A modeling framework for evaluating the drought resilience of a surface water supply system under non-stationarity
- 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)
- Forschungszentrum Julich, Julich (Germany)
- Publication Date:
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE)
- OSTI Identifier:
- 1440826
- Alternate Identifier(s):
- OSTI ID: 1454775; OSTI ID: 1548252
- Report Number(s):
- PNNL-SA-135071
Journal ID: ISSN 0022-1694
- Grant/Contract Number:
- AC05-00OR22725; CBET-1454297; AC05-76RL01830
- Resource Type:
- Journal Article: Accepted Manuscript
- Journal Name:
- Journal of Hydrology
- Additional Journal Information:
- Journal Volume: 563; Journal Issue: C; Journal ID: ISSN 0022-1694
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; Water supply resilience; Non-stationarity; Droughts; Climate change; Demand growth
Citation Formats
Zhao, Gang, Gao, Huilin, Kao, Shih -Chieh, Voisin, Nathalie, and Naz, Bibi S. A modeling framework for evaluating the drought resilience of a surface water supply system under non-stationarity. United States: N. p., 2018.
Web. doi:10.1016/j.jhydrol.2018.05.037.
Zhao, Gang, Gao, Huilin, Kao, Shih -Chieh, Voisin, Nathalie, & Naz, Bibi S. A modeling framework for evaluating the drought resilience of a surface water supply system under non-stationarity. United States. https://doi.org/10.1016/j.jhydrol.2018.05.037
Zhao, Gang, Gao, Huilin, Kao, Shih -Chieh, Voisin, Nathalie, and Naz, Bibi S. 2018.
"A modeling framework for evaluating the drought resilience of a surface water supply system under non-stationarity". United States. https://doi.org/10.1016/j.jhydrol.2018.05.037. https://www.osti.gov/servlets/purl/1440826.
@article{osti_1440826,
title = {A modeling framework for evaluating the drought resilience of a surface water supply system under non-stationarity},
author = {Zhao, Gang and Gao, Huilin and Kao, Shih -Chieh and Voisin, Nathalie and Naz, Bibi S.},
abstractNote = {},
doi = {10.1016/j.jhydrol.2018.05.037},
url = {https://www.osti.gov/biblio/1440826},
journal = {Journal of Hydrology},
issn = {0022-1694},
number = C,
volume = 563,
place = {United States},
year = {Wed May 23 00:00:00 EDT 2018},
month = {Wed May 23 00:00:00 EDT 2018}
}
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Cited by: 15 works
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Figures / Tables:
Figure 1: Simulated watersheds which provide inflows to the Dallas water source reservoirs. Both the reservoirs and USGS streamflow gauges used for model calibration and validation are indicated.
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Works referencing / citing this record:
Resilience‐based component importance measures
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Figures/Tables have been extracted from DOE-funded journal article accepted manuscripts.