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Global assessment of water challenges under uncertainty in water scarcity projections

Abstract

Water scarcity, a critical environmental issue worldwide, has primarily been driven by a significant increase in water extractions during the last century. In the coming decades, climate and societal changes are projected to further exacerbate water scarcity in many regions worldwide. Today, a major issue for the ongoing policy debate is to identify interventions able to address water scarcity challenges in the presence of large uncertainties. Here, we take a probabilistic approach to assess global water scarcity projections following feasible combinations of shared socioeconomic pathways and representative concentration pathways for the first half of the twenty-first century. We identify—alongside trends in median water scarcity—changes in the uncertainty range of anticipated water scarcity conditions. Our results show that median water scarcity and the associated range of uncertainty are generally increasing worldwide, including many major river basins. On the basis of these results, we develop a general decision-making framework to enhance policymaking by identifying four representative clusters of specific water policy challenges and needs.

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Fig. 1: Median and IQR derived from the multi-model, multi-scenario ensemble of 45 global, decadal water scarcity projections.
Fig. 2: Relative importance of each source of uncertainty within the 2046–2055 period.
Fig. 3: Basin averages of decade-to-decade change of the uncertainty distribution and the relative importance of different uncertainty sources.
Fig. 4: Identifying areas of low, medium and high water policy challenges.

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Data availability

The WFaS data that support the findings of this study are available from the corresponding author upon request.

References

  1. United Nations Transforming Our World: The 2030 Agenda for Sustainable Development (United Nations General Assembly, New York, NY, 2015).

  2. Vanham, D. et al. Physical water scarcity metrics for monitoring progress towards SDG target 6.4: an evaluation of indicator 6.4.2 ‘Level of water stress’. Sci. Total Environ. 613–614, 218–232 (2018).

    Article  CAS  Google Scholar 

  3. Wada, Y., Beek, L. P. Hv, Wanders, N. & Bierkens, M. F. P. Human water consumption intensifies hydrological drought worldwide. Environ. Res. Lett. 8, 034036 (2013).

    Article  Google Scholar 

  4. Wada, Y., van Beek, L. P. H. & Bierkens, M. F. P. Modelling global water stress of the recent past: on the relative importance of trends in water demand and climate variability. Hydrol. Earth Syst. Sci. 15, 3785–3808 (2011).

    Article  Google Scholar 

  5. Schewe, J. et al. Multimodel assessment of water scarcity under climate change. Proc. Natl Acad. Sci. USA 111, 3245–3250 (2014).

    Article  CAS  Google Scholar 

  6. Greve, P. & Seneviratne, S. I. Assessment of future changes in water availability and aridity. Geophys. Res. Lett. 42, 5493–5499 (2015).

    Article  CAS  Google Scholar 

  7. Huang, J., Yu, H., Dai, A., Wei, Y. & Kang, L. Drylands face potential threat under 2 C global warming target. Nat. Clim. Change 7, 417–422 (2017).

    Article  Google Scholar 

  8. Gudmundsson, L., Seneviratne, S. I. & Zhang, X. Anthropogenic climate change detected in European renewable freshwater resources. Nat. Clim. Chang. 7, 813–816 (2017).

    Article  Google Scholar 

  9. Qureshi, M. E. & Whitten, S. M. Regional impact of climate variability and adaptation options in the southern Murray-Darling Basin, Australia. Water Resour. Econ. 5, 67–84 (2014).

    Article  Google Scholar 

  10. Flörke, M., Schneider, C. & McDonald, R. I. Water competition between cities and agriculture driven by climate change and urban growth. Nat. Sustain. 1, 51–58 (2018).

    Article  Google Scholar 

  11. Hanasaki, N. et al. A global water scarcity assessment under Shared Socio-economic Pathways – Part 1: Water use. Hydrol. Earth Syst. Sci. 17, 2375–2391 (2013).

    Article  Google Scholar 

  12. Hanasaki, N. et al. A global water scarcity assessment under Shared Socio-economic Pathways – Part 2: Water availability and scarcity. Hydrol. Earth Syst. Sci. 17, 2393–2413 (2013).

    Article  Google Scholar 

  13. Mekonnen, M. M. & Hoekstra, A. Y. Four billion people facing severe water scarcity. Sci. Adv. 2, e1500323 (2016).

    Article  CAS  Google Scholar 

  14. Wada, Y. et al. Modeling global water use for the 21st century: the Water Futures and Solutions (WFaS) initiative and its approaches. Geosci. Model Dev. 9, 175–222 (2016).

    Article  Google Scholar 

  15. Hoekstra, A. Y. Water scarcity challenges to business. Nat. Clim. Change 4, 318–320 (2014).

    Article  Google Scholar 

  16. Wada, Y., Gleeson, T. & Esnault, L. Wedge approach to water stress. Nat. Geosci. 7, 615–617 (2014).

    Article  CAS  Google Scholar 

  17. Kahil, M. T., Dinar, A. & Albiac, J. Modeling water scarcity and droughts for policy adaptation to climate change in arid and semiarid regions. J. Hydrol. 522, 95–109 (2015).

