By Matteo Giuliani, Jon Herman and Julianne Quinn
This repository contains code for generating correlated synthetic daily streamflow time series at multiple sites assuming stationary hydrology. Monthly flows are generated using Cholesky decomposition (see Kirsch et al. 2013) and then disaggregated to daily flows by proportionally scaling daily flows from a randomly selected historical month +/- 7 days as in Nowak et al. (2010).
A full description is provided in MethodDescription.pdf in this directory. This code was used to generate synthetic flows in the following papers:
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Giuliani, M., J.D. Quinn, J.D. Herman, A. Castelletti and P.M. Reed, 2017, "Scalable multiobjective control for large-scale water resources systems under uncertainty", IEEE Transactions on Control Systems Technology, 99, doi: 10.1109/TCST.2017.2705162.
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Quinn, J.D., P.M. Reed, M. Giuliani and A. Castelletti, 2017, "Rival Framings: A framework for discovering how problem formulation uncertainties shape risk management trade-offs in water resources systems", Water Resources Research, 53, doi: 10.1002/2017WR020524.
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Zatarain Salazar, J., P.M. Reed, J.D. Quinn, M. Giuliani and A. Castelletti, 2017, "Balancing exploration, uncertainty and computational demands in many objective reservoir optimization", Advances in Water Resources, 109, 196-210, doi: 10.1016/j.advwatres.2017.09.014.
Licensed under the GNU Lesser General Public License.
Contents:
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monsoonal_rescaling: Directory containing Python code to rescale synthetic streamflows by changing the log-space mean, log-space standard deviation, and amplitudes and phase shifts of harmonics fit to the log-space annual cycle. Includes a README describing how to run the code. This method is used for the Red River basin in Vietnam in the following paper: Quinn, J.D., P.M. Reed, M. Giuliani, A. Castelletti, J.W. Oyler, R.E. Nicholas, 2018, "Exploring how changing monsoonal dynamics and human pressures challenge multi-reservoir management for flood protection, hydropower production and agricultural water supply", Water Resources Research, 54, doi: 10.1029/2018WR022743. -
data: Directory containing example data set for the Susquehanna River Basin (for a description of the system, see Giuliani, M., J.D. Herman, A. Castellett, P.M. Reed, 2014, "Many-objective reservoir policy identification and refinement to reduce policy inertia and myopia in water management", Water Resources Research, 50, doi: 10.1002/ 2013WR014700). -
stationary_generator: Directory containing MATLAB code to generate correlated synthetic daily streamflow time series at multiple sites assuming stationary hydrology. Includes a README describing how to run the code. -
validation: Directory containing Python code to validate performance of synthetic streamflow generator. Includes a README describing how to run the code.