scholarly journals The 1st International Workshop on Waves, Storm Surges and Coastal Hazards incorporating the 15th International Workshop on Wave Hindcasting and Forecasting

2019 ◽  
Vol 69 (4) ◽  
pp. 513-517
Author(s):  
Val Swail ◽  
Jose-Henrique Alves ◽  
Øyvind Breivik ◽  
Jennifer Brown ◽  
Diana Greenslade
2015 ◽  
Vol 65 (5) ◽  
pp. 761-771 ◽  
Author(s):  
Øyvind Breivik ◽  
Val Swail ◽  
Alexander V. Babanin ◽  
Kevin Horsburgh

2017 ◽  
Vol 67 (3-4) ◽  
pp. 551-556 ◽  
Author(s):  
Øyvind Breivik ◽  
Jose Henrique Alves ◽  
Diana Greenslade ◽  
Kevin Horsburgh ◽  
Val Swail

Author(s):  
Yasser Hamdi ◽  
Emmanuel Garnier ◽  
Nathalie Giloy ◽  
Claire-Marie Duluc ◽  
Vincent Rebour

Abstract. This paper aims to demonstrate the technical feasibility of a historical study devoted to French Nuclear Power Plants (NPPs) which can be prone to the extreme marine flooding events. It has been shown in the literature that the use of HI can significantly improve the probabilistic and statistical modeling of extreme events. There is a significant lack of historical data about marine flooding (storms and storm surges) compared to river flooding events. To address this data scarcity and to improve the estimation of the risk associated to the marine flooding hazards, a dataset of historical storms and storm surges that hit the Nord-Pas-de-Calais region during the five past centuries were recovered from archival sources, examined and used in a frequency analysis (FA) in order to assess its impact on the frequency estimations. This work on the Dunkirk site (representative of the Gravelines NPP) is a continuation of previous work performed on the La Rochelle site in France. Indeed, the frequency model (FM) used in the present paper had some success in the field of coastal hazards and it has been applied in previous studies to surge datasets to prevent marine flooding in the La Rochelle region in France. In a first step, only information collected from the literature (published reports, journal papers and PhD theses) is considered. A 1954 Coastal Engineering journal issue (Le Gorgeu and Guitonneau, 1954) on the reconstruction of the eastern dyke in Dunkirk has been more than a reference for this paper. It has indeed served as a main source of historical information (HI) in this study. Although this first historical dataset has extended the gauged record back in time to 1897, serious questions related to the exhaustiveness of the information and about the validity of the developed FM have remained unanswered. Additional qualitative and quantitative HI were extracted in a second step from many older archival sources. This work has led to the construction of storms and marine flooding sheets summarizing key data on each identified event. The quality control and the cross-validation of the collected information, which have been carried out systematically, indicate that it is valid and complete as regards extreme storms and storm surges. Most of the HI gathered displays a good agreement with other archival sources and documentary climate reconstructions. The probabilistic and statistical analysis of a dataset containing an exceptional observation considered as an outlier (i.e. the 1953 storm surge) has been significantly improved when the additional HI gathered in both literature and archives are used. As the historical data tend to be extreme, the right tail of the distribution has been reinforced and the 1953 exceptional event don't appear as an outlier any more. This new dataset provides a valuable source of information on storm surges for future characterization of coastal hazards.


Geosciences ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. 131 ◽  
Author(s):  
Zai-Jin You

The mainland coast of China is about 18,000 km long and houses about 70% of China’s largest cities and 50% of its population. For the last few decades, the rapid growth of the Chinese economy has resulted in extensive development of the coastal infrastructure and property, large-scale expansion of coastal ports, excessive reclamation of coastal land, and a significant increase in the coastal population. Previous studies have indicated that tropical cyclones (TCs) have struck the coast of China at a higher frequency and intensity, and TC-induced coastal hazards have resulted in heavy human losses and huge losses to the Chinese coastal economy. In analyzing the long-term and most recent coastal hazard data collected on the coast of China, this study has found that TC-induced storm surges are responsible for 88% of the direct coastal economic losses, while TC-induced large coastal waves have caused heavy loss of human lives, and that the hazard-caused losses are shown to increase spatially from the north to south, peak in the southern coastal sector, and well correlate to storm wave energy flux. The frequency and intensity of coastal hazards on the coast of China are expected to increase in response to future changing TC conditions and rising sea levels. A simple two-parameter conceptual model is also presented for the assessment of coastal inundation and erosion hazards on the coast of China.


