scholarly journals VULNERABILITY TO COASTAL FLOODING INDUCED BY TROPICAL CYCLONES

2011 ◽  
Vol 1 (32) ◽  
pp. 19 ◽  
Author(s):  
Gregorio Posada-Vanegas ◽  
Gerardo Durán-Valdez ◽  
Rodolfo Silva-Casarin ◽  
Maria Elena Maya-Magaña ◽  
Jose Antonio Salinas-Prieto
Keyword(s):  
Tropical Cyclones ◽  
Storm Surge ◽  
Natural Hazard ◽  
Numerical Models ◽  
Coastal Flooding ◽  
Return Periods ◽  
Hazard Maps ◽  
Flooding Hazard ◽  
Reduce Risk ◽  
2D Numerical Model

Hurricanes are a recurrent feature on Mexican coasts; they create floods whose economic and social damages are evident. The necessity to evaluate the natural hazard related to storm surge is fundamental to reduce risk in coastal areas. In order to generate flooding hazard maps, storm surge associated to different return periods is computed with a 2D numerical model. The first part of this work is related with the data and numerical models used to calculate the storm surge, the second part contain the results obtained with the simulations. This work has been done for the entire Mexican coastline but only results for the Gulf of Mexico are presented

A methodology to estimate wave-induced coastal flooding hazard maps in Spain

2015 ◽  
Vol 9 (3) ◽  
pp. 289-305 ◽  
Author(s):  
A. Tomás ◽  
F.J. Méndez ◽  
R. Medina ◽  
F.F. Jaime ◽  
P. Higuera ◽  
...  
Keyword(s):  
Coastal Flooding ◽  
Hazard Maps ◽  
Flooding Hazard ◽  
Wave Induced

scholarly journals SUBGRID NUMERICAL MODELING OF TSUNAMI AND STORM SURGE INUNDATION IN A COASTAL URBAN SETTING

2020 ◽  
pp. 11
Author(s):  
Zhongduo Zhang ◽  
Nobuki Fukui ◽  
Yu Chida ◽  
Andrew Kennedy ◽  
Nobuhito Mori ◽  
...  
Keyword(s):  
Numerical Modeling ◽  
Storm Surge ◽  
Numerical Models ◽  
Shallow Water Equation ◽  
Physical Experiment ◽  
Urban Setting ◽  
Hazard Maps ◽  
Coastal City ◽  
The City ◽  
Shielding Effects

An experiment using a physical model of a coastal city was conducted to simulate tsunami and storm surge conditions which may lead to city inundation. The results of the physical experiment were compared with those from a subgrid numerical model based on the shallow water equation using the topography of the physical experiment obtained from LIDAR scanning. The experiment aims to provide a better understanding on the variation of tsunami or storm surge inundation level at different locations of the city due to the ground elevation, building arrangement, and shielding effects. The result from this experiment will serve to increase the accuracy of coastal numerical models and revise the current hazard maps and evacuation plans.Recorded Presentation from the vICCE (YouTube Link): https://youtu.be/k4v5EotRpfg

scholarly journals Perceptions and Consequences of Socioenvironmental Vulnerability Due to Tropical Cyclones in Los Cabos, Mexico

2021 ◽  
Vol 13 (12) ◽  
pp. 6787
Author(s):  
Elvia Aida Marín-Monroy ◽  
Victor Hernández-Trejo ◽  
Miguel Angel Ojeda-Ruiz de la Peña ◽  
Eleonora Romero-Vadillo ◽  
Antonina Ivanova-Boncheva
Keyword(s):  
Tropical Cyclones ◽  
Probability Model ◽  
Social Indicators ◽  
Tourist Attraction ◽  
Community Perceptions ◽  
Baja California Sur ◽  
Hazard Maps ◽  
Cyclone Activity ◽  
Flooding Hazard ◽  
Perception Analysis

Climate change has resulted in severe consequences of hydrometeorological phenomena. The municipality of Los Cabos, Mexico, has been the most affected in the state of Baja California Sur by these hazards due to its location on the southern tip of the peninsula, being exposed with approximately 192 km of coastline; it is an environmental heritage that has made the area a primary tourist attraction in Mexico, which has caused a rapid growth in population with little knowledge about cyclone activity. In addition, there is limited knowledge regarding social indicators that measure vulnerability due to tropical cyclones. Based on the above, the objective of this study was to capture community perceptions about vulnerability related to tropical cyclones and to compare the results with real impacts and their index of socioenvironmental vulnerability, which includes indicators of exposure, sensitivity, and adaptive capacity, to provide useful information to form strategies to mitigate risk. Data were collected through a questionnaire-survey in 335 randomly selected households; we applied a probability model to the perception analysis and calculated an index to categorize vulnerability. We found differences between perceptions and real affectations, with 64% of households categorized as being highly vulnerable to tropical cyclones, and we detected a lower perception about damage suffered to their households. The variables related to knowledge and local or foreigner status were predictors of vulnerability perception. We included georeferenced data on flooding hazard maps as a strategy for adaptation.

