determining the water footprint of a country are: volume of consumption (related to
the gross national income); consumption pattern (e.g. high versus low meat consumption);
climate (growth conditions); and agricultural practice (water use efficiency).
Keywords Water footprint .Consumption .Virtual water .Indicators .Water use
efficiency .External water dependency
Introduction
Databases on water use traditionally show three columns of water use: water withdrawals
in the domestic, agricultural and industrial sector respectively (Gleick, 1993; Shiklomanov,
2000; FAO, 2003). A water expert being asked to assess the water demand in a particular
country will generally add the water withdrawals for the different sectors of the economy.
Although useful information, this does not tell much about the water actually needed by the
people in the country in relation to their consumption pattern. The fact is that many goods
A. Y. Hoekstra ()
University of Twente, Enschede, The Netherlands
e-mail: a.y.hoekstra@utwente.nl
A. K. Chapagain
UNESCO-IHE, Delft, The Netherlands
Springer
36 Water Resour Manage (2007) 21:35–48
consumed by the inhabitants of a country are produced in other countries, which means that it
can happen that the real water demand of a population is much higher than the national water
withdrawals do suggest. The reverse can be the case as well: national water withdrawals
are substantial, but a large amount of the products are being exported for consumption
elsewhere.
In 2002, the water footprint concept was introduced in order to have a consumption-
based indicator of water use that could provide useful information in addition to the tra-
ditional production-sector-based indicators of water use (Hoekstra and Hung, 2002). The
water footprint of a nation is defined as the total volume of freshwater that is used to pro-
duce the goods and services consumed by the people of the nation. Since not all goods
consumed in one particular country are produced in that country, the water footprint consists
of two parts: use of domestic water resources and use of water outside the borders of the
country.
The water footprint has been developed in analogy to the ecological footprint concept
as was introduced in the 1990s (Rees, 1992; Wackernagel and Rees, 1996; Wackernagel
et al., 1997). The ‘ecological footprint’ of a population represents the area of productive
land and aquatic ecosystems required to produce the resources used, and to assimilate the
wastes produced, by a certain population at a specified material standard of living, wherever
on earth that land may be located. Whereas the ‘ecological footprint’ thus quantifies the area
needed to sustain people’s living, the ‘water footprint’ indicates the water required to sustain
a population.
The water footprint concept is closely linked to the virtual water concept. Virtual water
is defined as the volume of water required to produce a commodity or service. The concept
was introduced by Allan in the early 1990s (Allan, 1993, 1994) when studying the option
of importing virtual water (as opposed to real water) as a partial solution to problems of
water scarcity in the Middle East. Allan elaborated on the idea of using virtual water import
(coming along with food imports) as a tool to release the pressure on the scarcely available
domestic water resources. Virtual water import thus becomes an alternative water source,
next to endogenous water sources. Imported virtual water has therefore also been called
‘exogenous water’ (Haddadin, 2003).
When assessing the water footprint of a nation, it is essential to quantify the flows of virtual
water leaving and entering the country. If one takes the use of domestic water resources as
a starting point for the assessment of a nation’s water footprint, one should subtract the
virtual water flows that leave the country and add the virtual water flows that enter the
country.
The objective of this study is to assess and analyse the water footprints of nations. The study
builds on two earlier studies. Hoekstra and Hung (2002, 2005) have quantified the virtual
water flows related to the international trade of crop products. Chapagain and Hoekstra (2003)
have done a similar study for livestock and livestock products. The concerned time period in
these two studies is 1995–1999. The present study takes the period of 1997–2001 and refines
the earlier studies by making a number of improvements and extensions.
Method
A nation’s water footprint has two components, the internal and the external water footprint.
The internal water footprint (IWFP) is defined as the use of domestic water resources to
produce goods and services consumed by inhabitants of the country. It is the sum of the total
water volume used from the domestic water resources in the national economy minus the
Springer
Water Resour Manage (2007) 21:35–48 37
volume of virtual water export to other countries insofar related to export of domestically
produced products:
IWFP =AWU +IWW +DWW VWEdom (1)
Here, AWU is the agricultural water use, taken equal to the evaporative water demand of
the crops; IWW and DWW are the water withdrawals in the industrial and domestic sectors
respectively; and VWEdom is the virtual water export to other countries insofar related to
export of domestically produced products. The agricultural water use includes both effective
rainfall (the portion of the total precipitation which is retained by the soil and used for crop
production) and the part of irrigation water used effectively for crop production. Here we do
not include irrigation losses in the term of agricultural water use assuming that they largely
return to the resource base and thus can be reused.
The external water footprint of a country (EWFP) is defined as the annual volume of water
resources used in other countries to produce goods and services consumed by the inhabitants
of the country concerned. It is equal to the so-called virtual water import into the country
minus the volume of virtual water exported to other countries as a result of re-export of
imported products.
EWFP =VWI VWEreexport (2)
Both the internal and the external water footprint include the use of blue water (ground and
surface water) and the use of green water (moisture stored in soil strata).
The use of domestic water resources comprises water use in the agricultural, industrial and
domestic sectors. For the latter two sectors we have used data from AQUASTAT (FAO, 2003).
Though significant fractions of domestic and industrial water withdrawals do not evaporate
but return to either the groundwater or surface water system, these return flows are generally
polluted, so that they have been included in the water footprint calculations. The total volume
of water use in the agricultural sector has been calculated in this study based on the total
volume of crop produced and its corresponding virtual water content. For the calculation of
the virtual water content of crop and livestock products we have used the methodology as
described in Chapagain and Hoekstra (2004). In summary, the virtual water content (m3/ton)
of primary crops has been calculated based on crop water requirements and yields. Crop water
requirement have been calculated per crop and per country using the methodology developed
by FAO (Allen et al., 1998). The virtual water content of crop products is calculated based on
product fractions (ton of crop product obtained per ton of primary crop) and value fractions
(the market value of one crop product divided by the aggregated market value of all crop
products derived from one primary crop). The virtual water content (m3/ton) of live animals
has been calculated based on the virtual water content of their feed and the volumes of
drinking and service water consumed during their lifetime. We have calculated the virtual
water content for eight major animal categories: beef cattle, dairy cows, swine, sheep, goats,
fowls/poultry (meat purpose), laying hens and horses. The calculation of the virtual water
content of livestock products is again based on product fractions and value fractions.
