Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
https://doi.org/10.5194/hess-2016-660
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
13 Jan 2017
Review status
This discussion paper is a preprint. A revision of the manuscript is under review for the journal Hydrology and Earth System Sciences (HESS).
Deduction of Reservoir Operating Rules for Application in Global Hydrological Models
Hubertus M. Coerver1,2, Martine M. Rutten1, and Nick C. van de Giesen1 1Water Resources, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, Netherlands
2UNESCO-IHE Institute for Water Education, Delft, Netherlands
Abstract. A big challenge in constructing Global Hydrological Models is the inclusion of anthropogenic impacts on the water cycle, such as caused by dams. Dam operators make decisions based on experience and often uncertain information. In this study information generally available to dam operators, like inflow into the reservoir and storage levels, was used to derive fuzzy rules describing the way a reservoir is operated. Using an Artificial Neural Network capable of mimicking fuzzy logic, called the Adaptive-Network-Based Inference System, fuzzy rules linking inflow and storage with reservoir release were determined for 11 reservoirs in Central-Asia, the U.S. and Vietnam. By varying the input variables of the neural network, different configurations of fuzzy rules were created and tested. It was found that the release from relatively large reservoirs was significantly dependent on information concerning recent storage levels, while release from smaller reservoirs was more dependent on reservoir inflows. Subsequently, the derived rules were used to simulate reservoir release with an average Nash–Sutcliffe coefficient of 0.81.

Citation: Coerver, H. M., Rutten, M. M., and van de Giesen, N. C.: Deduction of Reservoir Operating Rules for Application in Global Hydrological Models, Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2016-660, in review, 2017.
Hubertus M. Coerver et al.
Hubertus M. Coerver et al.
Hubertus M. Coerver et al.

Viewed

Total article views: 582 (including HTML, PDF, and XML)

HTML PDF XML Total BibTeX EndNote
371 186 25 582 11 32

Views and downloads (calculated since 13 Jan 2017)

Cumulative views and downloads (calculated since 13 Jan 2017)

Viewed (geographical distribution)

Total article views: 582 (including HTML, PDF, and XML)

Thereof 570 with geography defined and 12 with unknown origin.

Country # Views %
  • 1

Saved

Discussed

Latest update: 22 Oct 2017
Publications Copernicus
Download
Short summary
Global hydrological models aim to model hydrological processes, like flows in a river, on a global scale, as opposed to traditional models which are regional. A big challenge in creating these models is the inclusion of impacts on the hydrological cycle caused by humans, for example by the operation of large (hydro-power) dams. The presented study investigates a new way to include these impacts by dams into global hydrological models.
Global hydrological models aim to model hydrological processes, like flows in a river, on a...
Share