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Title: Assessing climate-change-induced flood risk in the Conasauga River watershed: an application of ensemble hydrodynamic inundation modeling

Abstract

Abstract. This study evaluates the impact of potential future climate change on flood regimes, floodplain protection, and electricity infrastructures across the Conasauga River watershed in the southeastern United States through ensemble hydrodynamic inundation modeling. The ensemble streamflow scenarios were simulated by the Distributed Hydrology Soil Vegetation Model (DHSVM) driven by (1) 1981–2012 Daymet meteorological observations and (2) 11 sets of downscaled global climate models (GCMs) during the 1966–2005 historical and 2011–2050 future periods. Surface inundation was simulated using a GPU-accelerated Two-dimensional Runoff Inundation Toolkit for Operational Needs (TRITON) hydrodynamic model. A total of 9 out of the 11 GCMs exhibit an increase in the mean ensemble flood inundation areas. Moreover, at the 1 % annual exceedance probability level, the flood inundation frequency curves indicate a ∼ 16 km2 increase in floodplain area. The assessment also shows that even after flood-proofing, four of the substations could still be affected in the projected future period. The increase in floodplain area and substation vulnerability highlights the need to account for climate change in floodplain management. Overall, this study provides a proof-of-concept demonstration of how the computationally intensive hydrodynamic inundation modeling can be used to enhance flood frequency maps and vulnerability assessment under the changing climatic conditions.

Authors:
; ORCiD logo; ORCiD logo; ORCiD logo; ; ORCiD logo; ORCiD logo; ; ORCiD logo
Publication Date:
Research Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)
Sponsoring Org.:
USDOE
OSTI Identifier:
1785582
Alternate Identifier(s):
OSTI ID: 1797678
Grant/Contract Number:  
4000164401; AC05-00OR22725
Resource Type:
Published Article
Journal Name:
Natural Hazards and Earth System Sciences (Online)
Additional Journal Information:
Journal Name: Natural Hazards and Earth System Sciences (Online) Journal Volume: 21 Journal Issue: 6; Journal ID: ISSN 1684-9981
Publisher:
Copernicus GmbH
Country of Publication:
Germany
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Dullo, Tigstu T., Darkwah, George K., Gangrade, Sudershan, Morales-Hernández, Mario, Sharif, M. Bulbul, Kalyanapu, Alfred J., Kao, Shih-Chieh, Ghafoor, Sheikh, and Ashfaq, Moetasim. Assessing climate-change-induced flood risk in the Conasauga River watershed: an application of ensemble hydrodynamic inundation modeling. Germany: N. p., 2021. Web. doi:10.5194/nhess-21-1739-2021.
Dullo, Tigstu T., Darkwah, George K., Gangrade, Sudershan, Morales-Hernández, Mario, Sharif, M. Bulbul, Kalyanapu, Alfred J., Kao, Shih-Chieh, Ghafoor, Sheikh, & Ashfaq, Moetasim. Assessing climate-change-induced flood risk in the Conasauga River watershed: an application of ensemble hydrodynamic inundation modeling. Germany. https://doi.org/10.5194/nhess-21-1739-2021
Dullo, Tigstu T., Darkwah, George K., Gangrade, Sudershan, Morales-Hernández, Mario, Sharif, M. Bulbul, Kalyanapu, Alfred J., Kao, Shih-Chieh, Ghafoor, Sheikh, and Ashfaq, Moetasim. Wed . "Assessing climate-change-induced flood risk in the Conasauga River watershed: an application of ensemble hydrodynamic inundation modeling". Germany. https://doi.org/10.5194/nhess-21-1739-2021.
@article{osti_1785582,
title = {Assessing climate-change-induced flood risk in the Conasauga River watershed: an application of ensemble hydrodynamic inundation modeling},
author = {Dullo, Tigstu T. and Darkwah, George K. and Gangrade, Sudershan and Morales-Hernández, Mario and Sharif, M. Bulbul and Kalyanapu, Alfred J. and Kao, Shih-Chieh and Ghafoor, Sheikh and Ashfaq, Moetasim},
abstractNote = {Abstract. This study evaluates the impact of potential future climate change on flood regimes, floodplain protection, and electricity infrastructures across the Conasauga River watershed in the southeastern United States through ensemble hydrodynamic inundation modeling. The ensemble streamflow scenarios were simulated by the Distributed Hydrology Soil Vegetation Model (DHSVM) driven by (1) 1981–2012 Daymet meteorological observations and (2) 11 sets of downscaled global climate models (GCMs) during the 1966–2005 historical and 2011–2050 future periods. Surface inundation was simulated using a GPU-accelerated Two-dimensional Runoff Inundation Toolkit for Operational Needs (TRITON) hydrodynamic model. A total of 9 out of the 11 GCMs exhibit an increase in the mean ensemble flood inundation areas. Moreover, at the 1 % annual exceedance probability level, the flood inundation frequency curves indicate a ∼ 16 km2 increase in floodplain area. The assessment also shows that even after flood-proofing, four of the substations could still be affected in the projected future period. The increase in floodplain area and substation vulnerability highlights the need to account for climate change in floodplain management. Overall, this study provides a proof-of-concept demonstration of how the computationally intensive hydrodynamic inundation modeling can be used to enhance flood frequency maps and vulnerability assessment under the changing climatic conditions.},
doi = {10.5194/nhess-21-1739-2021},
journal = {Natural Hazards and Earth System Sciences (Online)},
number = 6,
volume = 21,
place = {Germany},
year = {Wed Jun 02 00:00:00 EDT 2021},
month = {Wed Jun 02 00:00:00 EDT 2021}
}

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