Virtual water flows between nations have been calculated by multiplying commodity trade
flows by their associated virtual water content:
VWF[ne,ni,c]=CT[ne,ni,c]×VWC[ne,c] (3)
Springer
38 Water Resour Manage (2007) 21:35–48
in which VWF denotes the virtual water flow (m3yr1) from exporting country neto importing
country nias a result of trade in commodity c;CT the commodity trade (ton yr1) from the
exporting to the importing country; and VWC the virtual water content (m3ton1)ofthe
commodity, which is defined as the volume of water required to produce the commodity in
the exporting country. We have taken into account the trade between 243 countries for which
international trade data are available in the Personal Computer Trade Analysis System of the
International Trade Centre, produced in collaboration with UNCTAD/WTO. It covers trade
data from 146 reporting countries disaggregated by product and partner countries (ITC, 2004).
We have carried out calculations for 285 crop products and 123 livestock products. The virtual
water content of an industrial product can be calculated in a similar way as described earlier
for agricultural products. There are however numerous categories of industrial products with
a diverse range of production methods and detailed standardised national statistics related to
the production and consumption of industrial products are hard to find. As the global volume
of water used in the industrial sector is only 716 Gm3/yr (10% of total global water use),
we have per country simply calculated an average virtual water content per dollar added
value in the industrial sector (m3/US$) as the ratio of the industrial water withdrawal (m3/yr)
in a country to the total added value of the industrial sector (US$ /yr), which is a component
of the Gross Domestic Product.
Water needs by product
The total volume of water used globally for crop production is 6390 Gm3/yr at field level. Rice
has the largest share in the total volume water used for global crop production. It consumes
about 1359 Gm3/yr, which is about 21% of the total volume of water used for crop production
at field level. The second largest water consumer is wheat (12%). The contribution of some
major crops to the global water footprint insofar related to food consumption is presented in
Figure 1. Although the total volume of the world rice production is about equal to the wheat
production, rice consumes much more water per ton of production. The difference is due
Cassava
2%
Natural Rubber
1%
Oil Palm Fruit
2%
Groundnuts in Shell
2%
Rice, Paddy
21%
Other
37%
Other minor crops
26%
Potatoes
1%
Cocoa Beans
1%Wheat
12%
Maize
9%
Soybeans
4%
Sugar Cane
3%
Seed Cotton
3%
Barley
3% Sorghum
3% Coconuts
2%
Millet
2%
Coffee, Green
2%
Fig. 1 Contribution of different crops to the global water footprint
Springer
Water Resour Manage (2007) 21:35–48 39
to the higher evaporative demand for rice production. As a result, the global average virtual
water content of rice (paddy) is 2291 m3/ton and for wheat 1334 m3/ton.
The virtual water content of rice (broken) that a consumer buys in the shop is about
3420 m3/ton. This is larger than the virtual water content of paddy rice as harvested from the
field because of the weight loss if paddy rice is processed into broken rice. The virtual water
content of some selected crop and livestock products for a number of selected countries are
presented in Table 1.
In general, livestock products have a higher virtual water content than crop products. This
is because a live animal consumes a lot of feed crops, drinking water and service water in its
lifetime before it produces some output. We consider here an example of beef produced in an
industrial farming system. It takes in average 3 years before it is slaughtered to produce about
200 kg of boneless beef. It consumes nearly 1300kg of grains (wheat, oats, barley, corn, dry
peas, soybean meal and other small grains), 7200 kg of roughages (pasture, dry hay, silage
and other roughages), 24 cubic meter of water for drinking and 7 cubic meter of water for
servicing. This means that to produce one kilogram of boneless beef, we use about 6.5 kg of
grain, 36 kg of roughages, and 155 l of water (only for drinking and servicing). Producing the
volume of feed requires about 15340 l of water in average. With every step of food processing
we loose part of the material as a result of selection and inefficiencies. The higher we go up
in the product chain, the higher will be the virtual water content of the product. For example,
the global average virtual water content of maize, wheat and rice (husked) is 900, 1300 and
3000 m3/ton respectively, whereas the virtual water content of chicken meat, pork and beef
is 3900, 4900 and 15500 m3/ton respectively. However, the virtual water content of products
strongly varies from place to place, depending upon the climate, technology adopted for
farming and corresponding yields.
The units used so far to express the virtual water content of various products are in terms
of cubic meters of water per ton of the product. A consumer might be more interested to
know how much water it consumes per unit of consumption. One cup of coffee requires
for instance 140 l of water in average, one hamburger 2400 l and one cotton T-shirt 2000l
(Table 2).
The global average virtual water content of industrial products is 80l per US$ . In the
USA, industrial products take nearly 100 l per US$ . In Germany and the Netherlands, average
virtual water content of industrial products is about 50 l per US$ . Industrial products from
Japan, Australia and Canada take only 10–15 l per US$ . In world’s largest developing nations,
China and India, the average virtual water content of industrial products is 20–25l per US$ .
Water footprints of nations
The global water footprint is 7450 Gm3/yr, which is 1240 m3/cap/yr in average. In absolute
terms, India is the country with the largest footprint in the world, with a total footprint of
987 Gm3/yr. However, while India contributes 17% to the global population, the people in
India contribute only 13% to the global water footprint. On a relative basis, it is the people
of the USA that have the largest water footprint, with 2480m3/yr per capita, followed by
the people in south European countries such as Greece, Italy and Spain (2300–2400 m3/yr
per capita). High water footprints can also be found in Malaysia and Thailand. At the other
side of the scale, the Chinese people have a relatively low water footprint with an average of
700 m3/yr per capita. The average per capita water footprints of nations are shown in Figure 2.
The data are shown in Table 3 for a few selected countries.
