Difference between revisions of "Groundwater use"
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Revision as of 17:28, 4 May 2016
Estimating Groundwater Use
Several attempts have been made at local, national and international scales in Africa to estimate how much groundwater is being used, how many people depend on groundwater, and the kinds of activities which groundwater supports. However, because groundwater use is so varied and dispersed, and because of problems collecting, recording, managing and accessing relevant information on groundwater use, these estimates are difficult, and can be unreliable. The most widely used source of information on groundwater use is the FAO AQUASTAT website. Other estimates have been done, for example of groundwater used for irrigation (Seibert et al., 2010), and groundwater use for drinking water from the WHO/UNICEF Joint Monitoring Programme. Another method relies on the fact that so much of the rural population of Africa depends on groundwater, so that the density of rural population can be a useful surrogate for groundwater use.
FAO AQUASTAT is is the FAO’s global water information system, providing data for countries in Africa, Asia, Latin America, and the Caribbean. Each country profile contains general information on the geographical and economic situation of the country, and more detailed information on water resources (major sources of surface water and groundwater), water use (with a particular focus on irrigation), and water management.
WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation
The WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation is ongoing, and is providing summary statistics for water supply and sanitation coverage.
African population data
An indication of groundwater use across Africa has been developed using rural and urban population data. Gridded datasets of population and urban extent across Africa were processed to provide an estimate of the number of people living on each main aquifer type, and what proportion of this population lives in rural and urban areas.
The gridded population data are derived from the United Nations Environment Programme/Global Resource Information Database (UNEP/GRID) Africa Population Distribution Database (4th edition). This dataset uses population data from 109 000 administrative units across Africa, the most recent of which were compiled for the year 2000. The regional data are gridded using an interpolation method based on settlement locations and transport infrastructure, which helps to distribute the population across an administrative area. The gridding approach and the key sources of uncertainty in the dataset are discussed in detail in the data documentation (Nelson, 2004).
The gridded rural-urban data (Balk et al., 2006) are derived from the Global Rural-Urban Mapping Project (GRUMP) Urban Extents Grid (v1). This dataset is produced by the Centre for International Earth Science Information Network (CIESIN) at Columbia University, the International Food Policy Research Institute (IFPRI), The World Bank, and the Centro Internacional de Agricultura Tropical (CIAT). The dataset is based on a combination of population counts, settlement points, and the presence of night-time lights as observed by a series of US Department of Defence meteorological satellites over several decades.
Citations and Links to Further Information
Balk, DL, Deichmann, U, Yetman, G, Pozzi, F, Hay, SI, and Nelson, A. 2006. Determining Global Population Distribution: Methods, Applications and Data. Advances in Parasitology, Vol. 62, 119-156. doi:10.1016/S0065-308X(05)62004-0.
CIESEN, IFPRI, The World Bank and CIAT. 2011. Global Rural-Urban Mapping Projectm Version 1 (GRUMPv1): Urban Extents Grid. Palisades, NY: NASA Socioeconomic Data and Applications Centre (SEDAC). Accessed 30th October 2014.
Seibert S, Burke J, Faures JM, Frenken K, Hoogeveen J, Doll P & Portmann FT. 2010. Groundwater use for irrigation - a global inventory. Hydrol. Earth Syst. Sci. 14, 1863-1880. doi: 10.5194/hess-14-1863-2010
UNEP/GRID. 2004. African Population Distribution Database. UNEP GRID Sioux Falls. Retrieved 29th October 2014.