Development and testing of the WaterGAP 2 global model of water use and availability
Open accessAbstract
Growing interest in global environmental issues has led to the need for global and regional assessment of water resources. A global water assessment model called “WaterGAP 2” is described, which consists of two main components'a Global Water Use model and a Global Hydrology model. These components are used to compute water use and availability on the river basin level. The Global Water Use model consists of (a) domestic and industry sectors which take into account the effect of structural and technological changes on water use, and (b) an agriculture sector which accounts especially for the effect of climate on irrigation water requirements. The Global Hydrology model calculates surface runoff and groundwater recharge based on the computation of daily water balances of the soil and canopy. A water balance is also performed for surface waters, and river flow is routed via a global flow routing scheme. The Global Hydrology model provides a testable method for taking into account the effects of climate and land cover on runoff. The components of the model have been calibrated and tested against data on water use and runoff from river basins throughout the world. Although its performance can and needs to be improved, the WaterGAP 2 model already provides a consistent method to fill in many of the existing gaps in water resources data in many parts of the world. It also provides a coherent approach for generating scenarios of changes in water resources. Hence, it is especially useful as a tool for globally comparing the water situation in river basins.
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About 10% of contiguous impervious area within a catchment typically causes observable and probably irreversible river degradation and loss of ecosystem functions.
“Several studies on urbanization and rivers show consistently that about 10% of contiguous impervious area within a catchment typically causes an observable and probably irreversible river degradation and loss of ecosystem functions ( 53-55 ).”
From Mapping the world’s free-flowing rivers (2019) · cites this paper as [53]
WaterGAP is calibrated to estimate discharge from major river systems, meaning that while renewable groundwater is considered, fossil groundwater is omitted.
“Furthermore, WaterGAP is calibrated to estimate discharge from major river systems (Alcamo et al., 2003;Müller Schmied et al., 2014).This means that while the renewable part of groundwater is considered, fossil groundwater is omitted.”
From Life cycle assessment and water use impacts of lithium production from salar deposits: Challenges and opportunities (2024) · cites this paper as Alcamo et al., 2003
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Cites
On the Assessment of Surface Heat Flux and Evaporation Using Large-Scale Parameters
Priestley, C. H. B., & Taylor, R. J. (1972) · Monthly Weather Review · doi:10.1175/1520-0493(1972)100 · Cited by 6,545 · see citing works
Special report on emissions scenarios
Nakićenović, N., Alcamo, J., Davis, G. R., de Vries, B. J. M., Fenhann, J. V., Gaffin, S., Gregory, K., Grübler, A., Jung, T. Y., Kram, T., et al. (2000) · Cited by 6,089 · see citing works
Self-citationGlobal Water Resources: Vulnerability from Climate Change and Population Growth
Vörösmarty, C. J., Green, P., Salisbury, J. E., & Lammers, R. B. (2000) · Science · doi:10.1126/science.289.5477.284 · Cited by 5,052 · see citing works
Liang, X., Lettenmaier, D. P., Wood, E. F., & Burges, S. J. (1994) · Journal of Geophysical Research Atmospheres · doi:10.1029/94jd00483 · Cited by 4,057 · see citing works
Computer Models of Watershed Hydrology
Singh, V. P. (1995) · Medical Entomology and Zoology · Cited by 3,277 · see citing works
Deardorff, J. W. (1978) · Journal of Geophysical Research Atmospheres · doi:10.1029/jc083ic04p01889 · Cited by 1,771 · see citing works