scholarly journals Accounting for tropical cyclones more than doubles the global population exposed to low-probability coastal flooding

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Job C. M. Dullaart ◽  
Sanne Muis ◽  
Nadia Bloemendaal ◽  
Maria V. Chertova ◽  
Anaïs Couasnon ◽  
...  
Keyword(s):  
Tropical Cyclones ◽  
Storm Surges ◽  
Coastal Flooding ◽  
Ecological Impacts ◽  
Extratropical Cyclones ◽  
Return Periods ◽  
Climate Conditions ◽  
Modelling Techniques ◽  
Low Probability ◽  
Global Population

AbstractStorm surges that occur along low-lying, densely populated coastlines can leave devastating societal, economical, and ecological impacts. To protect coastal communities from flooding, return periods of storm tides, defined as the combination of the surge and tide, must be accurately evaluated. Here we present storm tide return periods using a novel integration of two modelling techniques. For surges induced by extratropical cyclones, we use a 38-year time series based on the ERA5 climate reanalysis. For surges induced by tropical cyclones, we use synthetic tropical cyclones from the STORM dataset representing 10,000 years under current climate conditions. Tropical and extratropical cyclone surge levels are probabilistically combined with tidal levels, and return periods are computed empirically. We estimate that 78 million people are exposed to a 1 in 1000-year flood caused by extratropical cyclones, which more than doubles to 192 M people when taking tropical cyclones into account. Our results show that previous studies have underestimated the global exposure to low-probability coastal flooding by 31%.

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

Water ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 134 ◽  
Author(s):  
Chiara Favaretto ◽  
Luca Martinelli ◽  
Piero Ruol
Keyword(s):  
Regional Scale ◽  
Coastal Flooding ◽  
Processing Unit ◽  
Hazard Maps ◽  
Northern Adriatic Sea ◽  
Northern Adriatic ◽  
Flooding Hazard ◽  
Level Ii ◽  
Reliability Method ◽  
Inland Flooding

In recent years, marine flooding and its impacts have become a question of growing interest, since coastal areas are the most heavily populated and developed land zones in the world. This paper presents a rapid tool for mapping at regional scale the hazard associated with coastal flooding due to overflow. The tool merges a recently developed numerical model that solves a simplified form of the Shallow-Water Equations and is suited for Graphic Processing Unit (GPU) acceleration, with a Level II reliability method that allows producing hazard maps of inland flooding propagation. The procedure was applied to two stretches of the Venetian littoral, i.e., Valle Vecchia and Caorle, located in the northern Adriatic Sea. The application includes the site descriptions and the resulting hazard maps that show the probability of failure in each point of the coast for a given inland inundation level.

scholarly journals THE DYNAMICS OF STORM SURGE AND MEAN SEA LEVEL VARIABILITY IN THE NORTHEASTERN CASPIAN SEA

2018 ◽  
pp. 60
Author(s):  
Xiufeng Yang ◽  
Dale Kerper ◽  
Shubhra Misra ◽  
James Stear ◽  
Tao Shen ◽  
...  
Keyword(s):  
Sea Level ◽  
Storm Surge ◽  
Caspian Sea ◽  
Natural Hazard ◽  
Coastal Flooding ◽  
Ice Formation ◽  
The Caspian Sea ◽  
Mean Sea Level ◽  
Water Depths

Storm surge is a major natural hazard to the construction and operation of infrastructure projects in shallow and gently sloping coastal areas such as the northeastern part of the Caspian Sea. Up-surge events cause significant coastal flooding, while down-surge events disrupt marine transportation by constraining safe navigable water depths. Coastal developments therefore have to achieve a judicious balance of these conflicting constraints. Further, the unpredictability of long-term and intra-annual Mean Sea Level (MSL) variability as well as periodic freeze-up and break-up due to ice formation in this part of the Caspian Sea complicate a robust and unequivocal basis for defining storm surge hazards.

scholarly journals WAVE EFFECTS ON STORM SURGE IN A SMALL TWO-INLET BAY

2020 ◽  
pp. 30
Author(s):  
Mara M.Orescanin ◽  
Thomas Chris Massey ◽  
Matt Reffitt ◽  
Britt Raubenheimer ◽  
Steve Elgar
Keyword(s):  
Tropical Cyclones ◽  
Storm Surge ◽  
Flow Model ◽  
Coupled Model ◽  
Coastal Flooding ◽  
Wave Flow ◽  
Major Contributor ◽  
Tidal Inlets ◽  
Hurricane Irene ◽  
Wave Effects

