Articles | Volume 21, issue 6
https://doi.org/10.5194/nhess-21-1739-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-21-1739-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
02 Jun 2021
Research article |
| 02 Jun 2021
| 02 Jun 2021
Assessing climate-change-induced flood risk in the Conasauga River watershed: an application of ensemble hydrodynamic inundation modeling
Tigstu T. Dullo
Department of Civil and Environmental Engineering, Tennessee
Technological University, Cookeville, TN 38505, USA
George K. Darkwah
Department of Civil and Environmental Engineering, Tennessee
Technological University, Cookeville, TN 38505, USA
Sudershan Gangrade
Environmental Sciences Division, Oak Ridge National Laboratory, Oak
Ridge, TN 37831, USA
Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
Mario Morales-Hernández
Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
Computational Sciences and Engineering Division, Oak Ridge National
Laboratory, Oak Ridge, TN 37831, USA
M. Bulbul Sharif
Department of Computer Science, Tennessee Technological University,
Cookeville, TN 38505, USA
Alfred J. Kalyanapu
CORRESPONDING AUTHOR
Department of Civil and Environmental Engineering, Tennessee
Technological University, Cookeville, TN 38505, USA
Shih-Chieh Kao
Environmental Sciences Division, Oak Ridge National Laboratory, Oak
Ridge, TN 37831, USA
Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
Sheikh Ghafoor
Department of Computer Science, Tennessee Technological University,
Cookeville, TN 38505, USA
Moetasim Ashfaq
Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
Computational Sciences and Engineering Division, Oak Ridge National
Laboratory, Oak Ridge, TN 37831, USA
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- Multi-scenario urban flood risk assessment by integrating future land use change models and hydrodynamic models Q. Sun et al. 10.5194/nhess-22-3815-2022
- Future sea level rise exacerbates compound floods induced by rainstorm and storm tide during super typhoon events: A case study from Zhuhai, China Z. Zeng et al. 10.1016/j.scitotenv.2023.168799
- Reliability Assessment of Computational River Models T. Tsige Dullo et al. 10.1061/(ASCE)IR.1943-4774.0001681
- Modeling the Territorial Structure Dynamics of the Northern Part of the Volga-Akhtuba Floodplain I. Isaeva et al. 10.3390/computation10040062
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8 citations as recorded by crossref.
- Potential impact of diversion canals and retention areas as climate change adaptation measures on flood risk reduction: A hydrological modelling case study from the Chao Phraya River Basin, Thailand S. Padiyedath Gopalan et al. 10.1016/j.scitotenv.2022.156742
- Multi-scenario urban flood risk assessment by integrating future land use change models and hydrodynamic models Q. Sun et al. 10.5194/nhess-22-3815-2022
- Future sea level rise exacerbates compound floods induced by rainstorm and storm tide during super typhoon events: A case study from Zhuhai, China Z. Zeng et al. 10.1016/j.scitotenv.2023.168799
- Reliability Assessment of Computational River Models T. Tsige Dullo et al. 10.1061/(ASCE)IR.1943-4774.0001681
- Modeling the Territorial Structure Dynamics of the Northern Part of the Volga-Akhtuba Floodplain I. Isaeva et al. 10.3390/computation10040062
- Unraveling the 2021 Central Tennessee flood event using a hierarchical multi-model inundation modeling framework S. Gangrade et al. 10.1016/j.jhydrol.2023.130157
- A conceptual model for the estimation of flood damage to power grids P. Asaridis & D. Molinari 10.5194/adgeo-61-1-2023
- SERGHEI (SERGHEI-SWE) v1.0: a performance-portable high-performance parallel-computing shallow-water solver for hydrology and environmental hydraulics D. Caviedes-Voullième et al. 10.5194/gmd-16-977-2023
2 citations as recorded by crossref.
- A Network Observability Framework for Sensor Placement in Flood Control Networks to Improve Flood Situational Awareness and Risk Management H. Farahmand et al. 10.1016/j.ress.2022.108366
- Time-fractional nonlinear evolution of dynamic wave propagation using the Burgers’ equation S. Phumichot et al. 10.1007/s12190-024-02100-9
Latest update: 17 Jul 2024
Short summary
We studied the effect of potential future climate change on floods, flood protection, and electricity infrastructure in the Conasauga River watershed in the US using ensemble hydrodynamic modeling. We used a GPU-accelerated Two-dimensional Runoff Inundation Toolkit for Operational Needs (TRITON) hydrodynamic model to simulate floods. Overall, this study demonstrates how a fast hydrodynamic model can enhance flood frequency maps and vulnerability assessment under changing climatic conditions.
We studied the effect of potential future climate change on floods, flood protection, and...
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