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13 results for “Compound Flooding”
Joint series underlying the paper " Compound coastal-riverine flooding of St. Lawrence River coasts under sea level rise conditions"
<p>Compound coastal-riverine flooding, known as flooding events caused by the co-occurrence of high streamflow and coast water levels, can have substantial economic and social implications in low-lying coastal regions. Recent studies over Canada’s coasts have shown that neglecting the interdependency between flood drivers can underestimate the risk of flooding by up to 50%. However, to date, such interdependency and its effect on the frequency of compound riverine-coastal flooding has not been investigated for the coasts of the St. Lawrence River, Estuary, and Gulf system (StL), where Sea Level Rise (SLR), along with intensified river peaks, are already threatening communities. In this study, a copula-based bivariate frequency analysis (AND hazard scenario) was applied to quantify the differences between joint return periods computed under dependent and independent assumptions, for 26 sites along the StL. Furthermore, design pairs for 100-year joint events in the historical period (1986-2020) were compared with the 2100 horizon, where the SLR associated with the RCP8.5 emission scenario was incorporated into the water level time series. Results show that 1) the independence assumption can underestimate the frequency of compound flooding in the Fluvial Section of the StL by up to 30 times and 2) the SLR can increase the frequency of compound flooding by up to 50 times in the Estuary and the Gulf and by up to 5 times in the Fluvial Section of the StL. This study highlights the need for explicit consideration of the dependence between flood drivers and of SLR in the delineation of flood maps along all of the coasts of the St. Lawrence.</p>
Compound flood potential from river discharge and storm surge extremes at the global scale
<p>This dataset presents the results presented in <a href="https://doi.org/10.5194/nhess-20-489-2020">Couasnon et al. (2019) - Measuring compound flood potential from river discharge and storm surge extremes at the global scale</a>. For more information about the methods, please refer to the paper. This dataset was created using as input <a href="https://zenodo.org/record/3552820#.XmIdoVxKhaQ">time series of discharge and maximum storm surge at river mouths globally from 1980 - 2014</a>.</p> <p>If using this data, please cite: </p> <p>Couasnon, A., Eilander, D., Muis, S., Veldkamp, T. I. E., Haigh, I. D., Wahl, T., Winsemius, H. C., and Ward, P. J.: Measuring compound flood potential from river discharge and storm surge extremes at the global scale, Nat. Hazards Earth Syst. Sci., 20, 489–504, https://doi.org/10.5194/nhess-20-489-2020, 2020.</p>
Compound Flood Risk Guidelines test data
<p>Time series data of flood drivers (discharge, rainfall, coastal water levels) for various case studies in support of compound fllood risk guidelines.</p> <p>version 1: data for Charleston, NC, USA & BrisBane, AUS.</p> <p>version 2; added data for Toamasina, MDG</p> <p>version 3: consistent file structure</p> <p>version 4: reduce coastal time series to 30min temporal resolution</p>
Repo for Compound Continental Risk of Multiple Extreme Floods in the United States
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Modelling compound flooding: A case study from Indonesia
<p>Flood-prone areas can be vulnerable to a range of flooding mechanisms, with the associated hazards likely to increase due to the impacts of global climate change. Here, we investigate compound flooding from waves, sea surge and river flow in northern Jakarta, Indonesia, which is a global hotspot of flooding, by combining process-based coastal and river models. The coastal hydrodynamic modelling of Jakarta Bay shows that, coastal storms can lead to substantial increase in sea water level due to wind and wave setup in the nearshore areas. The compound flood hazard in the low-lying coastal areas surrounding the West Flood Canal in the northern Jakarta, which drains the Cilliwung river, from a range of statistically significant compound flood scenarios, was simulated and analysed. The results reveal that low-lying areas around the river estuary are prone to flooding even during regular, low-intensity storm events while rarer storms caused extensive floods. Floods were not caused by direct overwashing of sea defences but by overspill of riverbanks due to high sea water level caused by wind and wave setup and sea surge obstructing high river flows during compound events. Potential changes to future flooding in the northern Jakarta were investigated by taking into account the regional sea level rise and land subsidence in Jakarta in numerical flood simulations. It was found that the sea level rise combined with rapid land subsidence will inundate the existing coastal flood defences during storms. As vast areas of the city will be below mean sea level by 2100, overwashing of coastal defences will lead to extensive flooding in the northern, western, and eastern Jakarta even during more frequent low-intensity storms. </p>
Data from: Compound post-fire flood hazards considering infrastructure sedimentation
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Mangroves as nature-based mitigation for ENSO-driven compound flood risks in a large river delta: supporting data - high water levels
<p>This dataset contains modelled high water levels in the Guayas delta supporting the paper 'Mangroves as nature-based mitigation for ENSO-driven compound flood risks in a large river delta' published in HESS 2024.</p> <p>The dataset is organised through two folders:</p> <ul> <li>mangroves: all data from the scenarios with mangroves included in the domain</li> <li>no_mangroves: all data from the scenarios without mangroves included in the domain</li> </ul> <p>Each folder is further divided along 6 subfolders:</p> <ul> <li>I: El Niño Ocean & river</li> <li>II: El Niño Ocean</li> <li>III: El Niño river</li> <li>IV: Neutral</li> <li>I_50per: 50 % increase in seaward El Niño anomalies</li> <li>I_150per: 150 % increase in seaward El Niño anomalies</li> </ul> <p>Each folder contains two files:</p> <ul> <li>vars.csv - each row represents a mesh node and there are three columns: <ul> <li>X: x value of the model mesh node [m]</li> <li>Y: y value of the model mesh node [m]</li> <li>HIGH_WATER: high water level [m]</li> </ul> </li> </ul>
DE BAY IRENE COMPOUND FLOODING USING DHSVM-FVCOM
<p>Data sets used in DHSVM and FVCOM model development and validation, and result analysis.</p>
Compound flood risk analysis in CONUS
<p>This repository includes the developed E3SM source code for running MOSART simulation with a downstream boundary and a suite of codes for performing the statistical analysis of compound flood risk assessments. For the access to the full MOSART simulation output, please contact the author. </p>
Data from: Wind and rain compound with tides to cause frequent and unexpected coastal floods
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Compound coastal flooding in San Francisco Bay under climate change
<p>These files provide the data that are used for the compound coastal flooding analysis in San Francisco Bay under climate change.</p> <p>If you have used this dataset, please cite our papers:<br>"Wang, Z., Leung, M., Mukhopadhyay, S. <em>et al.</em> Compound coastal flooding in San Francisco Bay under climate change. <em>npj Nat. Hazards</em> <strong>2</strong>, 3 (2025). https://doi.org/10.1038/s44304-024-00057-0<em>"</em> . </p> <p>"Wang, Zhenqiang, et al. "A hybrid statistical–dynamical framework for compound coastal flooding analysis." <em>Environmental Research Letters</em> 20.1 (2024): 014005."</p>
Compound coastal, fluvial, and pluvial flooding during historical hurricane events in the Sabine-Neches Estuary, Texas
<p>This dataset contains boundary forcing (offshore water level and river discharge), topobathy, and Manning's n roughness data used to simulate compound flooding due to historical hurricanes (Harvey, Ike, and Rita) in the Sabine-Neches Estuary in Texas. It also includes water level outputs used for the analysis presented in the manuscript entitled: <em>Compound coastal, fluvial, and pluvial flooding during historical hurricane events in the Sabine-Neches Estuary, Texas </em>(<a href="https://doi.org/10.1029/2022WR033144">https://doi.org/10.1029/2022WR033144</a>).</p>
Preliminary Compound Flooding Waikiki
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