Springer
40 Water Resour Manage (2007) 21:35–48
Table 1 Average virtual water content of some selected products for a number of selected countries (m3/ton)
USA China India Russia Indonesia Australia Brazil Japan Mexico Italy Netherlands World average
Rice (paddy) 1275 1321 2850 2401 2150 1022 3082 1221 2182 1679 2291
Rice (husked) 1656 1716 3702 3118 2793 1327 4003 1586 2834 2180 2975
Rice (broken) 1903 1972 4254 3584 3209 1525 4600 1822 3257 2506 3419
Wheat 849 690 1654 2375 1588 1616 734 1066 2421 619 1334
Maize 489 801 1937 1397 1285 744 1180 1493 1744 530 408 909
Soybeans 1869 2617 4124 3933 2030 2106 1076 2326 3177 1506 1789
Sugar cane 103 117 159 164 141 155 120 171 175
Cotton seed 2535 1419 8264 4453 1887 2777 2127 3644
Cotton lint 5733 3210 18694 10072 4268 6281 4812 8242
Barley 702 848 1966 2359 1425 1373 697 2120 1822 718 1388
Sorghum 782 863 4053 2382 1081 1609 1212 582 2853
Coconuts 749 2255 2071 1590 1954 2545
Millet 2143 1863 3269 2892 1951 3100 4534 4596
Coffee (green) 4864 6290 12180 17665 13972 28119 17373
Coffee (roasted) 5790 7488 14500 21030 16633 33475 20682
Tea (made) 11110 7002 3002 9474 6592 4940 9205
Beef 13193 12560 16482 21028 14818 17112 16961 11019 37762 21167 11681 15497
Pork 3946 2211 4397 6947 3938 5909 4818 4962 6559 6377 3790 4856
Goat meat 3082 3994 5187 5290 4543 3839 4175 2560 10252 4180 2791 4043
Sheep meat 5977 5202 6692 7621 5956 6947 6267 3571 16878 7572 5298 6143
Chicken meat 2389 3652 7736 5763 5549 2914 3913 2977 5013 2198 2222 3918
Eggs 1510 3550 7531 4919 5400 1844 3337 1884 4277 1389 1404 3340
Milk 695 1000 1369 1345 1143 915 1001 812 2382 861 641 990
Milk powder 3234 4648 6368 6253 5317 4255 4654 3774 11077 4005 2982 4602
Cheese 3457 4963 6793 6671 5675 4544 4969 4032 11805 4278 3190 4914
Leather (bovine) 14190 13513 17710 22575 15929 18384 18222 11864 40482 22724 12572 16656
For the primary crops, world averages have been calculated as the ratio of the global water use for the production of a crop to the global production
volume. For processed products, the global averages have been calculated as the ratio of the global virtual water trade volume to the global product trade
volume.
Springer
Water Resour Manage (2007) 21:35–48 41
Table 2 Global average virtual water content of some selected products, per unit of product
Product Virtual water content (litres)
1 glass of beer (250 ml) 75
1 glass of milk (200 ml) 200
1 cup of coffee (125 ml) 140
1 cup of tea (250 ml) 35
1 slice of bread (30 g) 40
1 slice of bread (30 g) with cheese(10g) 90
1 potato (100 g) 25
1 apple (100 g) 70
1 cotton T-shirt (250g) 2000
1 sheet of A4-paper (80 g/m2)10
1 glass of wine (125 ml) 120
1 glass of apple juice (200 ml) 190
1 glass of orange juice (200 ml) 170
1 bag of potato crisps (200 g) 185
1 egg (40 g) 135
1 hamburger (150 g) 2400
1 tomato (70 g) 13
1 orange (100 g) 50
1 pair of shoes (bovine leather) 8000
1 microchip (2 g) 32
Fig. 2 Averagenational water footprint per capita (m3/capita/yr). Green means that the nation’s water footprint
is equal to or smaller than global average. Countries with red have a water footprint beyond the global average
The size of the global water footprint is largely determined by the consumption of food
and other agricultural products (Figure 3). The estimated contribution of agriculture to the
total water use (6390 Gm3/yr) is even bigger than suggested by earlier statistics due to the
inclusion of green water use (use of soil water). If we include irrigation losses, which globally
add up to about 1590 Gm3/yr (Chapagain and Hoekstra, 2004), the total volume of water used
in agriculture becomes 7980 Gm3/yr. About one third of this amount is blue water withdrawn
for irrigation; the remaining two thirds is green water (soil water).