Author(s):  
M. Seidel ◽  
P. Marzahn ◽  
R. Ludwig

40 percent of the world's population are presently living in coastal areas or along the main rivers. Taking into account that the vulnerability of these areas is increasing due to sea-level rise and coastal hazards such as storm surges or extreme rainfall events accompanied with floods, the importance of safety structures such as dykes is increasing as well. Hence, a spatial distributed dyke monitoring should be part of a sustainable adaptation strategy. <br><br> Due to increasing amount of SAR-data from various satellites with high spatial and temporal coverage, the means of SAR-interferometry could be an essential tool to ensure this kind of required monitoring. Given this prospect, Persistent Scattering Interferometry (PSI) will be a very suitable monitoring technique for dyke structures to identify dyke movement with the accuracy of few millimetres. This procedure focuses on pixels that show a stable scattering behaviour in a sequence of multiple SAR-scenes. In opposition to ground-measurements, the spatial coverage of this technique provides comparable results for different parts of the dyke; furthermore weak segments with particular high movements could be identified in advance. This could prevent future dyke crevasses and help to reduce risks in high-populated areas. <br><br> This paper attempts to describe the potential of the PSI technique for a spatial distributed dyke monitoring at the coast in northern Germany. 21 ERS-2 scenes and 16 Envisat ASAR scenes were analysed. Those Scenes cover an area of a sea shore dyke including a flood regulation barrage and results point out the potential for this technique to monitor dyke structures. Even though the observed dyke doesn't show any significant deformation rates, the two datasets show the same signal for the whole dyke.


2020 ◽  
Vol 9 (6) ◽  
pp. 220-229
Author(s):  
Rakesh Bera

Community perception becomes a central issue for hazard mitigation of an area. Present study made an attempt to assess public opinion regarding various problems associated with life and livelihood of Sundarbans. A survey was conducted over 254 households located along 22 mangrove fringe villages of Kultali, Gosaba and Hingalganj. Waterlogging, erosion, salinity, storm surges and embankment breaching are the major challenges identified during the survey. Details account of causes, consequences and their spatial extension have been presented and future coping strategies are also recommended. Elevating houses (92%), green buffering (80%) and construction of pucca house (9.8%) are the desired coping strategies for different hazards. Regarding future strategies, 48% like to stay if Govt. initiated for hazard mitigation and 37% like to live with the disaster.


2019 ◽  
Vol 181 ◽  
pp. 104904 ◽  
Author(s):  
Riwan Kerguillec ◽  
Morgane Audère ◽  
Agnès Baltzer ◽  
Françoise Debaine ◽  
Paul Fattal ◽  
...  

2018 ◽  
Vol 18 (12) ◽  
pp. 3383-3402 ◽  
Author(s):  
Yasser Hamdi ◽  
Emmanuel Garnier ◽  
Nathalie Giloy ◽  
Claire-Marie Duluc ◽  
Vincent Rebour

Abstract. This paper aims to demonstrate the technical feasibility of a historical study devoted to French nuclear power plants (NPPs) which can be prone to extreme coastal flooding events. It has been shown in the literature that the use of historical information (HI) can significantly improve the probabilistic and statistical modeling of extreme events. There is a significant lack of historical data on coastal flooding (storms and storm surges) compared to river flooding events. To address this data scarcity and to improve the estimation of the risk associated with coastal flooding hazards, a dataset of historical storms and storm surges that hit the Nord-Pas-de-Calais region during the past five centuries was created from archival sources, examined and used in a frequency analysis (FA) in order to assess its impact on frequency estimations. This work on the Dunkirk site (representative of the Gravelines NPP) is a continuation of previous work performed on the La Rochelle site in France. Indeed, the frequency model (FM) used in the present paper had some success in the field of coastal hazards and it has been applied in previous studies to surge datasets to prevent coastal flooding in the La Rochelle region in France. In a first step, only information collected from the literature (published reports, journal papers and PhD theses) is considered. Although this first historical dataset has extended the gauged record back in time to 1897, serious questions related to the exhaustiveness of the information and about the validity of the developed FM have remained unanswered. Additional qualitative and quantitative HI was extracted in a second step from many older archival sources. This work has led to the construction of storm and coastal flooding sheets summarizing key data on each identified event. The quality control and the cross-validation of the collected information, which have been carried out systematically, indicate that it is valid and complete in regard to extreme storms and storm surges. Most of the HI collected is in good agreement with other archival sources and documentary climate reconstructions. The probabilistic and statistical analysis of a dataset containing an exceptional observation considered as an outlier (i.e., the 1953 storm surge) is significantly improved when the additional HI collected in both literature and archives is used. As the historical data tend to be extreme, the right tail of the distribution has been reinforced and the 1953 “exceptional” event does not appear as an outlier any more. This new dataset provides a valuable source of information on storm surges for future characterization of coastal hazards.


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