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A method for assessing the coastline recession due to the sea level rise by assuming stationary wind-wave climate
Stockholm University, Faculty of Science, Department of Meteorology . Swedish Meteorological and Hydrological Institute, Sweden.
Number of Authors: 4
2015 (English)In: Oceanological and Hydrobiological Studies, ISSN 1730-413X, Vol. 44, no 3, 362-380 p.Article in journal (Refereed) Published
Abstract [en]

The 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.

Place, publisher, year, edition, pages
2015. Vol. 44, no 3, 362-380 p.
Keyword [en]
modelling, coastline changes, dynamic equilibrium, sediment budget estimation, climate change
National Category
Biological Sciences Earth and Related Environmental Sciences
URN: urn:nbn:se:su:diva-122343DOI: 10.1515/ohs-2015-0035ISI: 000362232100009OAI: diva2:872982
Available from: 2015-11-21 Created: 2015-10-29 Last updated: 2015-11-21Bibliographically approved

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