A global hydrological model for deriving water availability indicators: model tuning and validation
Döll, P., Kaspar, F., & Lehner, B. (2003) · Journal of Hydrology · doi:10.1016/s0022-1694(02)00283-4 · Cited by 1,174 · see citing works
Self-citationAppraisal and Assessment of World Water Resources
Shiklomanov, I. A. (2000) · Water International · doi:10.1080/02508060008686794 · Cited by 1,083 · see citing works
Global modeling of irrigation water requirements
Döll, P., & Siebert, S. (2002) · Water Resources Research · doi:10.1029/2001wr000355 · Cited by 857 · see citing works
Self-citationCropwat : a computer program for irrigation planning and management
Martin, S., & land, F. (1992) · FAO eBooks · Cited by 852 · see citing works
Calibration of process-oriented models
Janssen, P., & Heuberger, P. (1995) · Ecological Modelling · doi:10.1016/0304-3800(95)00084-9 · Cited by 808 · see citing works
World Water Vision: Making Water Everybody's Business
Cosgrove, W., & Rijsberman, F. (2000) · Routledge eBooks · doi:10.4324/9781315071763 · Cited by 754 · see citing works
Grübler, A. (1998) · Cambridge University Press eBooks · doi:10.1017/cbo9781316036471 · Cited by 654 · see citing works
Impact of Climate Change and Variability on Irrigation Requirements: A Global Perspective
Döll, P. (2002) · Climatic Change · doi:10.1023/a:1016124032231 · Cited by 606 · see citing works
Self-citationComprehensive Assessment of the Freshwater Resources of the World
Kirshen, P., & Strzepek, K. M. (1997) · Managing Water: Coping with Scarcity and Abundance · Cited by 485 · see citing works
Estimated use of water in the United States in 1995
Solley, W. B., Pierce, R. R., & Perlman, H. A. (1998) · U.S. Geological Survey circular/U.S. Geological Survey Circular · doi:10.3133/cir1200 · Cited by 482 · see citing works
Vörösmarty, C. J., Federer, C. A., & Schloss, A. L. (1998) · Journal of Hydrology · doi:10.1016/s0022-1694(98)00109-7 · Cited by 436 · see citing works
Alcamo, J., Döll, P., Henrichs, T., Kaspar, F., Lehner, B., Rösch, T., & Siebert, S. (2003) · Hydrological Sciences Journal · doi:10.1623/hysj.48.3.339.45278 · Cited by 424 · see citing works
Self-citationBergström, S., & Singh, V. (1995) · Cited by 415 · see citing works
Validation of a new global 30-min drainage direction map
Döll, P., & Lehner, B. (2002) · Journal of Hydrology · doi:10.1016/s0022-1694(01)00565-0 · Cited by 353 · see citing works
Self-citationAssessment of Annual Runoff from Land Surface Models Using Total Runoff Integrating Pathways (TRIP)
Oki, T., Nishimura, T., & Dirmeyer, P. A. (1999) · Journal of the Meteorological Society of Japan Ser II · doi:10.2151/jmsj1965.77.1b_235 · Cited by 305 · see citing works
Critical regions: A model-based estimation of world water resources sensitive to global changes
Alcamo, J., & Henrichs, T. (2002) · Aquatic Sciences · doi:10.1007/pl00012591 · Cited by 235 · see citing works
Self-citationAdelita, C. P. (1977) · International Rice Research Institute eBooks · Cited by 231 · see citing works
Global assessment of current water resources using total runoff integrating pathways
Oki, T., Agata, Y., Kanae, S., Saruhashi, T., Yang, D., & MUSIAKE, K. (2001) · Hydrological Sciences Journal · doi:10.1080/02626660109492890 · Cited by 229 · see citing works
A simple water balance model for the simulation of streamflow over a large geographic domain
Arnell, N. W. (1999) · Journal of Hydrology · doi:10.1016/s0022-1694(99)00023-2 · Cited by 223 · see citing works
Raskin, P. D., Gleick, P. H., Kirshen, P., Pontius, G., & Strzepek, K. M. (1997) · Cited by 197 · see citing works
Development of a world data set of soil water retention properties using pedotransfer rules
Batjes, N. H. (1996) · Geoderma · doi:10.1016/0016-7061(95)00089-5 · Cited by 177 · see citing works
Long range streamflow and world continental runoff fluctuations since the beginning of this century
Probst, J., & Tardy, Y. (1987) · Journal of Hydrology · doi:10.1016/0022-1694(87)90057-6 · Cited by 139 · see citing works
A digital global map of irrigated areas.
