Abstract
The magnitude and frequency of hydrometeorological extremes are expected to increase in the conterminous United States (CONUS) over the rest of this century, and their increase will significantly impact water resource management. In this study, we evaluated the large-scale climate change effects on extreme hydrological events and their implications for reservoir inflows in 138 headwater subbasins located upstream of reservoirs across CONUS using the Variable Infiltration Capacity (VIC) hydrologic model. The VIC model was forced with a 10-member ensemble of global circulation models under the Representative Concentration Pathway 8.5 that were dynamically downscaled using a regional climate model (RegCM4) and bias-corrected to 1/24° grid cell resolution. Four commonly used indices, including mean annual flow, annual center timing, 100-year daily high streamflow, and 10-year 7-day average low streamflow were used for evaluation. The results projected an increase in the high streamflow by 44% for a majority of subbasins upstream of flood control reservoirs in the central United States (US) and a decrease in the low streamflow by 11% for subbasins upstream of hydropower reservoirs across the western US. In the eastern US, frequencies of both high and low streamflow were projected to increase in the majority of subbasins upstream of both hydropower and flood control reservoirs. Increased frequencies of both high and low streamflow events can potentially make reservoirs across CONUS more vulnerable to future climate conditions. This study estimates reservoir inflow changes over the next several decades, which can be used to optimize water supply management downstream.
Original language | English |
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Pages (from-to) | 359-370 |
Number of pages | 12 |
Journal | Journal of Hydrology |
Volume | 556 |
DOIs | |
State | Published - Jan 2018 |
Funding
This study was supported by the U.S. Department of Energy (DOE) Water Power Technologies Office as a part of the SECURE Water Act Section 9505 Assessment, and used resources of the Oak Ridge Leadership Computing Facility at Oak Ridge National Laboratory (ORNL). Huilin Gao was supported by the U.S. National Science Foundation grant CBET-1454297. The ORNL authors are employees of UT-Battelle, LLC, under contract DE-AC05-00OR22725 with DOE. Accordingly, the publisher, by accepting the article for publication, acknowledges that the United States government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States government purposes.
Funders | Funder number |
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National Science Foundation | DE-AC05-00OR22725, CBET-1454297 |
U.S. Department of Energy | |
Oak Ridge National Laboratory | |
Water Power Technologies Office |
Keywords
- RegCM4
- Reservoirs
- Streamflow extremes
- VIC