Articles | Volume 23, issue 2
Hydrol. Earth Syst. Sci., 23, 1145–1162, 2019
Hydrol. Earth Syst. Sci., 23, 1145–1162, 2019

Research article 28 Feb 2019

Research article | 28 Feb 2019

Incorporating the logistic regression into a decision-centric assessment of climate change impacts on a complex river system

Daeha Kim et al.

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Cited articles

Apipattanavis, S., Podesta, G., Rajagopalan, B., and Katz, R. W.: A semiparametric multivariate and multisite weather generator, Water Resour. Res., 43, W11401,, 2007. 
Bae, D.-H., Jung, I.-W., and Chang, H: Long-term trend of precipitation and runoff in Korean river basins, Hydrol. Process., 22, 2644–2656, 2008. 
Brown, C., and Wilby, R. L.: An alternate approach to assessing climate risks, Eos Trans. AGU, 93, 401, 2012. 
Brown, C., Ghile, Y., Laverty, M., and Li, K.: Decision scaling: linking bottom-up vulnerability analysis with climate projections in the water sector, Water Resour. Res., 48, W09537,, 2012. 
Brown, C. M., Lund, J. R., Cai, X., Reed, P. M., Zagona, E. A., Ostfeld, A., Hall, J., Characklis, G. W., Yu, W., and Brekke, L.: The future of water resources systems analysis: Toward a scientific framework for sustainable water management, Water Resour. Res., 51, 6110–6124,, 2015. 
Short summary
In this study, we proposed an approach for gauging the risks of non-successful water supply and environmental reliabilities varying across a large river basin. The proposed method enables the measurement of system robustness to climate change with consideration of conflicting stakeholder interests. We simply converted the expected system performance under climate stresses into binary outcomes and applied them to the logistic regressions. A case study for a South Korean river basin is provided.