The four major direct factors determining the water footprint of a country are: volume of
consumption (related to the gross national income); consumption pattern (e.g. high versus
Springer
42 Water Resour Manage (2007) 21:35–48
Table 3 Composition of the water footprint for some selected countries. Period: 1997–2001
Use of domestic water resources Use of foreign water resources Water footprint by consumption category
Agricultural goods Industrial goods
Crop evapotranspirationIndustrial water withdrawal For national consumption Domestic water
Domestic For re-export Water footprint Internal Internal External Internal External
water For national For national Agricultural Industrial of imported water water water water water
withdrawal consumption For export consumption For export goods goods products Total Per capita footprint footprint footprint footprint footprint
Country Population (Gm3/yr) (Gm3/yr) (Gm3/yr) (Gm3/yr) (Gm3/yr) (Gm3/yr) (Gm3/yr) (Gm3/yr) (Gm3/yr) (m3/cap/yr) (m3/cap/yr) (m3/cap/yr) (m3/cap/yr) (m3/cap/yr) (m3/cap/yr)
Australia 19071705 6.51 14.03 68.67 1.229 0.12 0.78 4.02 4.21 26.56 1393 341 736 41 64 211
Bangladesh 129942975 2.12 109.98 1.38 0.344 0.08 3.71 0.34 0.13 116.49 896 16 846 29 3 3
Brazil 169109675 11.76 195.29 61.01 8.666 1.63 14.76 3.11 5.20 233.59 1381 70 1155 87 51 18
Canada 30649675 8.55 30.22 52.34 11.211 20.36 7.74 5.07 22.62 62.80 2049 279 986 252 366 166
China 1257521250 33.32 711.10 21.55 81.531 45.73 49.99 7.45 5.69 883.39 702 26 565 40 65 6
Egypt 63375735 4.16 45.78 1.55 6.423 0.66 12.49 0.64 0.49 69.50 1097 66 722 197 101 10
France 58775400 6.16 47.84 34.63 15.094 12.80 30.40 10.69 31.07 110.19 1875 105 814 517 257 182
Germany 82169250 5.45 35.64 18.84 18.771 13.15 49.59 17.50 38.48 126.95 1545 66 434 604 228 213
India 1007369125 38.62 913.70 35.29 19.065 6.04 13.75 2.24 1.24 987.38 980 38 907 14 19 2
Indonesia 204920450 5.67 236.22 22.62 0.404 0.06 26.09 1.58 2.74 269.96 1317 28 1153 127 2 8
Italy 57718000 7.97 47.82 12.35 10.133 5.60 59.97 8.69 20.29 134.59 2332 138 829 1039 176 151
Japan 126741225 17.20 20.97 0.40 13.702 2.10 77.84 16.38 4.01 146.09 1153 136 165 614 108 129
Jordan 4813708 0.21 1.45 0.07 0.035 0.00 4.37 0.21 0.22 6.27 1303 44 301 908 7 43
Mexico 97291745 13.55 81.48 12.26 2.998 1.13 35.09 7.05 7.94 140.16 1441 139 837 361 31 72
Netherlands 15865250 0.44 0.50 2.51 2.562 2.20 9.30 6.61 52.84 19.40 1223 28 31 586 161 417
Pakistan 136475525 2.88 152.75 7.57 1.706 1.28 8.55 0.33 0.67 166.22 1218 21 1119 63 12 2
Russia 145878750 14.34 201.26 8.96 13.251 34.83 41.33 0.80 3.94 270.98 1858 98 1380 283 91 5
South Africa 42387403 2.43 27.32 6.05 1.123 0.40 7.18 1.42 2.10 39.47 931 57 644 169 26 33
Thailand 60487800 1.83 120.17 38.49 1.239 0.55 8.73 2.49 3.90 134.46 2223 30 1987 144 20 41
United Kingdom 58669403 2.21 12.79 3.38 6.673 1.46 34.73 16.67 12.83 73.07 1245 38 218 592 114 284
USA 280343325 60.80 334.24 138.96 170.777 44.72 74.91 55.29 45.62 696.01 2483 217 1192 267 609 197
Global total/avg. 5994251631 344 5434 957 476 240 957 240 427 7452 1243 57 907 160 79 40
Includes both blue and green water use in agriculture
Springer
Water Resour Manage (2007) 21:35–48 43
Domestic water c onsumption
5%
Industrial products
6%
Agricultur al products
73%
External water footprint
16 %
Industrial pro ducts
3%
Agricultural products
13%
Internal water footprint
84.0%
Fig. 3 Contribution of different consumption categories to the global water footprint, with a distinction
between the internal and external footprint
low meat consumption); climate (growth conditions); and agricultural practice (water use
efficiency). In rich countries, people generally consume more goods and services, which
immediately translates into increased water footprints. But it is not consumption volume
alone that determines the water demand of people. The composition of the consumption
package is relevant too, because some goods in particular require a lot of water (bovine meat,
rice). In many poor countries it is a combination of unfavourable climatic conditions (high
evaporative demand) and bad agricultural practice (resulting in low water productivity) that
contributes to a high water footprint. Underlying factors that contribute to bad agricultural
practice and thus high water footprints are the lack of proper water pricing, the presence
of subsidies, the use of water inefficient technology and lack of awareness of simple water
saving measures among farmers.
The influence of the various determinants varies from country to country. The water
footprint of the USA is high (2480 m3/cap/yr) partly because of large meat consumption per
capita and high consumption of industrial products. The water footprint of Iran is relatively
high (1624 m3/cap/yr) partly because of low yields in crop production and partly because
of high evapotranspiration. In the USA the industrial component of the water footprint is
806 m3/cap/yr whereas in Iran it is only 24 m3/cap/yr.
The aggregated external water footprints of nations in the world constitute 16% of the
total global water footprint (Figure 3). However, the share of the external water footprint
strongly varies from country to country. Some African countries, such as Sudan, Mali, Nigeria,
Ethiopia, Malawi and Chad have hardly any external water footprint, simply because they
have little import. Some European countries on the other hand, e.g. Italy, Germany, the UK
and the Netherlands have external water footprints contributing 50–80% to the total water
footprint. The agricultural products that contribute most to the external water footprints of
nations are: bovine meat, soybean, wheat, cocoa, rice, cotton and maize.
Eight countries India, China, the USA, the Russian Federation, Indonesia, Nigeria,
Brazil and Pakistan together contribute fifty percent to the total global water footprint.
India (13%), China (12%) and the USA (9%) are the largest consumers of the global water
resources (Figure 4).
Both the size of the national water footprint and its composition differs between countries
(Figure 5). On the one end we see China with a relatively low water footprint per capita, and on
Springer
44 Water Resour Manage (2007) 21:35–48
Mexico
2%
Thailand
2%
Other
44%
Other
58%
Japan
2%
Pakistan
2%
Brazil
3%
Nigeria
3%
Indonesia
4%
Russian Federation
4%
USA
9%
China
12%
Indi a
13%
Fig. 4 Contribution of major consumers to the global water footprint
0
500
1000
1500
2000
2500
3000
anihC
aidnI
napaJ
natsikaP
aisenodnI
lizarB
oci
x
eM
aissuR
airegiN
dnaliahT
ylatI
ASU
m( tnirptoof retaW 3)ry/pac/
Domestic water consumption Industrial goods Agricultural goods
Fig. 5 The national water footprint per capita and the contribution of different consumption categories for
some selected countries
the other end the USA. In the rich countries consumption of industrial goods has a relatively
large contribution to the total water footprint if compared with developing countries. The
water footprints of the USA, China, India and Japan are presented in more detail in Figure 6.
