scholarly journals Accelerated sea level rise and coastal vulnerability in the Hersonisos coastal region (Crete, Greece)

2004 ◽  
Vol 5 (1) ◽  
pp. 35 ◽  
Author(s):  
E. DOUKAKIS
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
Greenhouse Effect ◽  
Climate Changes ◽  
Coastal Region ◽  
Coastal Areas ◽  
Coastal Vulnerability ◽  
Bruun Rule ◽  
Severe Erosion ◽  
Coastal Retreat

The IPCC predictions for climate changes in the 21st century assess sea level rise from 5 to 10mm/year due to the Greenhouse effect. We have already entered a period of accelerated temperature and sea level rise and one of the most important impacts of these changes is the severe erosion of the coastal areas. According to Bruun rule, a sea level rise of 1cm induces a coastal retreat of (approximately) 1m in low-lying coastal areas. Taking into consideration the inundation concept, the historical retreat and the Bruun erosion model, the assessment of the coastal setback comes nearer to the response of nature due to climate changes. In the coastal region of the Hersonissos in Crete, Greece and for 21km of its shoreline, the impacts of the above models are considered in order to assess the vulnerability due to the Greenhouse effect. The results are impressive and estimate a coastal retreat of more than 280m up to the end of the century, posing a threat to the coastal infrastructure. In view of the results, decisions and measures should be considered without delay.

scholarly journals COASTAL VULNERABILITY ASSESSMENT TO SEA LEVEL RISE INTEGRATED WITH ANALYTICAL HIERARCHY PROCESS

2011 ◽  
Vol 1 (32) ◽  
pp. 6 ◽  
Author(s):  
Gulizar Ozyurt ◽  
Aysen Ergin ◽  
Cuneyt Baykal
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
Analytical Hierarchy Process ◽  
Vulnerability Assessment ◽  
Coastal Areas ◽  
Assessment Model ◽  
Coastal Vulnerability ◽  
Coastal System ◽  
Coastal Vulnerability Assessment ◽  
Hierarchy Process

This paper discusses a parameter based coastal vulnerability assessment model to sea level rise. The model integrates physical characteristics and human activities with expert perception through an application of analytical hierarchy process (AHP). The results of AHP enables to assign weights to parameters of the model which determine vulnerability of a coastal area to the impacts of sea level rise such as coastal erosion, inundation, flooding due to storm surges, saltwater intrusion to groundwater and rivers. The results of AHP also indicates that sea level rise is not considered as one of the main driving forces of the impacts that might be already present contrary to the reports that state that sea level rise will trigger many problems along coastal areas. The application of the coastal vulnerability assessment model to two different coastal areas of Turkey showed that there is a need for overall evaluation of coastal areas in terms of vulnerability to sea level rise considering all the impacts. It is seen that assessing overall vulnerability is an important tool for national assessments. On the other hand, impact vulnerabilities are important when regional to local planning are considered since a region having a low overall vulnerability might show higher vulnerability for individual impacts. The proposed vulnerability methodology integrated with expert perception enables a simple yet effective representation of the coastal system while enabling decision makers to come up with proactive adaptation measures.

Shoreline Changes in Tuban District in East Java Caused by Sea Level Rise Using Bruun Rule and Hennecke Methods

2017 ◽  
Vol 862 ◽  
pp. 34-40 ◽  
Author(s):  
Marita Ika Joesidawati ◽  
Suntoyo
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
Least Square Method ◽  
Sandy Beaches ◽  
Coastal Areas ◽  
Least Square ◽  
Shoreline Retreat ◽  
Shoreline Changes ◽  
Bruun Rule ◽  
Starting Point

Changes in the shoreline setback is a major threat of coastal areas dominated by sandy beaches and coastal lowlands. The impacts of sea level rise itself will be greatly felt by coastal regions in the island nations, such as Indonesia. Tuban is one of northern coastal areas in East Java, which includes the areas where the condition of beaches damaged. Thus, it is necessary to investigate the characteristics of beaches in Tuban, and how much the sea level rise occurs in Tuban district as well as the extent of its influence on the shorelines of Tuban. The calculation of sea level rise was predicted using the Least Square Method with tidal data of Semarang city in 1985-2014 which was later adopted as the tidal of Tuban, and the sea level rise at the beaches in Tuban, which was estimated at 0,024 meter annually by implementing the equation of y = 0.002x + 0.751. In the year of 2050 and 2100, the rise of the sea level reaches 2.55 m and 3.54 m respectively. The most appropriate method used is the Hennecke method, with the error value of 0.27%. The error value of Hennecke method is smaller than the error value of Bruun Rule method, which reaches 0.38%. Using Hennecke method, the prediction of the shoreline changes in Tuban with the starting point of the year of 2008 shows that the average shoreline retreat in the year of 2050 is about 94.71 meters and in 2100 is about 234.2 m. However, by using the method of Bruun Rule, the average shoreline retreat in the year of 2050 is about 161.27 m, and in the year of 2100 is about 349.16 m. The adaptation strategies that can be conducted to minimize the impacts are (i) protective pattern, (ii) accommodative pattern, and it is better to have a Strategic Area Construction Plan.

