Articles | Volume 19, issue 8
Research article
12 Aug 2015
Research article |  | 12 Aug 2015

Improving multi-objective reservoir operation optimization with sensitivity-informed dimension reduction

J. Chu, C. Zhang, G. Fu, Y. Li, and H. Zhou

Related authors

Evaluation of global fine-resolution precipitation products and their uncertainty quantification in ensemble discharge simulations
W. Qi, C. Zhang, G. Fu, C. Sweetapple, and H. Zhou
Hydrol. Earth Syst. Sci., 20, 903–920,,, 2016
Short summary

Related subject area

Subject: Water Resources Management | Techniques and Approaches: Modelling approaches
Flexible forecast value metric suitable for a wide range of decisions: application using probabilistic subseasonal streamflow forecasts
Richard Laugesen, Mark Thyer, David McInerney, and Dmitri Kavetski
Hydrol. Earth Syst. Sci., 27, 873–893,,, 2023
Short summary
An improved model of shade-affected stream temperature in Soil & Water Assessment Tool
Efrain Noa-Yarasca, Meghna Babbar-Sebens, and Chris Jordan
Hydrol. Earth Syst. Sci., 27, 739–759,,, 2023
Short summary
Seasonal forecasting of snow resources at Alpine sites
Silvia Terzago, Giulio Bongiovanni, and Jost von Hardenberg
Hydrol. Earth Syst. Sci., 27, 519–542,,, 2023
Short summary
Operationalizing equity in multipurpose water systems
Guang Yang, Matteo Giuliani, and Andrea Castelletti
Hydrol. Earth Syst. Sci., 27, 69–81,,, 2023
Short summary
Evaluation of a new observationally based channel parameterization for the National Water Model
Aaron Heldmyer, Ben Livneh, James McCreight, Laura Read, Joseph Kasprzyk, and Toby Minear
Hydrol. Earth Syst. Sci., 26, 6121–6136,,, 2022
Short summary

Cited articles

Castelletti, A., Pianosi, F., Quach, X., and Soncini-Sessa, R.: Assessing water reservoirs management and development in Northern Vietnam, Hydro l. Earth Syst. Sci., 16, 189–199,, 2012.
Celeste, A. B. and Billib, M.: Evaluation of stochastic reservoir operation optimization models, Adv. Water Resour., 32, 1429–1443, 2009.
Chang, F. J., Chen, L., and Chang, L. C.: Optimizing the reservoir operating rule curves by genetic algorithms, Hydrol. Process., 19, 2277–2289, 2005.
Chang, J. X., Bai, T., Huang, Q., and Yang, D. W.: Optimization of water resources utilization by PSO-GA, Water Resour. Manag., 27, 3525–3540, 2013.
Chen, L.: Real coded genetic algorithm optimization of long term reservoir operation, J. Am. Water Resour. As., 39, 1157–1165, 2003.
Short summary
This study investigates the effectiveness of a sensitivity-informed method for multi-objective operation of reservoir systems, which uses a global sensitivity analysis method to screen out insensitive decision variables and thus forms simplified problems with a significantly reduced number of decision variables. We find that it is important to consider variable interactions when formulating simplified problems, and problem decomposition dramatically improves search efficiency and effectiveness.