Wind wave climate change: Impacts on the littoral processes at the Northern Buenos Aires Province Coast, Argentina

2013 ◽  
Vol 121 (4) ◽  
pp. 649-660 ◽  
Author(s):  
Walter C. Dragani ◽  
Paula B. Martin ◽  
Guadalupe Alonso ◽  
Jorge O. Codignotto ◽  
Bárbara E. Prario ◽  
...  
1998 ◽  
Vol 8 (4) ◽  
pp. 285-289 ◽  
Author(s):  
Martin Parry ◽  
Nigel Arnell ◽  
Mike Hulme ◽  
Robert Nicholls ◽  
Matthew Livermore

Author(s):  
Junjie Deng ◽  
Jan Harff ◽  
Semjon Schimanke ◽  
H. E. Markus Meier

AbstractThe method introduced in this study for future projection of coastline changes hits the vital need of communicating the potential climate change impact on the coast in the 21th century. A quantitative method called the Dynamic Equilibrium Shore Model (DESM) has been developed to hindcast historical sediment mass budgets and to reconstruct a paleo Digital Elevation Model (DEM). The forward mode of the DESM model relies on paleo-scenarios reconstructed by the DESM model assuming stationary wind-wave climate. A linear relationship between the sea level, coastline changes and sediment budget is formulated and proven by the least square regression method. In addition to its forward prediction of coastline changes, this linear relationship can also estimate the sediment budget by using the information on the coastline and relative sea level changes. Wind climate change is examined based on regional climate model data. Our projections for the end of the 21st century suggest that the wind and wave climates in the southern Baltic Sea may not change compared to present conditions and that the investigated coastline along the Pomeranian Bay may retreat from 10 to 100 m depending on the location and on the sea level rise which was assumed to be in the range of 0.12 to 0.24 m.


2021 ◽  
Vol 9 (9) ◽  
pp. 1009
Author(s):  
Pushpa Dissanayake ◽  
Marissa L. Yates ◽  
Serge Suanez ◽  
France Floc’h ◽  
Knut Krämer

Wave dynamics contribute significantly to coastal hazards and were thus investigated at Vougot Beach by simulating both historical and projected future waves considering climate change impacts. The historical period included a major storm event. This period was projected to the future using three globally averaged sea level rise (SLR) scenarios for 2100, and combined SLR and wave climate scenarios for A1B, A2, and B1 emissions paths of the IPCC. The B1 wave climate predicts an increase in the occurrence of storm events. The simulated waves in all scenarios showed larger relative changes at the beach than in the nearshore area. The maximum increase of wave energy for the combined SLR and wave scenarios was 95%, while only 50% for the SLR-only scenarios. The effective bed shear stress from waves and currents showed different spatial variability than that of the wave height, emphasizing the importance of interactions between nearshore waves and currents. Increases in the effective bed shear stress (combined scenarios: up to 190%, and SLR-only scenarios: 35%) indicate that the changes in waves and currents will likely have significant impacts on the nearshore sediment transport. This work emphasizes that combined SLR and future wave climate scenarios need to be used to evaluate future changes in local hydrodynamics and their impacts. These results provide preliminary insights into potential future wave dynamics at Vougot Beach under different climate change scenarios. Further studies are necessary to generalize the results by investigating the wave dynamics during storm events with different hydrodynamical conditions and to evaluate potential changes in sediment transport and morphological evolution due to climate change.


Author(s):  
Cihan Sahin ◽  
Mehmet Ozturk ◽  
Ahmet Altunsu ◽  
H. Anil Ari Guner ◽  
Yalcin Yuksel ◽  
...  

The main drivers of coastal morphology evolution related to climate change are wave characteristics, storm frequency/intensity and watershed runoff. Estuaries and deltaic plains, strongly affected by the sea-level change, are highly vulnerable to future climate change impacts. Karasu Beach, located in the southwestern Black Sea, Turkey, is impacted by the Sakarya River plume. River discharge and energetic wind and wave climate are among the major physical processes that control the sediment transport pattern along the shoreline. Due to the decrease of sediment runoff to the coast related to the construction reservoirs and a harbor, significant erosion occurred, with a 7.5 m/year retreat of the coastal line. The erosion problem threatens the coastal area as well as the deep spot.Recorded Presentation from the vICCE (YouTube Link): https://youtu.be/DfYQlbOXEh8


2012 ◽  
Vol 38 ◽  
pp. 110-116 ◽  
Author(s):  
Jorge O. Codignotto ◽  
Walter C. Dragani ◽  
Paula B. Martin ◽  
Claudia G. Simionato ◽  
Rubén A. Medina ◽  
...  

Author(s):  
Amin Reza Zarifsanayei ◽  
Amir Etemad-Shahidi ◽  
Nick Cartwright ◽  
Darrell Strauss

Due to climate change impacts on atmospheric circulation, global and regional wave climate in many coastal regions around the world might change. Any changes in wave parameters could result in significant changes in wave energy flux, the patterns of coastal sediment transport, and coastal evolution. Although some studies have tried to address the potential impacts of climate change on longshore sediment transport (LST) patterns, they did not sufficiently consider the uncertainties arising from different sources in the projections. In this study, the uncertainty associated with the choice of model used for the estimation of LST is examined. The models were applied to a short stretch of coastline located in Northern Gold Coast, Australia, where a huge volume of sediment is transported along the coast annually. The ensemble of results shows that the future mean annual and monthly LST rate might decrease by about 11 percent, compared to the baseline period. The results also show that uncertainty associated with LST estimation is significant. Hence, it is proposed that this uncertainty, in addition to that from other sources, should be considered to quantify the contribution of each source in total uncertainty. In this way, a probabilistic-based framework can be developed to provide more meaningful output applicable to long-term coastal planningRecorded Presentation from the vICCE (YouTube Link): https://youtu.be/3CGU9RcGYjE


2016 ◽  
Vol 4 (4) ◽  
pp. 78 ◽  
Author(s):  
William Bennett ◽  
Harshinie Karunarathna ◽  
Nobuhito Mori ◽  
Dominic Reeve

2011 ◽  
Vol 1 (32) ◽  
pp. 28
Author(s):  
Anna Zacharioudaki ◽  
Dominic E Reeve

In this paper we examine the evidence for detectable climate change impacts on shoreline evolution. In a sequentially linked set of models, climate change scenarios are taken from atmospheric climate models and used to generate time slices of deepwater wave climate, nearshore wave climate and shoreline evolution. The models used are simple, containing the key physical processes only. Results are based on a hypothetical case which has some similarities to a site on the south coast of the UK. Output from the model is analysed using a robust statistical methodology to determine the evidence for statistically significant differences between beach behaviour under current conditions and several future scenarios. Statistically significant differences vary with season and also with the combination of climate model outputs used for input. Summers are the only season for which all models showed significant changes, corresponding to an increase in the net eastward littoral transport.


Sign in / Sign up

Export Citation Format

Share Document