Articles | Volume 19, issue 7
https://doi.org/10.5194/nhess-19-1415-2019
© Author(s) 2019. 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-19-1415-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
What's streamflow got to do with it? A probabilistic simulation of the competing oceanographic and fluvial processes driving extreme along-river water levels
Katherine A. Serafin
CORRESPONDING AUTHOR
College of Earth, Ocean, and Atmospheric Sciences, Oregon State University, Corvallis, OR, USA
Department of Geophysics, Stanford University, Stanford, CA, USA
Peter Ruggiero
College of Earth, Ocean, and Atmospheric Sciences, Oregon State University, Corvallis, OR, USA
Kai Parker
School of Civil and Construction Engineering, Oregon State University, Corvallis, OR, USA
David F. Hill
School of Civil and Construction Engineering, Oregon State University, Corvallis, OR, USA
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- Measuring compound flood potential from river discharge and storm surge extremes at the global scale A. Couasnon et al. 10.5194/nhess-20-489-2020
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- Coastal flooding will disproportionately impact people on river deltas D. Edmonds et al. 10.1038/s41467-020-18531-4
- Flood management challenges in transitional environments: Assessing the effects of sea-level rise on compound flooding in the 21st century J. Del-Rosal-Salido et al. 10.1016/j.coastaleng.2021.103872
- Compound Flooding in a Subtropical Estuary Caused by Hurricane Irma 2017 B. Juárez et al. 10.1029/2022GL099360
- Copula-Based Vulnerability Analysis of Civil Infrastructure Subjected to Hurricanes Y. Li et al. 10.3389/fbuil.2020.571911
- A Bayesian copula-based nonstationary framework for compound flood risk assessment along US coastlines K. Naseri & M. Hummel 10.1016/j.jhydrol.2022.128005
- Nature-based solutions as buffers against coastal compound flooding: Exploring potential framework for process-based modeling of hazard mitigation S. Radfar et al. 10.1016/j.scitotenv.2024.173529
- Climate change impact on the compound flood risk in a coastal city K. Xu et al. 10.1016/j.jhydrol.2023.130237
- Modelling the effects of climate change on urban coastal-fluvial flooding J. Kirkpatrick & A. Olbert 10.2166/wcc.2020.166
- Hindcasting compound pluvial, fluvial and coastal flooding during Hurricane Harvey (2017) using Delft3D-FM W. Lee et al. 10.1007/s11069-023-06247-9
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- Compound Effects of Flood Drivers and Wetland Elevation Correction on Coastal Flood Hazard Assessment D. Muñoz et al. 10.1029/2020WR027544
- A Hybrid Framework for Rapidly Locating Transition Zones: A Comparison of Event‐ and Response‐Based Return Water Levels in the Suwannee River FL R. Jane et al. 10.1029/2022WR032481
- Estimating the probability of compound floods in estuarine regions W. Wu et al. 10.5194/hess-25-2821-2021
- Recent Trends in Individual and Multivariate Compound Flood Drivers in Canada's Coasts F. Jalili Pirani & M. Najafi 10.1029/2020WR027785
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Latest update: 09 Nov 2024
Short summary
In coastal environments, extreme water levels driving flooding are often generated by many individual processes like storm surge, streamflow, and tides. To estimate flood drivers along a coastal river, we merge statistical simulations of ocean and river forcing with a hydraulic model to produce water levels. We find both ocean and river forcing are necessary for producing extreme flood levels like the 100-yr event, highlighting the need for considering compound events in flood risk assessments.
In coastal environments, extreme water levels driving flooding are often generated by many...
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