Coastal Flooding Hazard Due to Overflow Using a Level II Method: Application to the Venetian Littoral

Favaretto, Chiara; Martinelli, Luca; Ruol, Piero

doi:10.3390/w11010134

Cited by 11 publications

(8 citation statements)

References 42 publications

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“…Favaretto et al [23] presented a novel 2D model for the inland flood propagation and an approach for the assessment of coastal flooding vulnerability. Hazard maps of two stretches of the Venetian littoral (Northern Adriatic Sea, Italy) were produced, showing the probability of failure in each point of the coast for a given inland inundation level.…”

Section: Coastal Vulnerabilitymentioning

confidence: 99%

Coastal Vulnerability and Mitigation Strategies: From Monitoring to Applied Research

Contestabile

Vicinanza

2020

Water

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This paper intends to offer the readers an overview of the Special Issue on Coastal Vulnerability and Mitigation Strategies: From Monitoring to Applied Research. The main focus of this Special Issue is to provide the state-of-the-art and the recent research updates on the sustainable management strategies for protecting vulnerable coastal areas. Based on 28 contributions from authors from 17 different countries (Australia, China, Ecuador, Germany, Greece, India, Italy, Mexico, The Netherlands, New Zealand, Poland, Spain, Sri Lanka, Taiwan, United Arab Emirates, UK, USA), an ensemble of interdisciplinary articles has been collected, emphasizing the importance of tackling technical and scientific problems at different scales and from different point of views.

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Section: Coastal Vulnerabilitymentioning

confidence: 99%

Coastal Vulnerability and Mitigation Strategies: From Monitoring to Applied Research

Contestabile

Vicinanza

2020

Water

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“…Extremely high sea levels have increased in frequency and magnitude in many coastal sites around the world due to climate change (Favaretto et al 2019;Fritz et al 2008;Vousdoukas et al 2017). This will increase annual damage due to coastal flooding, thus large protection measures need to be undertaken in coastal areas to protect them from increasing sea level rise risks.…”

Section: Introductionmentioning

confidence: 99%

Monitoring and Modeling Tidally Induced Pore-Pressure Oscillations in the Soil of St. Mark’s Square in Venice, Italy

Ceccato

Simonini

Zarattini

2021

J. Geotech. Geoenviron. Eng.

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Sea level rise and high tide events are threatening many coastal cities, which require adequate and sustainable protection measures. The historic city centre of Venice (Italy) is often flooded during very high tide events, especially the area of St. Mark's island, which is at the lowest elevation among all the islands forming the city. In order to design cost effective protection interventions to safeguard the historical heritage, a deep understanding of flooding mechanisms and the relationship between groundwater pressure and tidal oscillations are necessary. Geotechnical survey and analyses play an important role in this process. This paper presents the results of a recent monitoring campaign carried out in St. Mark's island. A simplified one-dimensional analytical model has been derived for saturated conditions to understand the key parameters that govern tidal induced pressure oscillations in soil (material properties, geometrical features and wave properties). Additional features, such as partially saturated soil conditions and twodimensional effects, have been investigated numerically. Results show that significant pressure oscillations occur in the subsoil, which should not be neglected for the stability of horizontal architectural structures, such as the historical mosaics and paving. However, seepage flow rate is small, thus its impact on the drainage system is limited in terms of water discharge.

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“…Higher dimensional hydrodynamic models can accurately capture coastal processes at a fine temporal and spatial resolution using the governing laws of hydraulics and fluid motion (Bates et al 2010; Favaretto et al 2019). Given the importance of storm‐related activities in inundation prediction (Spaulding et al 2017), a fine resolution hydrodynamic model is being used as the basis to update Federal Emergency Management Agency (FEMA) flood insurance rate maps for the entire Great Lakes shoreline (FEMA 2014).…”

Section: Introductionmentioning

confidence: 99%

A Probabilistic, Parcel‐Level Inundation Prediction Tool for Medium‐Range Flood Forecasting in Large Lake Systems

Semmendinger

Foley

2020

J American Water Resour Assoc

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This study contributes a bathtub‐style inundation prediction model with abstractions of coastal processes (i.e., storm surge and wave runup) for flood forecasting at medium‐range (weekly to monthly) timescales along the coastline of large lakes. Uncertainty from multiple data sources are propagated through the model to establish probabilistic bounds of inundation, providing a conservative measure of risk. The model is developed in a case study of the New York Lake Ontario shoreline, which has experienced two record‐setting floods over the course of three years (2017–2019). Predictions are developed at a parcel‐level and are validated using inundation accounts from an online survey and flyover imagery taken during the recent flood events. Model predictions are compared against a baseline, deterministic model that accounts for the same processes but does not propagate forward data uncertainties. Results suggest that a probabilistic approach helps capture observed instances of inundation that would otherwise be missed by a deterministic inundation model. However, downward biases are still present in probabilistic predictions, especially for parcels impacted by wave runup. The goal of the tool is to provide community planners and property owners with a conservative, parcel‐level assessment of flood risk to help inform short‐term emergency response and better prepare for future flood events.

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Coastal Flooding Hazard Due to Overflow Using a Level II Method: Application to the Venetian Littoral

Cited by 11 publications

References 42 publications

Coastal Vulnerability and Mitigation Strategies: From Monitoring to Applied Research

Coastal Vulnerability and Mitigation Strategies: From Monitoring to Applied Research

Monitoring and Modeling Tidally Induced Pore-Pressure Oscillations in the Soil of St. Mark’s Square in Venice, Italy

A Probabilistic, Parcel‐Level Inundation Prediction Tool for Medium‐Range Flood Forecasting in Large Lake Systems

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