Döll, P., & Siebert, S. (2000) · Cited by 133 · see citing works
Self-citationIntergovernmental Panel on Climate Change
Waskey, A. J. (2011) · Green Politics: An A-to-Z Guide · doi:10.4135/9781412971867.n75 · Cited by 131 · see citing works
Global warming, river flows and water resources
Arnell, N. W. (1996) · Cited by 129 · see citing works
Determining the potential distribution of vegetation, crops and agricultural productivity
Leemans, R., & van den Born, G. J. (1994) · Water Air & Soil Pollution · doi:10.1007/bf00478338 · Cited by 125 · see citing works
Integrated economic‐hydrologic water modeling at the basin scale: the Maipo river basin
Rosegrant, M. W., Ringler, C., McKinney, D. C., et al. (2000) · Agricultural Economics · doi:10.1111/j.1574-0862.2000.tb00091.x · Cited by 125 · see citing works
Assessment of Water Resources and Water Availability in the World
Shiklomanov, I. A. (1997) · Medical Entomology and Zoology · Cited by 114 · see citing works
Global warming, river flows and water resources
Labadz, J. C. (1997) · Applied Geography · doi:10.1016/s0143-6228(97)87227-x · Cited by 109 · see citing works
Roberts, L. (1998) · Cited by 98 · see citing works
Water and economic development
Emmanuel, V. J. (1994) · Loughborough University Research Repository (Loughborough University) · Cited by 54 · see citing works
Water resources of the world: Selected statistics
van der Leeden, F. (1975) · Medical Entomology and Zoology · Cited by 38 · see citing works
Global International Waters Assessment
Matishov, G. G., Голубева, Н. С., Titova, G. D., et al. (2004) · Cited by 32 · see citing works
An Integrated Analysis of Changes in Water Stress in Europe
Henrichs, T., Lehner, B., & Alcamo, J. (2002) · Integrated Assessment · doi:10.1076/iaij.3.1.15.7406 · Cited by 24 · see citing works
Self-citationModel-based Regional Assessment of Water UseAn Example for Semi-arid Northeastern Brazil
Döll, P., & Hauschil, M. (2002) · Water International · doi:10.1080/02508060208687011 · Cited by 20 · see citing works
Self-citationvan, W. J., Diederiks, J. P. M., & Klein Goldewijk, K. (1995) · Cited by 8 · see citing works
Drought conciliation and water rights : Japanese experience
OMACHI, T., & 建設省河川局 (1997) · Medical Entomology and Zoology · Cited by 5 · see citing works
On the number of hurricane samples within block boundaries in which reserves are calculated
Vassilev, P. A. (1972) · Mathematical Geology · doi:10.1007/bf02080297 · Cited by 5 · see citing works
Mutai, C. (2000) · doi:10.1175/1520-0442(2000)013
Quesada (2001) · doi:10.1175/1520-0442(2001)014
Flagged first, then by citations
Research works printed but not linked: 4
- Döll, P. & Hauschild, M. (2002) Model-based regional assessment of water use: an example for Northeastern Brazil. Water Int. 27(3), 310-320.
- Döll, P., Lehner, B. & Kaspar, F. (2002) Global modeling of groundwater recharge. In: Proc. Third Int. Conf. on Water Resources and Environment Research (ed. by G. H. Schmitz), vol. I, 322-326. Technical University, Dresden, Germany.
- Ringler, C. & Rosegrant, M. (1999) Water resource allocation in the Mekong river basin-challenges and opportunities. Paper presented at the Symposium on Food and Agricultural Policy (organized by the International Food Policy Research Institute, Hanoi, Vietnam, March 1999. Available from International Food Policy Research Institute, 2033 K Street, NW, Washington, DC 20006, USA.
- WRI (World Resources Institute) (2000) World Resources 2000-01. Oxford Press, New York, USA.