The contribution of the external water footprint to the total water footprint is very large in
Japan if compared to the other three countries. The consumption of industrial goods very
significantly contributes to the total water footprint of the USA (32%), but not in India
(2%).
Conclusion
The global water footprint is 7450 Gm3/yr, which is in average 1240 m3/cap/yr. The differ-
ences between countries are large: the USA has an average water footprint of 2480m3/cap/yr
whereas China has an average water footprint of 700m3/cap/yr. There are four most im-
portant direct factors explaining high water footprints. A first factor is the total volume of
Springer
Water Resour Manage (2007) 21:35–48 45
Fig. 6 Details of the water footprints of the USA, China India and Japan. Period: 1997–2001
Springer
46 Water Resour Manage (2007) 21:35–48
consumption, which is generally related to gross national income of a country. This partially
explains the high water footprints of for instance the USA, Italy and Switzerland. A second
factor behind a high water footprint can be that people have a water-intensive consump-
tion pattern. Particularly high consumption of meat significantly contributes to a high water
footprint. This factor partially explains the high water footprints of countries such as the
USA, Canada, France, Spain, Portugal, Italy and Greece. The average meat consumption in
the United States is for instance 120 kg/yr, more than three times the world-average meat
consumption. Next to meat consumption, high consumption of industrial goods significantly
contributes to the total water footprints of rich countries. The third factor is climate. In re-
gions with a high evaporative demand, the water requirement per unit of crop production is
relatively large. This factor partially explains the high water footprints in countries such as
Senegal, Mali, Sudan, Chad, Nigeria and Syria. A fourth factor that can explain high water
footprints is water-inefficient agricultural practice, which means that water productivity in
terms of output per drop of water is relatively low. This factor partly explains the high water
footprints of countries such as Thailand, Cambodia, Turkmenistan, Sudan, Mali and Nigeria.
In Thailand for instance, rice yields averaged 2.5ton/ha in the period 1997–2001, while the
global average in the same period was 3.9ton/ha.
Reducing water footprints can be done in various ways. A first way is to break the seem-
ingly obvious link between economic growth and increased water use, for instance by adopt-
ing production techniques that require less water per unit of product. Water productivity in
agriculture can be improved for instance by applying advanced techniques of rainwater har-
vesting and supplementary irrigation. A second way of reducing water footprints is to shift
to consumptions patterns that require less water, for instance by reducing meat consumption.
However, it has been debated whether this is a feasible road to go, since the world-wide
trend has been that meat consumption increases rather than decreases. Probably a broader
and subtler approach will be needed, where consumption patterns are influenced by pricing,
awareness raising, labelling of products or introduction of other incentives that make people
change their consumption behaviour. Water costs are generally not well reflected in the price
of products due to the subsidies in the water sector. Besides, the general public is although
often aware of energy requirements hardly aware of the water requirements in producing
their goods and services.
A third method that can be used not yet broadly recognized as such is to shift production
from areas with low water-productivity to areas with high water productivity, thus increasing
global water use efficiency (Chapagain et al., 2005a). For instance, Jordan has successfully
externalised its water footprint by importing wheat and rice products from the USA, which
has higher water productivity than Jordan.
The water footprint of a nation is an indicator of water use in relation to the consumption
volume and pattern of the people. As an aggregated indicator it shows the total water require-
ment of a nation, a rough measure of the impact of human consumption on the natural water
environment. More information about the precise components and characteristics of the total
water footprint will be needed, however, before one can make a more balanced assessment
of the effects on the natural water systems. For instance, one has to look at what is blue
versus green water use, because use of blue water often affects the environment more than
green water use. Also it is relevant to consider the internal versus the external water foot-
print. Externalising the water footprint for instance means externalising the environmental
impacts. Also one has to realise that some parts of the total water footprint concern use of
water for which no alternative use is possible, while other parts relate to water that could
have been used for other purposes with higher added value. There is a difference for instance
between beef produced in extensively grazed grasslands of Botswana (use of green water
Springer
Water Resour Manage (2007) 21:35–48 47
without alternative use) and beef produced in an industrial livestock farm in the Netherlands
(partially fed with imported irrigated feed crops).
The current study has focused on the quantification of consumptive water use, i.e. the
volumes of water from groundwater, surface water and soil water that evaporate. The effect
of water pollution was accounted for to a limited extent by including the (polluted) return
flows in the domestic and industrial sector. The calculated water footprints thus consists of
two components: consumptive water use and wastewater production. The effect of pollution
has been underestimated however in the current calculations of the national water footprints,
because one cubic metre of wastewater should not count for one, because it generally pollutes
much more cubic metres of water after disposal (various authors have suggested a factor of
ten to fifty). The impact of water pollution can be better assessed by quantifying the dilution
water volumes required to dilute waste flows to such extent that the quality of the water
remains below agreed water quality standards. We have shown this in a case study for the
water footprints of nations related to cotton consumption (Chapagain et al., 2005b).
International water dependencies are substantial and are likely to increase with continued
global trade liberalisation. Today, 16% of global water use is not for producing products
for domestic consumption but for making products for export. Considering this substantial
percentage and the upward trend, we suggest that future national and regional water policy
studies should include an analysis of international or interregional virtual water flows.
References
Allan JA (1993) Fortunately there are substitutes for water otherwise our hydro-political futures would be
impossible. In: Priorities for water resources allocation and management, ODA, London, pp 13–26
Allan JA (1994) Overall perspectives on countries and regions. In: Rogers P, Lydon P (eds) Water in the Arab
World: perspectives and prognoses. Harvard University Press, Cambridge, Massachusetts, pp 65–100
Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration - Guidelines for com-
puting crop water requirements FAO Irrigation and Drainage Paper 56, FAO, Rome, Italy,
http://www.fao.org/docrep/X0490E/x0490e00.htm
Chapagain AK, Hoekstra AY (2003) Virtual water flows between nations in relation to trade in livestock and
livestock products. Value of Water Research Report Series No. 13, UNESCO-IHE, Delft, The Netherlands,
http://www.waterfootprint.org/Reports/Report13.pdf
Chapagain AK, Hoekstra AY, Savenije HHG (2005a) Saving water through global trade.
