Cited by 4,392Water resources management and optimizationHydrology and Watershed Management StudiesEnvironmental Science and Water Management

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Global Hydrological Cycles and World Water Resources

Oki, Taikan, Kanae, Shinjiro·2006·Science

DOI 10.1126/science.1128845

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Abstract

Water is a naturally circulating resource that is constantly recharged. Therefore, even though the stocks of water in natural and artificial reservoirs are helpful to increase the available water resources for human society, the flow of water should be the main focus in water resources assessments. The climate system puts an upper limit on the circulation rate of available renewable freshwater resources (RFWR). Although current global withdrawals are well below the upper limit, more than two billion people live in highly water-stressed areas because of the uneven distribution of RFWR in time and space. Climate change is expected to accelerate water cycles and thereby increase the available RFWR. This would slow down the increase of people living under water stress; however, changes in seasonal patterns and increasing probability of extreme events may offset this effect. Reducing current vulnerability will be the first step to prepare for such anticipated changes.

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Global 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
Geology of mankind
Crutzen, P. J. (2002) · Nature · doi:10.1038/415023a · Cited by 4,788
Fragmentation and Flow Regulation of the World's Large River Systems
Nilsson, C., Reidy, C. A., Dynesius, M., & Revenga, C. (2005) · Science · doi:10.1126/science.1107887 · Cited by 3,509
Global pattern of trends in streamflow and water availability in a changing climate
Milly, P. C. D., Dunne, K. A., & Vecchia, A. V. (2005) · Nature · doi:10.1038/nature04312 · Cited by 2,358
Human Appropriation of Renewable Fresh Water
Postel, S. L., Daily, G. C., & Ehrlich, P. R. (1996) · Science · doi:10.1126/science.271.5250.785 · Cited by 1,477
Global Freshwater Resources: Soft-Path Solutions for the 21st Century
Gleick, P. H. (2003) · Science · doi:10.1126/science.1089967 · Cited by 1,376
Encyclopedia of Hydrological Sciences
Anderson, M. G. (2006) · Wiley eBooks · doi:10.1002/0470848944 · Cited by 1,270
Climate change and global water resources: SRES emissions and socio-economic scenarios
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Detection of a direct carbon dioxide effect in continental river runoff records
Gedney, N., Cox, P. M., Betts, R., Boucher, O., Huntingford, C., & Stott, P. A. (2006) · Nature · doi:10.1038/nature04504 · Cited by 843
A reservoir operation scheme for global river routing models
Hanasaki, N., Kanae, S., & Oki, T. (2006) · Journal of Hydrology · doi:10.1016/j.jhydrol.2005.11.011 · Cited by 557
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M. W. Rosegrant, C. Ximing, S. A. Cline, Environment45, 24 (2003).
P. A. Dirmeyer et al. Bull. Am. Meteorol. Soc. in press.
N. Utsumi thesis The University of Tokyo (2006).
J. A. Allan, Yale Univ. For. Environ. Studies Bull.103, 141 (1998).
T. Okiet al., in Value of Water Research Report Series No. 12, A. Y. Hoekstra, Ed. (UNESCO-IHE, Delft, Netherlands, 2003), pp. 221–235.
Intergovermental Panel on Climate Change Climate Change 2001: The Science Basis (Cambridge Univ. Press Cambridge UK 2001).
D. Nohara A. Kitoh M. Hosaka T. Oki J. Hydromet. in press.

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Authors: Oki, T., & Kanae, S.
Affiliations: Japan Agency for Marine-Earth Science and Technology (JP)
Corresponding author: Oki, Taikan
Kanae, Shinjiro
ORCID: Oki, Taikan
Kanae, Shinjiro
Venue: Science
Publisher: American Association for the Advancement of Science (AAAS)
Published: 2006-08-25
Volume: 313
Issue: 5790
Pages: 1068-1072
ISSN: 0036-8075 (ISSN-L)
1095-9203
DOI: 10.1126/science.1128845
OpenAlex: W2166186402
Semantic Scholar: 081302edda95ed9cf79fb9dda022c20e62d48ce5
Cited by: 4,392
References: 23
Citations by year: 2026: 332 · 2025: 337 · 2024: 344 · 2023: 357 · 2022: 375 · 2021: 386 · 2020: 338 · 2019: 297 · 2018: 245 · 2017: 189 · 2016: 208 · 2015: 174 · 2014: 165 · 2013: 145 · 2012: 133
FWCI: 12.85
Type: journal article
Language: en
Open access: closed
Locations: Science (publishedVersion)
PubMed (publishedVersion)
Institutional Repositories DataBase (IRDB) (submittedVersion)
Tokyo Tech Research Repository (Tokyo Institute of Technology) (submittedVersion)
Topics: Physical Sciences › Environmental Science › Water Science and Technology › Water resources management and optimization
Physical Sciences › Environmental Science › Water Science and Technology › Hydrology and Watershed Management Studies
Physical Sciences › Environmental Science › Water Science and Technology › Environmental Science and Water Management
Keywords: water cycle, water resources assessment, water stress, climate change impacts on water resources, water abstraction, hydrological extremes, seasonal climate variability, water resources vulnerability
MeSH terms: Agriculture, Animals, Climate, Fresh Water, Humans, Industry, Water Supply, Weather, Water Purification, Rivers

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