scholarly journals Development of Tools for Coastal Management in Google Earth Engine: Uncertainty Bathtub Model and Bruun Rule

2021 ◽  
Vol 13 (8) ◽  
pp. 1424
Author(s):  
Lucas Terres de Lima ◽  
Sandra Fernández-Fernández ◽  
João Francisco Gonçalves ◽  
Luiz Magalhães Filho ◽  
Cristina Bernardes
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
Coastal Management ◽  
Google Earth ◽  
Environmental Data ◽  
Planetary Scale ◽  
Bruun Rule ◽  
Source Models ◽  
Google Earth Engine ◽  
Bathtub Model

Sea-level rise is a problem increasingly affecting coastal areas worldwide. The existence of free and open-source models to estimate the sea-level impact can contribute to improve coastal management. This study aims to develop and validate two different models to predict the sea-level rise impact supported by Google Earth Engine (GEE)—a cloud-based platform for planetary-scale environmental data analysis. The first model is a Bathtub Model based on the uncertainty of projections of the sea-level rise impact module of TerrSet—Geospatial Monitoring and Modeling System software. The validation process performed in the Rio Grande do Sul coastal plain (S Brazil) resulted in correlations from 0.75 to 1.00. The second model uses the Bruun rule formula implemented in GEE and can determine the coastline retreat of a profile by creatting a simple vector line from topo-bathymetric data. The model shows a very high correlation (0.97) with a classical Bruun rule study performed in the Aveiro coast (NW Portugal). Therefore, the achieved results disclose that the GEE platform is suitable to perform these analysis. The models developed have been openly shared, enabling the continuous improvement of the code by the scientific community.

The potential impacts of sea level rise on the coastal region of New Jersey, USA

2008 ◽  
Vol 90 (4) ◽  
pp. 475-492 ◽  
Author(s):  
Matthew J. P. Cooper ◽  
Michael D. Beevers ◽  
Michael Oppenheimer
Keyword(s):  
New Jersey ◽  
Sea Level Rise ◽  
Sea Level ◽  
Coastal Region

scholarly journals Development of Tools for Coastal Management in Google Earth 2 Engine: Uncertainty Bathtub Model and Bruun Rule

2021 ◽  
Author(s):  
Lucas Terres de Lima ◽  
Sandra Fernández-Fernández ◽  
João Francisco Gonçalves ◽  
Luiz Magalhães Filho ◽  
Cristina Bernardes
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
Coastal Management ◽  
Google Earth ◽  
Environmental Data ◽  
Bathymetric Data ◽  
Bruun Rule ◽  
Source Models ◽  
Very High ◽  
Bathtub Model

Sea-level rise is a problem increasingly affecting coastal areas worldwide. The existence 15 of Free and Open-Source Models to estimate the sea-level impact can contribute to better coastal 16 management. This study aims to develop and to validate two different models to predict the 17 sea-level rise impact supported by Google Earth Engine (GEE) – a cloud-based platform for plan-18 etary-scale environmental data analysis. The first model is a Bathtub Model based on the uncer-19 tainty of projections of the Sea-level Rise Impact Module of TerrSet - Geospatial Monitoring and 20 Modeling System software. The validation process performed in the Rio Grande do Sul coastal 21 plain (S Brazil) resulted in correlations from 0.75 to 1.00. The second model uses Bruun Rule for-22 mula implemented in GEE and is capable to determine the coastline retreat of a profile through the 23 creation of a simple vector line from topo-bathymetric data. The model shows a very high correla-24 tion (0.97) with a classical Bruun Rule study performed in Aveiro coast (NW Portugal). The GEE 25 platform seems to be an important tool for coastal management. The models developed have been 26 openly shared, enabling the continuous improvement of the code by the scientific community.

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