Value of Water Research Report Series No. 17, UNESCO-IHE, Delft, the Netherlands,
http://www.waterfootprint.org/Reports/Report17.pdf
Chapagain AK, Hoekstra AY, Savenije HHG, Gautam R (2005b) The water footprint of cotton
consumption. Value of Water Research Report Series No. 18, UNESCO-IHE, The Netherlands,
http://www.waterfootprint.org/Reports/Report18.pdf
Chapagain AK, Hoekstra AY (2004) Water footprints of nations. Value of Water Research Report Series No.
16, UNESCO-IHE, Delft, The Netherlands, http://www.waterfootprint.org/Reports/Report16.pdf
FAO (2003) AQUASTAT 2003. Food and Agriculture Organization of the United Nations, Rome, Italy,
ftp://ftp.fao.org/agl/aglw/aquastat/aquastat2003.xls
Gleick PH (ed) (1993) Water in crisis: A guide to the world’s fresh water resources. Oxford University Press,
Oxford, UK
Haddadin MJ (2003) Exogenous water: A conduit to globalization of water resources. In: Hoekstra
AY (ed) Virtual water trade: Proceedings of the International Expert Meeting on Virtual Water
Trade. Value of Water Research Report Series No. 12, UNESCO-IHE, Delft, The Netherlands,
http://www.waterfootprint.org/Reports/Report12.pdf
Hoekstra AY, Hung PQ (2002) Virtual water trade: A quantification of virtual water flows between nations in
relation to international crop trade. Value of Water Research Report Series No. 11, UNESCO-IHE Institute
for Water Education, Delft, The Netherlands, http://www.waterfootprint.org/Reports/Report11.pdf
Hoekstra AY, Hung PQ (2005) Globalisation of water resources: International virtual water flows in relation
to crop trade. Global Environmental Change 15(1):45–56
ITC (2004) PC-TAS version 1997–2001 in HS or SITC, CD-ROM. International Trade Centre, Geneva
Springer
48 Water Resour Manage (2007) 21:35–48
Rees WE (1992) Ecological footprints and appropriated carrying capacity: what urban economics leaves out.
Environ Urban 4(2):121–130
Shiklomanov IA (2000) Appraisal and assessment of world water resources. Water International 25(1):11–32
Wackernagel M, Onisto L, Linares AC, Falfan ISL, Garcia JM, Guerrero IS, Guerrero MGS (1997) Ecolog-
ical footprints of nations: How much nature do they use? How much nature do they have?. Centre for
Sustainability Studies, Universidad Anahuac de Xalapa, Mexico
Wackernagel M, Rees W (1996) Our ecological footprint: Reducing human impact on the Earth. New Society
Publishers, Gabriola Island, BC, Canada
Springer
... The correlation between consumption and water use forms the basis for developing new strategies in water management. Thus, final consumers, food industries, and traders, who traditionally had no expertise in studying and managing water, are now becoming major participants in water resource management, and are taking proactive roles (Hoekstra & Chapagain, 2007). ...
... As for the grey water component, each pollutant has a different maximum allowable limit, and therefore, a different volume of water is required to achieve the necessary level of dilution. For each production stage, the pollutant that requires the largest volume of dilution water is taken as an indicator of the total grey water requirements (Hoekstra & Chapagain, 2007). In determining the grey water component in agriculture, fertilizers (nitrogen, phosphorus, potassium), pesticides, and insecticides are considered, with the fertilizer component considered the most critical pollutant for which the relationship provides the maximum volume of water (Papastamkou et al., 2016). ...
... In the AquaCrop simulation of ET and Y, we distinguished different growth periods for each crop, categorizing maize into spring and summer maize, rice into early, middle, and late rice, and wheat into spring and winter wheat. Key parameters such as PD 59 , HI o [60][61][62] , crop growth stages 56,63 , maximum root depth (Z x , m) 64 , and WP *56 , were reset according to related literatures, considering different crops and cropping modes, and validated to be reliable and applicable in large-scale studies 58,65 . For each crop, we considered different cropping modes, including various irrigation techniques and rain-fed. ...
Article
Full-text available
Facing climate change risks of water shortages and crop yield losses, it is unclear in China that whether and how irrigated area expansion and technological yield improvement can increase production with less water. Here we used 2000–2018 as the baseline and simulated the grid responses of total crop water use, production, unit water footprint by cropping modes in 2030s–2090 s in 75 scenarios with considering each 5 levels of two adaptation measures under 3 climate change pathways. Compared with climate change alone, further irrigation expansion has limited effects on increasing production (below 20.8%) and decreasing water footprint (below 3.6%). Combined two adaptation measures magnifies their respective effects, with technological yield improvement dominating contributions to production (37.0–99.6%) and water footprint (90.4–102.3%). In comprehensive optimal scenario, water footprint will reduce with increased production. No water is saved with reduced green water (1.6–1.7%) and increased blue water (6.6–21.6%).
... The concept of virtual water (VW), first proposed by Allan (1993), refers to the amount of water resources embedded in the production or consumption of goods or services [18]. The transnational flow of virtual water facilitates the redistribution of global water resources, thereby alleviating pressure in water-scarce regions [1]. Scholars have further developed the water footprint (WF) theory, categorizing it into blue, green, and grey water footprints, which represent surface and groundwater, rainwater, and water used to dilute pollutants, respectively [19]. ...
