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

Tigstu T. Dullo, George K. Darkwah, Sudershan Gangrade, Mario Morales-Hernández, M. Bulbul Sharif, Alfred J. Kalyanapu, Shih Chieh Kao, Sheikh Ghafoor, Moetasim Ashfaq

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

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-ofconcept 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.

Original languageEnglish
Pages (from-to)1739-1757
Number of pages19
JournalNatural Hazards and Earth System Sciences
Volume21
Issue number6
DOIs
StatePublished - Jun 2 2021

Funding

Financial support. This research has been supported by the US Air Copyright statement. This paper has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this paper, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan). Acknowledgements. This study was supported by the US Air Force Numerical Weather Modeling Program. Tigstu T. Dullo, M. Bulbul Sharif, Alfred J. Kalyanapu, and Sudershan Gangrade also acknowledge support by the Center of Management, Utilization, and Protection of Water Resources at Tennessee Technological University. Some portion of the project was funded by UT-Battelle subcontract no. 4000164401. The research used resources of the Oak Ridge Leadership Computing Facility at Oak Ridge National Laboratory. The input data sets are cited throughout the paper, as appropriate.

FundersFunder number
Center of Management, Utilization, and Protection of Water Resources at Tennessee Technological University
US Air
US Air Force Numerical Weather Modeling Program
U.S. Department of Energy
UT-Battelle4000164401

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