Articles | Volume 20, issue 5
Research article
12 May 2016
Research article |  | 12 May 2016

Adaptation of water resource systems to an uncertain future

Claire L. Walsh, Stephen Blenkinsop, Hayley J. Fowler, Aidan Burton, Richard J. Dawson, Vassilis Glenis, Lucy J. Manning, Golnaz Jahanshahi, and Chris G. Kilsby

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Cited articles

Beh, E. H. Y., Maier, H. R., and Dandy, G. C.: Scenario driven optimal sequencing under deep uncertainty, Environ. Modell. Softw., 68, 181–195,, 2015a.
Beh, E. H. Y., Maier, H. R., and Dandy, G. C.: Adaptive, multiobjective optimal sequencing approach for urban water supply augmentation under deep uncertainty, Water Resour. Res., 51, 1529–1551,, 2015b.
Blanc, J., Hall, J. W., Roche, N., Dawson, R. J., Cesses, Y., Burton, A., Kilsby, C. G.: Enhanced efficiency of pluvial flood risk estimation in urban areas using spatial-temporal rainfall simulations, Journal of Flood Risk Management, 5, 143–152,, 2012.
Blenkinsop, S. and Fowler, H. J.: Changes in drought frequency, severity and duration for the British Isles projected by the PRUDENCE regional climate models, J. Hydrol., 342, 50–71,, 2007.
Blenkinsop, S., Harpham, C., Burton, A., Goderniaux, P., Brouyère, S., and Fowler, H. J.: Downscaling transient climate change with a stochastic weather generator for the Geer catchment, Belgium, Clim. Res., 57, 95–109,, 2013.
Short summary
Changing climate and growing populations pose significant challenges for managing water resources. However, a better understanding of these would contribute to improved decisions about how adequate water supplies are maintained. In this paper, we show that a portfolio of both demand management and new supply options are required for the Thames Basin, which provides the majority of water for London, to help alleviate climate and population challenges in the future.