scholarly journals Statistical model predicts shoreline erosion rates due to sea level rise

Eos ◽  
2011 ◽  
Vol 92 (50) ◽  
pp. 476-476
Author(s):  
Colin Schultz
2013 ◽  
Vol 165 ◽  
pp. 2137-2142 ◽  
Author(s):  
Gonéri Le Cozannet ◽  
Manuel Garcin ◽  
Lise Petitjean ◽  
Anny Cazenave ◽  
Mélanie Becker ◽  
...  

2013 ◽  
Vol 108 ◽  
pp. 149-157 ◽  
Author(s):  
Bradley M. Romine ◽  
Charles H. Fletcher ◽  
Matthew M. Barbee ◽  
Tiffany R. Anderson ◽  
L. Neil Frazer

2017 ◽  
Vol 41 (S1) ◽  
pp. 19-37 ◽  
Author(s):  
Lawrence P. Sanford ◽  
Jia Gao

Abstract We investigated spatial correlations between wave forcing, sea level fluctuations, and shoreline erosion in the Maryland Chesapeake Bay (CB), in an attempt to identify the most important relationships and their spatial patterns. We implemented the Simulating WAves Nearshore (SWAN) model and a parametric wave model from the USEPA Chesapeake Bay Program (CBP) to simulate wave climate in CB from 1985 to 2005. Calibrated sea level simulations from the CBP hydrodynamic model over the same time period were also acquired. The separate and joint statistics of waves and sea level were investigated for the entire CB. Spatial patterns of sea level during the high wave events most important for erosion were dominated by local north-south winds in the upper Bay and by remote coastal forcing in the lower Bay. We combined wave and sea level data sets with estimates of historical shoreline erosion rates and shoreline characteristics compiled by the State of Maryland at two different spatial resolutions to explore the factors affecting erosion. The results show that wave power is the most significant influence on erosion in the Maryland CB, but that many other local factors are also implicated. Marshy shorelines show a more homogeneous, approximately linear relationship between wave power and erosion rates, whereas bank shorelines are more complex. Marshy shorelines appear to erode faster than bank shorelines, for the same wave power and bank height. A new expression for the rate of shoreline erosion is proposed, building on previous work. The proposed new relationship expresses the mass rate of shoreline erosion as a locally linear function of the difference between applied wave power and a threshold wave power, multiplied by a structure function that depends on the ratio of water depth to bank height.


Author(s):  
Lesley Ewing

Sea level rise poses many daunting challenges that are economic, technical, ecological, social, scientific, cultural, governmental and legal. There have been enormous efforts to study historic sea level conditions, to analyze the main factors that have modified historic sea levels, to predict future sea levels at global, regional and local scales, to anticipate time periods for changes to flood frequency and erosion rates. While each of these efforts improves our understanding of possible future sea level rise the changes that might happen along the coast as a result, they also increase community uncertainty about what this will mean to their efforts to undertake long-term land use planning, to develop capital improvement plans for infrastructure and for future shore protection and recreational opportunities provided by existing beaches. The proposed presentation will discuss the various guidance reports that have been prepared by the California Coastal Commission staff to assist local governments in identifying and planning for sea level rise vulnerabilities. The presentation will also address many of the options that California communities are considering for sea level rise adaptation.Recorded Presentation from the vICCE (YouTube Link): https://youtu.be/-hXO0r79NKk


Eos ◽  
2020 ◽  
Vol 101 ◽  
Author(s):  
Kate Wheeling

Researchers identify the main sources of uncertainty in projections of global glacier mass change, which is expected to add about 8–16 centimeters to sea level, through this century.


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