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Title: Effects of climate change on streamflow extremes and implications for reservoir inflow in the United States

Journal Article · · Journal of Hydrology
 [1]; ORCiD logo [2]; ORCiD logo [2];  [3];  [4];  [4]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Forschungszentrum Julich GmbH, Julich (Germany)
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  3. Texas A & M Univ., College Station, TX (United States)
  4. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Univ. of Tennessee, Knoxville, TN (United States)

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. While previous efforts focused on the effects of reservoirs on downstream discharge, the effects of climate change on reservoir inflows in upstream areas are not well understood. We evaluated the large-scale climate change effects on extreme hydrological events and their implications for reservoir inflows in 178 headwater basins 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. The results projected an increase in the likelihood of flood risk by 44% for a majority of subbasins upstream of flood control reservoirs in the central United States and increased drought risk by 11% for subbasins upstream of hydropower reservoirs across the western United States. Increased risk of both floods and droughts can potentially make reservoirs across CONUS more vulnerable to future climate conditions. In conclusion, this study estimates reservoir inflow changes over the next several decades, which can be used to optimize water supply management downstream.

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)
Sponsoring Organization:
USDOE Office of Science (SC); USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Water Power Technologies Office
Grant/Contract Number:
AC05-00OR22725
OSTI ID:
1410930
Alternate ID(s):
OSTI ID: 1576618
Journal Information:
Journal of Hydrology, Vol. 556, Issue C; ISSN 0022-1694
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 48 works
Citation information provided by
Web of Science

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Cited By (8)

Prediction of Reservoir Storage Anomalies in India journal April 2019
Quantifying impacts of climate variability and human activities on the streamflow of an Alpine river journal September 2018
Spatio-temporal changes and their relationship in water resources and agricultural disasters across China journal March 2019
In Quest of Calibration Density and Consistency in Hydrologic Modeling: Distributed Parameter Calibration against Streamflow Characteristics journal September 2019
A Review of Water Quality Responses to Air Temperature and Precipitation Changes 1: Flow, Water Temperature, Saltwater Intrusion journal December 2018
Spatio-temporal changes and their relationship in water resources and agricultural disasters across China text January 2019
Spatio-temporal changes and their relationship in water resources and agricultural disasters across China text January 2019
Multi-model Hydroclimate Projections for the Alabama-Coosa-Tallapoosa River Basin in the Southeastern United States journal February 2020

Figures / Tables (8)


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