    Article  Google Scholar 

  18. Tortajada, C. Water management in Singapore. Int. J. Water Resour. D 22, 227–240 (2006).

    Article  Google Scholar 

  19. Devineni, N., Perveen, S. & Lall, U. Assessing chronic and climate-induced water risk through spatially distributed cumulative deficit measures: a new picture of water sustainability in India. Water Resour. Res. 49, 2135–2145 (2013).

    Article  Google Scholar 

  20. Winemiller, K. O. et al. Balancing hydropower and biodiversity in the Amazon, Congo, and Mekong. Science 351, 128–129 (2016).

    Article  CAS  Google Scholar 

  21. Läderach, P. et al. Climate Change adaptation of coffee production in space and time. Climatic Change 141, 47–62 (2017).

    Article  Google Scholar 

  22. Hadarits, M. et al. The interplay between incremental, transitional, and transformational adaptation: a case study of Canadian agriculture. Reg. Environ. Change 17, 1515–1525 (2017).

    Article  Google Scholar 

  23. Moss, R. H. et al. The next generation of scenarios for climate change research and assessment. Nature 463, 747–756 (2010).

    Article  CAS  Google Scholar 

  24. O'Neill, B. C. et al. A new scenario framework for climate change research: the concept of shared socioeconomic pathways. Climatic Change 122, 387–400 (2014).

    Article  Google Scholar 

  25. Dalin, C., Wada, Y., Kastner, T. & Puma, M. J. Groundwater depletion embedded in international food trade. Nature 543, 700–704 (2017).

    Article  CAS  Google Scholar 

  26. Pastor, A. V., Ludwig, F., Biemans, H., Hoff, H. & Kabat, P. Accounting for environmental flow requirements in global water assessments. Hydrol. Earth Syst. Sci. 18, 5041–5059 (2014).

    Article  Google Scholar 

  27. Taylor, K., Stouffer, R. & Meehl, G. An overview of CMIP5 and the experiment design. Bull. Am. Meteorol. Soc. 93, 485–498 (2012).

    Article  Google Scholar 

  28. Perveen, S. & James, L. A. Multiscale effects on spatial variability metrics in global water resources data. Water Resour. Manage. 24, 1903–1924 (2010).

    Article  Google Scholar 

  29. Perveen, S. & James, L. A. Scale invariance of water stress and scarcity indicators: facilitating cross-scale comparisons of water resources vulnerability. Appl. Geogr. 31, 321–328 (2011).

    Article  Google Scholar 

  30. Raskin, P. & Gleick, P. H. Water Futures: Assessment of Long-range Patterns and Problems. Comprehensive Assessment of the Freshwater Resources of the World (Stockholm Environment Institute, Stockholm, 1997).

  31. Alcamo, J. et al. Global estimates of water withdrawals and availability under current and future ‘businessas-usual’ conditions. Hydrol. Sci. J. 48, 339–348 (2003).

    Article  Google Scholar 

  32. Liu, J. et al. Water scarcity assessments in the past, present, and future. Earths Future 5, 545–559 (2017).

    Article  Google Scholar 

  33. Hawkins, E. & Sutton, R. The potential to narrow uncertainty in regional climate predictions. Bull. Am. Meteorol. Soc. 90, 1095–1107 (2009).

    Article  Google Scholar 

  34. Hoekstra, A. Y., Mekonnen, M. M., Chapagain, A. K., Mathews, R. E. & Richter, B. D. Global monthly water scarcity: blue water footprints versus blue water availability. PLoS ONE 7, e32688 (2012).

    Article  CAS  Google Scholar 

  35. Veldkamp, T. I. E. et al. Changing mechanism of global water scarcity events: Impacts of socioeconomic changes and inter-annual hydro-climatic variability. Global Environ. Change 32, 18–29 (2015).

    Article  Google Scholar 

  36. Kates, R. W.., Travis, W. R. & Wilbanks, T. J. Transformational adaptation when incremental adaptations to climate change are insufficient. Proc. Natl Acad. Sci. USA 109, 7156–7161 (2012).

    Article  CAS  Google Scholar 

  37. Hall, J. W. et al. Coping with the curse of freshwater variability. Science 346, 429–430 (2014).

    Article  CAS  Google Scholar 

  38. Kahil, M. T., Connor, J. D. & Albiac, J. Efficient water management policies for irrigation adaptation to climate change in Southern Europe. Ecol. Econ. 120, 226–233 (2015).

    Article  Google Scholar 

  39. Leclère, D., Jayet, P.-A. & de Noblet-Ducoudré, N. Farm-level autonomous adaptation of European agricultural supply to climate change. Ecol. Econ. 87, 1–14 (2013).

    Article  Google Scholar 

  40. Dittrich, R., Wreford, A. & Moran, D. A survey of decision-making approaches for climate change adaptation: are robust methods the way forward? Ecol. Econ. 122, 79–89 (2016).

