scholarly journals Living with Sea-Level Rise and Climate Change: A Case Study of the Netherlands

2008 ◽  
Vol 242 ◽  
pp. 367-379 ◽  
Author(s):  
M. VanKoningsveld ◽  
J. P. M. Mulder ◽  
M. J. F. Stive ◽  
L. VanDerValk ◽  
A. W. VanDerWeck
2010 ◽  
Vol 1 (5) ◽  
pp. 729-740 ◽  
Author(s):  
Jaap C. J. Kwadijk ◽  
Marjolijn Haasnoot ◽  
Jan P. M. Mulder ◽  
Marco M. C. Hoogvliet ◽  
Ad B. M. Jeuken ◽  
...  

2021 ◽  
Vol 13 (13) ◽  
pp. 7503
Author(s):  
Alexander Boest-Petersen ◽  
Piotr Michalak ◽  
Jamal Jokar Arsanjani

Anthropogenically-induced climate change is expected to be the contributing cause of sea level rise and severe storm events in the immediate future. While Danish authorities have downscaled the future oscillation of sea level rise across Danish coast lines in order to empower the coastal municipalities, there is a need to project the local cascading effects on different sectors. Using geospatial analysis and climate change projection data, we developed a proposed workflow to analyze the impacts of sea level rise in the coastal municipalities of Guldborgsund, located in Southeastern Denmark as a case study. With current estimates of sea level rise and storm surge events, the island of Falster can expect to have up to 19% of its landmass inundated, with approximately 39% of the population experiencing sea level rise directly. Developing an analytical workflow can allow stakeholders to understand the extent of expected sea level rise and consider alternative methods of prevention at the national and local levels. The proposed approach along with the choice of data and open source tools can empower other communities at risk of sea level rise to plan their adaptation.


2017 ◽  
Author(s):  
Aiqing Feng ◽  
Jiangbo Gao ◽  
Shaohong Wu ◽  
Yanzhong Li ◽  
Xiliu Yue

Abstract. Extreme water levels, caused by the joint occurrence of storm surges and high tides, always lead to super floods along coastlines. Given the ongoing climate change, this study explored the risk of future sea-level rise on the extreme inundation by combining P-III model and losses assessment model. Taking Rongcheng as a case study, the integrated risk of extreme water levels was assessed for 2050 and 2100 under three Representative Concentration Pathways (RCP) scenarios of 2.6, 4.5, and 8.5. Results indicated that the increase in total direct losses would reach an average of 60 % in 2100 as a 0.82 m sea-level rise under RCP 8.5. In addition, affected population would be increased by 4.95 % to 13.87 % and GDP (Gross Domestic Product) would be increased by 3.66 % to 10.95 % in 2050 while the augment of affected population and GDP in 2100 would be as twice as in 2050. Residential land and farmland would be under greater flooding risk in terms of the higher exposure and losses than other land-use types. Moreover, this study indicated that sea-level rise shortened the recurrence period of extreme water levels significantly and extreme events would become common. Consequently, the increase in frequency and possible losses of extreme flood events suggested that sea-level rise was very likely to exacerbate the extreme risk of coastal zone in future.


2012 ◽  
Vol 278 ◽  
pp. 8-19 ◽  
Author(s):  
Abiy S. Kebede ◽  
Robert J. Nicholls ◽  
Susan Hanson ◽  
Mustafa Mokrech

CONVERTER ◽  
2021 ◽  
pp. 236-241
Author(s):  
Yichia Lin, Wenlung Chang, Wongchai Anupong

During the COVID-19 pandemic period, island tourism experienced a severe impact. Island tourism is a thriving tourism model, but it is greatly affected by the SLR (sea level rise) due to climate change. Small island tourism must to face flooding problems that cause sea-level rise. GIS can be used to plan and monitor land use. This case study uses GIS (Geography information system) pre-COVID-19 pandemic period to predict flooding at different scales. After three different scales of digitization processing, it is found that: Overall, the flood area is located in the northern part of the island. The relationship is consistent, that is, the flood season is directly proportional to the peak tourist season. Sea level rise will cause changes in tourist attractions on the island; residents' daily lives will face major changes. This study provides a small amount of inundation scale predictions at different scales; hopes to be helpful for the island’s tourism resource planning and residents’ adaptation. To avoid add climate change refugees and rational use of tourism resources on lack nature resource small islands.


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