Integrating a reservoir regulation scheme into a spatially distributed hydrological model
Abstract
During the past several decades, numerous reservoirs have been built across the world for a variety of purposes such as flood control, irrigation, municipal/industrial water supplies, and hydropower generation. Consequently, timing and magnitude of natural streamflows have been altered significantly by reservoir operations. In addition, the hydrological cycle can be modified by land-use/land-cover and climate changes. To understand the fine-scale feedback between hydrological processes and water management decisions, a distributed hydrological model embedded with a reservoir component is desired. In this study, a multi-purpose reservoir module with predefined complex operational rules was integrated into the Distributed Hydrology Soil Vegetation Model (DHSVM). Conditional operating rules, which are designed to reduce flood risk and enhance water supply reliability, were adopted in this module. The performance of the integrated model was tested over the upper Brazos River Basin in Texas, where two U.S. Army Corps of Engineers reservoirs, Lake Whitney and Aquilla Lake, are located. The integrated DHSVM was calibrated and validated using observed reservoir inflow, outflow, and storage data. The error statistics were summarized for both reservoirs on a daily, weekly, and monthly basis. Using the weekly reservoir storage for Lake Whitney as an example, the coefficient of determination (R2) and themore »
- Authors:
-
- Texas A & M Univ., College Station, TX (United States)
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Publication Date:
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)
- Sponsoring Org.:
- USDOE Office of Science (SC); USDOE Laboratory Directed Research and Development (LDRD) Program
- OSTI Identifier:
- 1337844
- Grant/Contract Number:
- AC05-00OR22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Advances in Water Resources
- Additional Journal Information:
- Journal Volume: 98; Journal Issue: C; Journal ID: ISSN 0309-1708
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 13 HYDRO ENERGY; 54 ENVIRONMENTAL SCIENCES; reservoir; DHSVM; water resources; operation rules
Citation Formats
Zhao, Gang, Gao, Huili, Naz, Bibi S, Kao, Shih -Chieh, and Voisin, Nathalie. Integrating a reservoir regulation scheme into a spatially distributed hydrological model. United States: N. p., 2016.
Web. doi:10.1016/j.advwatres.2016.10.014.
Zhao, Gang, Gao, Huili, Naz, Bibi S, Kao, Shih -Chieh, & Voisin, Nathalie. Integrating a reservoir regulation scheme into a spatially distributed hydrological model. United States. https://doi.org/10.1016/j.advwatres.2016.10.014
Zhao, Gang, Gao, Huili, Naz, Bibi S, Kao, Shih -Chieh, and Voisin, Nathalie. Fri .
"Integrating a reservoir regulation scheme into a spatially distributed hydrological model". United States. https://doi.org/10.1016/j.advwatres.2016.10.014. https://www.osti.gov/servlets/purl/1337844.
@article{osti_1337844,
title = {Integrating a reservoir regulation scheme into a spatially distributed hydrological model},
author = {Zhao, Gang and Gao, Huili and Naz, Bibi S and Kao, Shih -Chieh and Voisin, Nathalie},
abstractNote = {During the past several decades, numerous reservoirs have been built across the world for a variety of purposes such as flood control, irrigation, municipal/industrial water supplies, and hydropower generation. Consequently, timing and magnitude of natural streamflows have been altered significantly by reservoir operations. In addition, the hydrological cycle can be modified by land-use/land-cover and climate changes. To understand the fine-scale feedback between hydrological processes and water management decisions, a distributed hydrological model embedded with a reservoir component is desired. In this study, a multi-purpose reservoir module with predefined complex operational rules was integrated into the Distributed Hydrology Soil Vegetation Model (DHSVM). Conditional operating rules, which are designed to reduce flood risk and enhance water supply reliability, were adopted in this module. The performance of the integrated model was tested over the upper Brazos River Basin in Texas, where two U.S. Army Corps of Engineers reservoirs, Lake Whitney and Aquilla Lake, are located. The integrated DHSVM was calibrated and validated using observed reservoir inflow, outflow, and storage data. The error statistics were summarized for both reservoirs on a daily, weekly, and monthly basis. Using the weekly reservoir storage for Lake Whitney as an example, the coefficient of determination (R2) and the Nash-Sutcliff Efficiency (NSE) were 0.85 and 0.75, respectively. These results suggest that this reservoir module holds promise for use in sub-monthly hydrological simulations. Furthermore, with the new reservoir component, the DHSVM provides a platform to support adaptive water resources management under the impacts of evolving anthropogenic activities and substantial environmental changes.},
doi = {10.1016/j.advwatres.2016.10.014},
journal = {Advances in Water Resources},
number = C,
volume = 98,
place = {United States},
year = {Fri Oct 14 00:00:00 EDT 2016},
month = {Fri Oct 14 00:00:00 EDT 2016}
}
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