Articles | Volume 22, issue 6
https://doi.org/10.5194/nhess-22-2145-2022
© Author(s) 2022. 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-22-2145-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Characterizing multivariate coastal flooding events in a semi-arid region: the implications of copula choice, sampling, and infrastructure
Joseph T. D. Lucey
Department of Civil and Environmental Engineering, University of California, Los Angeles, Los Angeles, CA 90095, USA
Department of Civil and Environmental Engineering, University of California, Los Angeles, Los Angeles, CA 90095, USA
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Cited
16 citations as recorded by crossref.
- Changes in seasonal compound floods in Vietnam revealed by a time-varying dependence structure of extreme rainfall and high surge H. Wang et al. 10.1016/j.coastaleng.2023.104330
- Quantifying compound flood event uncertainties in a wave and tidally dominated coastal region: The impacts of copula selection, sampling, record length, and precipitation gauge selection J. Lucey & T. Gallien 10.1111/jfr3.12984
- Quantifying compound coastal flooding effects in urban regions using a tightly coupled 1D–2D model explicitly resolving flood defense infrastructure B. Tang et al. 10.1016/j.coastaleng.2025.104728
- Flood risk analysis and mapping under compound hazards: A copula approach for tropical coastal district of Alappuzha, India S. Binoy et al. 10.1016/j.jher.2022.11.004
- Influence of data source and copula statistics on estimates of compound flood extremes in a river mouth environment K. Dubois et al. 10.5194/nhess-24-3245-2024
- Review article: A comprehensive review of compound flooding literature with a focus on coastal and estuarine regions J. Green et al. 10.5194/nhess-25-747-2025
- Modeling compound flood risk and risk reduction using a globally applicable framework: a pilot in the Sofala province of Mozambique D. Eilander et al. 10.5194/nhess-23-2251-2023
- Investigating the Joint Probability of High Coastal Sea Level and High Precipitation N. Pais et al. 10.3390/jmse12030519
- Inundación compuesta en el estuario de Santoña: umbrales bivariados y su aplicación en alertas tempranas D. Gómez-Rave et al. 10.4995/ia.2025.23025
- 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
- Trivariate Joint Distribution Modelling of Compound Events Using the Nonparametric D-Vine Copula Developed Based on a Bernstein and Beta Kernel Copula Density Framework S. Latif & S. Simonovic 10.3390/hydrology9120221
- Modelling compound flooding: a case study from Jakarta, Indonesia W. Bennett et al. 10.1007/s11069-023-06001-1
- Historic Spatial Patterns of Storm-Driven Compound Events in UK Estuaries C. Lyddon et al. 10.1007/s12237-022-01115-4
- A nonstationary bivariate design flood estimation approach coupled with the most likely and expectation combination strategies Y. Hu et al. 10.1016/j.jhydrol.2021.127325
- Predicting Compound Coastal Flooding in Embayment-Backed Urban Catchments: Seawall and Storm Drain Implications B. Tang & T. Gallien 10.3390/jmse11071454
- Assessing the compound flood risk in coastal areas: Framework formulation and demonstration M. Mitu et al. 10.1016/j.jhydrol.2023.130278
12 citations as recorded by crossref.
- Changes in seasonal compound floods in Vietnam revealed by a time-varying dependence structure of extreme rainfall and high surge H. Wang et al. 10.1016/j.coastaleng.2023.104330
- Quantifying compound flood event uncertainties in a wave and tidally dominated coastal region: The impacts of copula selection, sampling, record length, and precipitation gauge selection J. Lucey & T. Gallien 10.1111/jfr3.12984
- Quantifying compound coastal flooding effects in urban regions using a tightly coupled 1D–2D model explicitly resolving flood defense infrastructure B. Tang et al. 10.1016/j.coastaleng.2025.104728
- Flood risk analysis and mapping under compound hazards: A copula approach for tropical coastal district of Alappuzha, India S. Binoy et al. 10.1016/j.jher.2022.11.004
- Influence of data source and copula statistics on estimates of compound flood extremes in a river mouth environment K. Dubois et al. 10.5194/nhess-24-3245-2024
- Review article: A comprehensive review of compound flooding literature with a focus on coastal and estuarine regions J. Green et al. 10.5194/nhess-25-747-2025
- Modeling compound flood risk and risk reduction using a globally applicable framework: a pilot in the Sofala province of Mozambique D. Eilander et al. 10.5194/nhess-23-2251-2023
- Investigating the Joint Probability of High Coastal Sea Level and High Precipitation N. Pais et al. 10.3390/jmse12030519
- Inundación compuesta en el estuario de Santoña: umbrales bivariados y su aplicación en alertas tempranas D. Gómez-Rave et al. 10.4995/ia.2025.23025
- 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
- Trivariate Joint Distribution Modelling of Compound Events Using the Nonparametric D-Vine Copula Developed Based on a Bernstein and Beta Kernel Copula Density Framework S. Latif & S. Simonovic 10.3390/hydrology9120221
- Modelling compound flooding: a case study from Jakarta, Indonesia W. Bennett et al. 10.1007/s11069-023-06001-1
4 citations as recorded by crossref.
- Historic Spatial Patterns of Storm-Driven Compound Events in UK Estuaries C. Lyddon et al. 10.1007/s12237-022-01115-4
- A nonstationary bivariate design flood estimation approach coupled with the most likely and expectation combination strategies Y. Hu et al. 10.1016/j.jhydrol.2021.127325
- Predicting Compound Coastal Flooding in Embayment-Backed Urban Catchments: Seawall and Storm Drain Implications B. Tang & T. Gallien 10.3390/jmse11071454
- Assessing the compound flood risk in coastal areas: Framework formulation and demonstration M. Mitu et al. 10.1016/j.jhydrol.2023.130278
Latest update: 30 May 2025
Short summary
Coastal flooding can result from multiple flood drivers (e.g., tides, waves, river flows, rainfall) occurring at the same time. This study characterizes flooding events caused by high marine water levels and rain. Results show that wet-season coinciding sampling may better describe extreme flooding events in a dry, tidally dominated region. A joint-probability-based function is then used to estimate sea wall impacts on urban coastal flooding.
Coastal flooding can result from multiple flood drivers (e.g., tides, waves, river flows,...
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