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Title: A modeling framework for evaluating the drought resilience of a surface water supply system under non-stationarity

Authors:
ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [3];  [4]
  1. Texas A & M Univ., College Station, TX (United States)
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  3. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  4. 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}
}

Journal Article:

Citation Metrics:
Cited by: 15 works
Citation information provided by
Web of Science

Figures / Tables:

Figure 1 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
journal, November 2019


The power to define resilience in social–hydrological systems: Toward a power‐sensitive resilience framework
journal, September 2019