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Steffen, W., Broadgate, W., Deutsch, L., Gaffney, O., & Ludwig, C. (2015) · The Anthropocene Review · doi:10.1177/2053019614564785 · Cited by 3,935 · see citing works
High‐resolution mapping of the world's reservoirs and dams for sustainable river‐flow management
Lehner, B., Liermann, C. R., Revenga, C., Vörösmarty, C., Fekete, B., Crouzet, P., Döll, P., Endejan, M., Frenken, K., Magome, J., et al. (2011) · Frontiers in Ecology and the Environment · doi:10.1890/100125 · Cited by 2,515 · see citing works
Self-citationMapping the world’s free-flowing rivers
Grill, G., Lehner, B., Thieme, M., Geenen, B., Tickner, D., Antonelli, F., Babu, S., Borrelli, P., Cheng, L., Crochetiere, H., et al. (2019) · Nature · doi:10.1038/s41586-019-1111-9 · Cited by 2,473 · see citing works
Self-citationLehner, B., & Grill, G. (2013) · Hydrological Processes · doi:10.1002/hyp.9740 · Cited by 2,193 · see citing works
Self-citationGlobal mapping of ecosystem services and conservation priorities
Naidoo, R., Balmford, A., Costanza, R., Fisher, B., Green, R. E., Lehner, B., Malcolm, T. R., & Ricketts, T. H. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0707823105 · Cited by 1,048 · see citing works
Self-citationClimate change and the world's river basins: anticipating management options
Palmer, M. A., Reidy Liermann, C. A., Nilsson, C., Flörke, M., Alcamo, J., Lake, P. S., & Bond, N. (2008) · Frontiers in Ecology and the Environment · doi:10.1890/060148 · Cited by 934 · see citing works
Self-citationBoulay, A.-M., Bare, J., Benini, L., Berger, M., Lathuillière, M. J., Manzardo, A., Margni, M., Motoshita, M., Núñez, M., Pastor, A. V., et al. (2018) · The International Journal of Life Cycle Assessment · doi:10.1007/s11367-017-1333-8 · Cited by 849 · see citing works
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McDonald, R. I., Weber, K., Padowski, J., Flörke, M., Schneider, C., Green, P. A., Gleeson, T., Eckman, S., Lehner, B., Balk, D., et al. (2014) · Global Environmental Change · doi:10.1016/j.gloenvcha.2014.04.022 · Cited by 786 · see citing works
Self-citationGrill, G., Lehner, B., Lumsdon, A. E., MacDonald, G. K., Zarfl, C., & Reidy Liermann, C. (2015) · Environmental Research Letters · doi:10.1088/1748-9326/10/1/015001 · Cited by 646 · see citing works
Self-citationFlörke, M., Kynast, E., Bärlund, I., Eisner, S., Wimmer, F., & Alcamo, J. (2013) · Global Environmental Change · doi:10.1016/j.gloenvcha.2012.10.018 · Cited by 580 · see citing works
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- Authors
- ALCAMO, J., DÖLL, P., HENRICHS, T., KASPAR, F., LEHNER, B., RÖSCH, T., & SIEBERT, S.
- Affiliations
- University of Kassel (DE)
- Venue
- Hydrological Sciences Journal
- Publisher
- Informa UK Limited
- Published
- 2003-06
- Volume
- 48
- Issue
- 3
- Pages
- 317-337
- ISSN
- 0262-6667 (ISSN-L)
- 2150-3435
- OpenAlex
- W2113442858
- Cited by
- 877
- References
- 46
- Citations by year
- 2026: 18 · 2025: 19 · 2024: 48 · 2023: 50 · 2022: 56 · 2021: 67 · 2020: 52 · 2019: 36 · 2018: 48 · 2017: 33 · 2016: 50 · 2015: 53 · 2014: 49 · 2013: 47 · 2012: 55
- FWCI
- 19.79
- Type
- journal article
- Language
- fr
- Open access
- bronze
- doi.org
- Locations
- Hydrological Sciences Journal (publishedVersion)
- Funders
- Rijksinstituut voor Volksgezondheid en Milieu
- Topics
- Physical Sciences › Environmental Science › Water Science and Technology › Hydrology and Watershed Management Studies
- Physical Sciences › Engineering › Ocean Engineering › Water resources management and optimization
- Physical Sciences › Environmental Science › Water Science and Technology › Environmental Science and Water Management
- Keywords
- water resources assessment, water availability, irrigation water demand, climate change impacts on agriculture, surface runoff, groundwater recharge, soil water balance, river flow routing, model calibration, water use scenarios, river basins
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