Article
Full-text available
Water scarcity has emerged as a critical constraint on agricultural development and food security worldwide, particularly in arid and semi-arid regions such as Central Asia, Western Asia, and North Africa, which are part of the “Belt and Road” Initiative. This study, based on a global multi-regional input–output model, quantitatively analyzes the virtual water flows between China and countries along the “Belt and Road”. It focuses on water-scarce regions, examining the impact of virtual water trade on agricultural resource pressures and food security, as well as the transfer of water resources in trade patterns. The findings indicate that virtual water trade, as an innovative water resource management strategy, can redistribute water resources through international trade, thereby alleviating water stress and enhancing food security in water-scarce areas. Despite China’s status as a net importer in virtual water trade with “Belt and Road” countries, the majority of virtual water flows toward nations with relatively abundant water resources, rather than to the most water-deficient areas. This discovery reveals imbalances in virtual water trade patterns, suggesting that current trade models do not effectively alleviate water and food security pressures in water-scarce regions. The “Belt and Road” mechanism should provide new ideas for solving the huge gap between virtual water theory and reality. In response, this paper proposes optimizing trade structures, strengthening agricultural water resource management, promoting green virtual water trade, fostering regional cooperation, improving data quality and transparency, encouraging agricultural diversification, and increasing investment in water-saving agricultural technologies.
Article
Full-text available
To achieve sustainable development goals, it isessential to understand the intricate relationships among water, energy, and food systems in agriculture. With global challenges such as climate change, population growth, and resource depletion looming, understanding and optimising these interdependencies is imperative for fostering sustainable agricultural practices and ensuring food security. Scholarly literature and policy arenas increasingly embrace the water-energy-food (WEF) nexus as an innovative strategy for tackling intricate resource and developmental issues. Despite the conceptual promise of the WEF nexus, its practical application in systematically assessing interconnections and facilitating the formulation of pertinent resource policies has remained limited. Hence, this review critically analyses the synergistic interactions among water, energy, and food systems within agriculture. A comprehensive analysis of 770 research articles sheds light on the evolving research landscape across various countries and their interconnectedness within the WEF nexus over time. Through analysing case studies and theoretical frameworks, the review underscores the importance of collaboration among stakeholders and interdisciplinary research to achieve sustainable agricultural systems. This study not only elucidates the diverse interconnections within the WEF nexus but also introduces three distinct conceptual frameworks; the interplay between WEF sectors, the intricacies of WEF interactions in agricultural production, and the untapped potential of the WEF nexus in agriculture. Furthermore, it underscores the imperative for future research to address gaps in understanding the WEF nexus, explore the interface between WEF and policy in agriculture, and enhance governance frameworks for managing the WEF nexus effectively.
Article
The agricultural sector in the Gaza Strip consumes more than 51% of the available water, leading to a massive deficit in the water budget. This study employs the water footprint concept as an innovative tool for effective water resources management. It examines the impact of several factors on nine basic crops (olives, citrus, grapes, wheat, tomatoes, potatoes, eggplant, squash, and cucumber) in the aspects of irrigation water consumption, climate parameters, crop patterns, virtual water trade, and achieving the best profits using the CROPWAT program and developing a linear programming model that combines economic benefit and water footprint. The best optimization was attained by changing crop pattern cultivation, as it achieved food security and optimized by 33% the use of green water. Also, the consumption of blue water was reduced by 29.4 million m3 (37%), as well as the productivity of water units increased to 18.5 /m3foreggplant,followedbypotatoesat13.9/m3 for eggplant, followed by potatoes at 13.9 /m3, tomatoes at 9.25 /m3,andcucumbersat8.74/m3, and cucumbers at 8.74 /m3. The water footprint has proven its effectiveness in increasing water use efficiency and is considered an effective tool in planning for sustainable water management.
Article
Understanding the virtual water trade concept and strategy is important for formulating informed policies for improving water use efficiency at different levels. However, the introduction of virtual water concept as a policy option in Egypt is still in need for extensive investigations, research, and feasibility evaluation. Currently, Egypt’s net virtual water import as a percentage of water resources has mounted to be 23.55%. The main concern, here, is to apply the concept of virtual water as a strategy in a way that meets its interests and objectives defined in the Egyptian National Water Resources Plan. This paper is primarily concerned with investigating the prevailing water/food situation in Egypt. It outlines water and food security situation and figures, as well as policy measures undertaken to meet the challenges. The role of ‘virtual water’ within a broader policy framework is demonstrated using crop production and international trade data from Egypt, where substantial amounts of ‘virtual water’ is embodied in wheat and maize imports. It is argued that for a country like Egypt, affordability of applying the virtual water concept may not be a major problem, but more the priority and independency related to food security. In order to adopt the application of virtual water concept in the national water resources strategy of Egypt, there is a need for a clear vision and understanding of its advantages and disadvantages according to the Egyptian conditions. This new concept as a policy option in Egypt requires further research and thorough understanding of the impacts and interactions on the local social, economic, environmental, cultural, natural, and political situation.