Storm surge resulting from oceanic extreme events, commonly tropical cyclones, is a major contributor to coastal flooding and property damage. Thus, there is significant investment in accurate predictions. However, forecasts of storm surge often are focused on regional scales, and are unable to resolve complex nearshore bathymetry and small tidal inlets (Yin et al. 2016) that can be critical to local surge magnitudes and timing. Here, model simulations with a regional wave-flow coupled model (NACCS), a high bathymetric resolution uncoupled flow model (ADCIRC), and a high resolution coupled model (CSTORM) are compared with observations of storm surge during Hurricane Irene (Atlantic Storm 09, 2011) within Katama Bay, Martha's Vineyard, Massachusetts.Recorded Presentation from the vICCE (YouTube Link): https://youtu.be/hKdA2zYWI2Y

scholarly journals Modeling dependence and coincidence of storm surges and high tide: methodology, discussion and recommendations based on a simplified case study in Le Havre (France)

2020 ◽  
Vol 20 (12) ◽  
pp. 3387-3398
Author(s):  
Amine Ben Daoued ◽  
Yasser Hamdi ◽  
Nassima Mouhous-Voyneau ◽  
Philippe Sergent
Keyword(s):  
Storm Surge ◽  
High Tide ◽  
Storm Surges ◽  
Coastal Flooding ◽  
Dependence Structure ◽  
Probability Method ◽  
Sea Levels ◽  
Flooding Hazard ◽  
Extreme Sea Levels

Abstract. Coastal facilities such as nuclear power plants (NPPs) have to be designed to withstand extreme weather conditions and must, in particular, be protected against coastal floods because it is the most important source of coastal lowland inundations. Indeed, considering the combination of tide and extreme storm surges (SSs) is a key issue in the evaluation of the risk associated with coastal flooding hazard. Most existing studies are generally based on the assumption that high tides and extreme SSs are independent. While there are several approaches to analyze and characterize coastal flooding hazard with either extreme SSs or sea levels, only few studies propose and compare several approaches combining the tide density with the SS variable. Thus this study aims to develop a method for modeling dependence and coincidence of SSs and high tide. In this work, we have used existing methods for tide and SS combination and tried to improve the results by proposing a new alternative approach while showing the limitations and advantages of each method. Indeed, in order to estimate extreme sea levels, the classic joint probability method (JPM) is used by making use of a convolution between tide and the skew storm surge (SSS). Another statistical indirect analysis using the maximum instantaneous storm surge (MSS) is proposed in this paper as an alternative to the first method with the SSS variable. A direct frequency analysis using the extreme total sea level is also used as a reference method. The question we are trying to answer in this paper is then the coincidence and dependency essential for a combined tide and SS hazard analysis. The results brought to light a bias in the MSS-based procedure compared to the direct statistics on sea levels, and this bias is more important for high return periods. It was also concluded that an appropriate coincidence probability concept, considering the dependence structure between SSs, is needed for a better assessment of the risk using the MSS. The city of Le Havre in France was used as a case study. Overall, the example has shown that the return level (RL) estimates using the MSS variable are quite different from those obtained with the method using the SSSs, with acceptable uncertainty. Furthermore, the shape parameter is negative from all the methods with a much heavier tail when the SSS and the extreme sea levels (ESLs) are used as variables of interest.

Modeling drive wheels of hoisting machines with rubber cables

2020 ◽  
pp. 105-114
Author(s):  
V. E. Perekutnev ◽  
V. V. Zotov
Keyword(s):  
Stress State ◽  
Safety Factor ◽  
Numerical Models ◽  
Design Parameters ◽  
Potential Range ◽  
Capital Costs ◽  
Reducing Gear ◽  
Reduce Risk ◽  
Steel Cables ◽  
Sidewall Surface

Upgrading of hoisting machines aims to improve their performance, to reduce risk of accidents, and to cut down operational and capital costs. One of the redesign solutions is replacement of steel cables by rubber cables. This novation can extend life of pulling members, decrease diameters of drive and guide wheels and, consequently, elements of the whole hoisting machines: rotor, reducing gear, motor. This engineering novation needs re-designing of hoisting machines; thus, the new design should be validated, in particular, strength characteristics of the machine members. This article considers a drive wheel of a hoisting machine with a pulling belt. In order to justify the potential range of design parameters with regard to safety factor, the numerical models of different-design drive wheels are developed and their operation with pulling belt (rubber cable) is simulated in the SolidWorks environment. The data on the stress state of the wheel elements are analyzed, the most loaded points are identified, and the maximal stresses on the sidewall surface and in the spokes of wheels of different designs are plotted.

Sign in / Sign up

Export Citation Format

Share Document