    Article  Google Scholar 

  41. IPCC Climate Change 2014: Synthesis Report (eds Core Writing Team, Pachauri, R. K. & Meyer, L. A.) (IPCC, 2015).

  42. Park, S. E. et al. Informing adaptation responses to climate change through theories of transformation. Global Environ. Change 22, 115–126 (2012).

    Article  Google Scholar 

  43. Wheeler, S., Zuo, A. & Bjornlund, H. Farmers’ Climate Change beliefs and adaptation strategies for a water scarce future in Australia. Global Environ. Change 23, 537–547 (2013).

    Article  Google Scholar 

  44. Water, Growth and Finance—Policy Perspectives (OECD, Paris, 2016).

  45. Grafton, R. Q., Libecap, G., McGlennon, S., Landry, C. & O'Brien, B. An integrated assessment of water markets: a cross-country comparison. Rev. Environ. Econ. Policy 5, 219–239 (2011).

    Article  Google Scholar 

  46. Connor, J. D. & Kaczan, D. in Drought in Arid and Semi-Arid Regions (eds Schwabe, K., Albiac, J., Connor, J. D., Hassan, R. M. & González, L. M.) 357–374 (Springer, Dordrecht, 2013).

  47. Qureshi, M. E., Schwabe, K., Connor, J. & Kirby, M. Environmental water incentive policy and return flows. Water Resour. Res. 46, W04517 (2010).

    Article  Google Scholar 

  48. El-Sadek, A. Virtual water trade as a solution for water scarcity in Egypt. Water Resour. Manage. 24, 2437–2448 (2010).

    Article  Google Scholar 

  49. Porkka, M., Guillaume, J. H. A., Siebert, S., Schaphoff, S. & Kummu, M. The use of food imports to overcome local limits to growth. Earths Future 5, 393–407 (2017).

    Article  Google Scholar 

  50. Grafton, R. Q. et al. Global insights into water resources, climate change and governance. Nat. Clim. Change 3, 315–321 (2013).

    Article  Google Scholar 

  51. van Beek, L. P. H., Wada, Y. & Bierkens, M. F. P. Global monthly water stress: 1. Water balance and water availability. Water Resour. Res. 47, W07517 (2011).

    Google Scholar 

  52. Wada, Y., Wisser, D. & Bierkens, M. F. P. Global modeling of withdrawal, allocation and consumptive use of surface water and groundwater resources. Earth Syst. Dyn. 5, 15–40 (2014).

    Article  Google Scholar 

  53. Hanasaki, N. et al. An integrated model for the assessment of global water resources – Part 1: Model description and input meteorological forcing. Hydrol. Earth Syst. Sci. 12, 1007–1025 (2008).

    Article  Google Scholar 

  54. Flörke, M. et al. Domestic and industrial water uses of the past 60 years as a mirror of socio-economic development: a global simulation study. Global Environ. Change 23, 144–156 (2013).

    Article  Google Scholar 

  55. Müller Schmied, H. et al. Sensitivity of simulated global-scale freshwater fluxes and storages to input data, hydrological model structure, human water use and calibration. Hydrol. Earth Syst. Sci. 18, 3511–3538 (2014).

    Article  Google Scholar 

  56. Warszawski, L. et al. The inter-sectoral impact model intercomparison project (ISI-MIP): project framework. Proc. Natl Acad. Sci. USA 111, 3228–3232 (2014).

    Article  CAS  Google Scholar 

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Acknowledgements

The authors acknowledge the Global Environment Facility (GEF) for funding the development of this research as a part of the ‘Integrated Solutions for Water, Energy, and Land (ISWEL)’ project (GEF Contract Agreement: 6993), and the support of the United Nations Industrial Development Organization. The Water Futures and Solutions Initiative (WFaS) was launched by the International Institute for Applied Systems Analysis, UNESCO/UN-Water, the World Water Council, the International Water Association and the Ministry of Land, Infrastructure and Transport of the Republic of Korea, and has been supported by the government of Norway, the Asian Development Bank and the Austrian Development Agency. More than 35 organizations contribute to the scientific project team, and an additional 25 organizations are represented in stakeholder groups. Furthermore, WFaS relies on numerous databases compiled and made available by many more organizations, which are referred to in this paper. The research described in this paper would not have been possible without the collaboration of all of these organizations in the WFaS Project Team. The WFaS data are available upon request.

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P.G., T.K. and Y.W. designed the study and the associated analysis. P.G. performed all computations. Y.S. preprocessed the data. Y.W., T.K., Y.S., P.B., S.T., G.F., R.B. and S.L. designed the water scenarios. P.G., T.K., J.M., T.S. and Y.W. wrote the manuscript. All authors commented on the manuscript.

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Correspondence to P. Greve.

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Greve, P., Kahil, T., Mochizuki, J. et al. Global assessment of water challenges under uncertainty in water scarcity projections. Nat Sustain 1, 486–494 (2018). https://doi.org/10.1038/s41893-018-0134-9

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