Thesis
Full-text available
Urbanization is rapidly transforming global cities. As cities grow, they face complex challenges, including food security, environmental degradation, and the need for sustainable urban growth models. This thesis explores the innovative concept of “Vertical Urban Oases,” which combines vertical farming with superblock urban design to address these challenges. By integrating food production, housing, commercial spaces, and public services within a compact, self-sustaining urban framework, the vertical urban oasis model offers a potential solution for creating livable, resource-efficient cities. The research focuses on hot, arid areas like New Aswan City, Egypt, as a case study to evaluate this model's feasibility, sustainability, and socio-economic impacts. This research is highly significant due to its focus on addressing two interlinked global challenges: food security and sustainable urbanism. It contributes to global efforts to combat urban sprawl and resource depletion, providing a practical framework for cities experiencing rapid urbanization. The study highlights vertical farming as a cornerstone for creating self-sustaining urban ecosystems, particularly in regions like Egypt, where per capita arable land has declined by 79% over the past century. Existing studies emphasize individual aspects of urban sustainability, such as green roofs, vertical agriculture, or compact urbanism. However, there is a notable gap in research exploring the integration of vertical farming with superblock urban designs to create holistic, self-sustaining urban ecosystems. This thesis bridges this gap by proposing and evaluating a Vertical Urban Oasis model, focusing on its technical, economic, and social feasibility in the context of Egypt’s arid urban environments. Rapid urbanization, expected to reach 70% of the global population by 2050, poses critical challenges, especially in regions like Egypt, where arable land per capita has declined by 79% over the past century. This growth exacerbates food insecurity, environmental degradation, and urban sprawl, straining limited resources and threatening sustainable urban development. Traditional agricultural practices cannot meet the demands of dense urban populations, requiring innovative solutions. This research addresses these challenges by proposing the concept of “Vertical Urban Oases,” integrating vertical farming with superblock urban design to promote food security, environmental sustainability, and efficient land use in rapidly growing cities. The research aims to assess the technical, environmental, economic, and social viability of integrating vertical farming within superblock designs as a model for sustainable urbanism. The specific objectives are, Evaluate Vertical Farming Feasibility: Assess crop productivity, resource efficiency, and economic viability of vertical farming systems such as hydroponics, aquaponics, and aeroponics. Integrate Vertical Farming and Superblocks: Investigate how this integration enhances urban compaction, livability, and sustainability in dense urban settings. Analyze Socio-Technical Challenges: Identify cultural, technical, and policy barriers to implementing the Vertical Urban Oasis model. Develop Guidelines and Policies: Propose actionable recommendations to support the adoption of vertical farming and urban compaction strategies. The research adopts a mixed-methods approach to assess the vertical urban oasis's technical, economic, and social viability. Quantitative data is collected on crop yields, resource efficiency, and cost-effectiveness, while qualitative data from stakeholder interviews and focus groups provides insights into the perceived benefits, challenges, and cultural factors influencing the model's acceptance. Key stakeholders include urban planners, architects, government officials, and residents, whose feedback was crucial in shaping the recommendations for the model's implementation. Results and Outcomes The findings highlight the transformative potential of the Vertical Urban Oasis model, which offers significant benefits across multiple dimensions: 1. Urban Compaction: The model minimizes urban sprawl, optimizes land use, and preserves ecosystems. 2. Sustainable Food Production: Advanced vertical farming technologies enable year-round cultivation, reducing water and land requirements. 3. Environmental Impact: The model reduces carbon emissions, enhances biodiversity, and lessens the ecological footprint of urban food systems. 4. Economic Development: It generates employment, reduces food transportation costs, and optimizes resource management, contributing to local economies. 5. Social Livability: Integrated green spaces and food systems enhance community well-being and promote sustainable urban living. Challenges The research identifies key barriers, including: • High Initial Costs: Infrastructure development for vertical farming requires significant financial investment. • Technical Expertise: The model demands specialized knowledge for installation, maintenance, and operation. • Social Resistance: Public scepticism toward new urban forms and living arrangements poses adoption challenges. Recommendations To overcome these challenges, the research proposes: 1. Policy Incentives: Provide financial subsidies and incentives to support vertical farming infrastructure. 2. Regulatory Frameworks: Develop clear guidelines to integrate vertical farming into urban planning systems. 3. Public-Private Partnerships: Foster collaborations between stakeholders to promote innovation and ensure financial viability. 4. Community Engagement: Actively involve residents in the planning and operation of urban farms to enhance social acceptance and adaptability. Ultimately, this thesis contributes to the growing academic discourse on urban sustainability by offering a visionary yet practical solution for cities facing the twin challenges of urban sprawl and food security. By rigorously evaluating the vertical urban oasis model in the context of New Aswan City, this research provides valuable insights for urban planners, architects, and policymakers seeking to design more resilient and self-sustaining cities for the future. The model's potential to transform how cities approach urban agriculture and sustainability marks a significant step forward in addressing the global challenges of population growth, climate change, and resource scarcity. Keywords: vertical urban oasis, vertical farming, superblock, sustainability, livability, urban agriculture, vertical farming, green cities
Article
Full-text available
This paper uses the concepts of human carrying capacity and natural capital to argue that prevailing economic assumptions regarding urbanization and the sustainability of cities must be revised in light of global ecological change. While we are used to thinking of cities as geographically discrete places, most of the land "occupied' by their residents lies far beyond their borders. In effect, through trade and natural flows of ecological goods and services, all urban regions appropriate the carrying capacity of distant "elsewhere', creating dependencies that may not be ecologically or geopolitically stable or secure. The global competition for remaining stocks of natural capital and their productive capacity therefore explains much of the environment-development related tension between North and South. Such macro-ecological realities are often invisible to conventional economic analyses yet have serious implications for world development and sustainability in an era of rapid urbanization and increasing ecological uncertainty. -from Author
Article
Full-text available
The water footprint concept has been developed in order to have an indicator of water use in relation to consumption of people. The water footprint of a country is defined as the volume of water needed for the production of the goods and services consumed by the inhabitants of the country. Closely linked to the water footprint concept is the virtual water concept. Virtual water is defined as the volume of water required to produce a commodity or service. International trade of commodities implies flows of virtual water over large distances. The water footprint of a nation can be assessed by taking the use of domestic water resources, subtract the virtual water flow that leaves the country and add the virtual water flow that enters the country. The internal water footprint of a nation is the volume of water used from domestic water resources to produce the goods and services consumed by the inhabitants of the country. The external water footprint of a country is the volume of water used in other countries to produce goods and services imported and consumed by the inhabitants of the country. The study aims to calculate the water footprint for each nation of the world for the period 1997-2001.
Article
A critical analysis of the present situation on the global water resources assessment is made. Basic data and methodological approaches used by the author for the assessment and prediction of water resources, water use and water availability on the global scale are briefly described. On the basis of data generalization of the world hydrological network new data are given on the dynamics of renewable water resources of the continents, physiographic and economic regions, selected countries as well as on the river water inflow to the world ocean. The results of the assessments for the 20th century and for the future before 2010–2025 on the water supply for municipal, industrial and agricultural needs as well as an additional evaporation from reservoirs are presented. Loads on water resources and water availability depending on socio-economic and phisiographic factors are analyzed; regions of water scarcity and water resources deficit are discovered. Possible ways of water supply improvement and elimination of water resources deficit in different regions and countries are discussed.