Articles | Volume 21, issue 6
https://doi.org/10.5194/nhess-21-1739-2021
https://doi.org/10.5194/nhess-21-1739-2021
Research article
 | 
02 Jun 2021
Research article |  | 02 Jun 2021

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, and Moetasim Ashfaq

Related authors

SERGHEI v2.1: a Lagrangian Model for Passive Particle Transport using a 2D Shallow Water Model (SERGHEI-LPT)
Pablo Vallés, Mario Morales-Hernández, Volker Roeber, Pilar García-Navarro, and Daniel Caviedes-Voullième
EGUsphere, https://doi.org/10.5194/egusphere-2025-722,https://doi.org/10.5194/egusphere-2025-722, 2025
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
Short summary
Reservoir Assessment Tool version 3.0: a scalable and user-friendly software platform to mobilize the global water management community
Sanchit Minocha, Faisal Hossain, Pritam Das, Sarath Suresh, Shahzaib Khan, George Darkwah, Hyongki Lee, Stefano Galelli, Konstantinos Andreadis, and Perry Oddo
Geosci. Model Dev., 17, 3137–3156, https://doi.org/10.5194/gmd-17-3137-2024,https://doi.org/10.5194/gmd-17-3137-2024, 2024
Short summary
SERGHEI (SERGHEI-SWE) v1.0: a performance-portable high-performance parallel-computing shallow-water solver for hydrology and environmental hydraulics
Daniel Caviedes-Voullième, Mario Morales-Hernández, Matthew R. Norman, and Ilhan Özgen-Xian
Geosci. Model Dev., 16, 977–1008, https://doi.org/10.5194/gmd-16-977-2023,https://doi.org/10.5194/gmd-16-977-2023, 2023
Short summary
A large-scale, high-resolution hydrological model parameter data set for climate change impact assessment for the conterminous US
A. A. Oubeidillah, S.-C. Kao, M. Ashfaq, B. S. Naz, and G. Tootle
Hydrol. Earth Syst. Sci., 18, 67–84, https://doi.org/10.5194/hess-18-67-2014,https://doi.org/10.5194/hess-18-67-2014, 2014

Related subject area

Hydrological Hazards
The 2018–2023 drought in Berlin: impacts and analysis of the perspective of water resources management
Ina Pohle, Sarah Zeilfelder, Johannes Birner, and Benjamin Creutzfeldt
Nat. Hazards Earth Syst. Sci., 25, 1293–1313, https://doi.org/10.5194/nhess-25-1293-2025,https://doi.org/10.5194/nhess-25-1293-2025, 2025
Short summary
Recent large-inland-lake outbursts on the Tibetan Plateau: processes, causes, and mechanisms
Fenglin Xu, Yong Liu, Guoqing Zhang, Ping Zhao, R. Iestyn Woolway, Yani Zhu, Jianting Ju, Tao Zhou, Xue Wang, and Wenfeng Chen
Nat. Hazards Earth Syst. Sci., 25, 1187–1206, https://doi.org/10.5194/nhess-25-1187-2025,https://doi.org/10.5194/nhess-25-1187-2025, 2025
Short summary
Modelling urban stormwater drainage overflows for assessing flood hazards: application to the urban area of Dakar (Senegal)
Laurent Pascal Malang Diémé, Christophe Bouvier, Ansoumana Bodian, and Alpha Sidibé
Nat. Hazards Earth Syst. Sci., 25, 1095–1112, https://doi.org/10.5194/nhess-25-1095-2025,https://doi.org/10.5194/nhess-25-1095-2025, 2025
Short summary
Dynamics and impacts of monsoon-induced geological hazards: a 2022 flood study along the Swat River in Pakistan
Nazir Ahmed Bazai, Mehtab Alam, Peng Cui, Wang Hao, Adil Poshad Khan, Muhammad Waseem, Yao Shunyu, Muhammad Ramzan, Li Wanhong, and Tashfain Ahmed
Nat. Hazards Earth Syst. Sci., 25, 1071–1093, https://doi.org/10.5194/nhess-25-1071-2025,https://doi.org/10.5194/nhess-25-1071-2025, 2025
Short summary
Monte Carlo-based sensitivity analysis of the RIM2D hydrodynamic model for the 2021 flood event in western Germany
Shahin Khosh Bin Ghomash, Patricio Yeste, Heiko Apel, and Viet Dung Nguyen
Nat. Hazards Earth Syst. Sci., 25, 975–990, https://doi.org/10.5194/nhess-25-975-2025,https://doi.org/10.5194/nhess-25-975-2025, 2025
Short summary

Cited articles

AECOM: The Impact of Climate Change and Population Growth on the National Flood Insurance Program through 2100, available at: https://www.aecom.com/content/wp-content/uploads/2016/06/Climate_Change_Report_AECOM_2013-06-11.pdf (last access: 12 October 2019), 2013. 
Akaike, H.: A new look at the statistical model identification, IEEE Transactions on Automatic Control, 19, 716–723, https://doi.org/10.1109/TAC.1974.1100705, 1974. 
Alfieri, L., Salamon, P., Bianchi, A., Neal, J., Bates, P., and Feyen, L.: Advances in Pan-European Flood Hazard Mapping, Hydrol. Process., 28, 4067–4077, https://doi.org/10.1002/hyp.9947, 2014. 
Alfieri, L., Burek, P., Feyen, L., and Forzieri, G.: Global warming increases the frequency of river floods in Europe, Hydrol. Earth Syst. Sci., 19, 2247–2260, https://doi.org/10.5194/hess-19-2247-2015, 2015a. 
Alfieri, L., Feyen, L., Dottori, F., and Bianchi, A.: Ensemble Flood Risk Assessment in Europe Under High End Climate Scenarios, Global Environ. Change, 35, 199–212, https://doi.org/10.1016/j.gloenvcha.2015.09.004, 2015b. 
Download
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.
Share
Altmetrics
Final-revised paper
Preprint