The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Future global urban water scarcity and potential solutions
Open accessAbstract
Urbanization and climate change are together exacerbating water scarcity—where water demand exceeds availability—for the world’s cities. We quantify global urban water scarcity in 2016 and 2050 under four socioeconomic and climate change scenarios, and explored potential solutions. Here we show the global urban population facing water scarcity is projected to increase from 933 million (one third of global urban population) in 2016 to 1.693–2.373 billion people (one third to nearly half of global urban population) in 2050, with India projected to be most severely affected in terms of growth in water-scarce urban population (increase of 153–422 million people). The number of large cities exposed to water scarcity is projected to increase from 193 to 193–284, including 10–20 megacities. More than two thirds of water-scarce cities can relieve water scarcity by infrastructure investment, but the potentially significant environmental trade-offs associated with large-scale water scarcity solutions must be guarded against.
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Cites
Global threats to human water security and river biodiversity
Vörösmarty, C. J., McIntyre, P. B., Gessner, M. O., Dudgeon, D., Prusevich, A., Green, P., Glidden, S., Bunn, S. E., Sullivan, C. A., Liermann, C. R., et al. (2010) · Nature · doi:10.1038/nature09440 · Cited by 7,582
The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6
O'Neill, B. C., Tebaldi, C., van Vuuren, D. P., Eyring, V., Friedlingstein, P., Hurtt, G., Knutti, R., Kriegler, E., Lamarque, J.-F., Lowe, J., et al. (2016) · Geoscientific Model Development · doi:10.5194/gmd-9-3461-2016 · Cited by 5,241 · cited 4×
“5 represents a rapid development pathway and very high radiative forcing 38 .”
BackgroundMethodInfluentialGlobal forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools
Seto, K. C., Güneralp, B., & Hutyra, L. R. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1211658109 · Cited by 5,086 · cited 1×
“Since the scenarios used in existing urban land forecasts are now dated 43,44 , we simulated the spatial distribution of global urban land in 2050 under each SSP at a grid-cell resolution of 1km 2 using the zoned Land Use Scenario Dynamics-urban (LUSD-urban) model 45 – 47 (Supplementary Methods 1).”
MethodMapping 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
Anthropogenic land use estimates for the Holocene – HYDE 3.2
Klein Goldewijk, K., Beusen, A., Doelman, J., & Stehfest, E. (2017) · Earth System Science Data · doi:10.5194/essd-9-927-2017 · Cited by 1,204
Cited by
Cooling cities through urban green infrastructure: a health impact assessment of European cities
Iungman, T., Cirach, M., Marando, F., Pereira Barboza, E., Khomenko, S., Masselot, P., Quijal-Zamorano, M., Mueller, N., Gasparrini, A., Urquiza, J., et al. (2023) · The Lancet · doi:10.1016/s0140-6736(22)02585-5 · Cited by 563
Liu, H., Shen, W., Jin, H., Xu, J., Xi, P., Dong, J., Zheng, Y., & Qiao, S. (2023) · Angewandte Chemie International Edition · doi:10.1002/anie.202311674 · Cited by 298
Ramu, S. P., Boopalan, P., Pham, Q.-V., Maddikunta, P. K. R., Huynh-The, T., Alazab, M., Nguyen, T. T., & Gadekallu, T. R. (2022) · Sustainable Cities and Society · doi:10.1016/j.scs.2021.103663 · Cited by 301
Large language models for life cycle assessments: Opportunities, challenges, and risks
Preuss, N., Alshehri, A. S., & You, F. (2024) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2024.142824 · Cited by 71
Sun, H., Chen, H., Humayun, M., Qiu, Y., Ju, J., Zhang, Y., Bououdina, M., Xue, X., Liu, Q., Pang, Y., et al. (2024) · Advanced Functional Materials · doi:10.1002/adfm.202408872 · Cited by 65
Metadata
- Authors
- He, C., Liu, Z., Wu, J., Pan, X., Fang, Z., Li, J., & Bryan, B. A.
- Venue
- Nature Communications
- Published
- 2021-08-03
- Volume
- 12
- Issue
- 1
- Pages
- 4667-4667
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W3192714106
- Cited by
- 1,860
- References
- 5
- FWCI
- 114.43
- Type
- journal article
- Language
- en
- Open access
- gold
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- He, C., Liu, Z., Wu, J., Pan, X., Fang, Z., Li, J., & Bryan, B. A. (2021). Future global urban water scarcity and potential solutions. Nature Communications. https://doi.org/10.1038/s41467-021-25026-3
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
