scholarly journals Radar and optical mapping of surge persistence and marsh dieback along the New Jersey Mid-Atlantic coast after Hurricane Sandy

2016 ◽  
Vol 37 (7) ◽  
pp. 1692-1713 ◽  
Author(s):  
Amina Rangoonwala ◽  
Nicholas M. Enwright ◽  
Elijah Ramsey III ◽  
Joseph P. Spruce
Author(s):  
Laura Lemke ◽  
Jon K. Miller

In this study, the Storm Erosion Index (SEI), developed by Miller and Livermont (2008), is used to reevaluate storms that have impacted New Jersey over the past several decades based on their erosion potential. This index considers all three drivers of coastal erosion including wave height, water level, and storm duration and has been shown to more closely correlated to observed erosion than more traditional indices (Miller and Livermont 2008). Here, storms are assessed at thirteen shoreline segments defined along the Atlantic coast of New Jersey. When reevaluated with SEI, the top three storms across all shoreline segments are the December 1992 nor’easter, the Veteran’s Day Storm in November 2009, and Hurricane Sandy in October 2012. In general, the December 1992 nor’easter and Hurricane Sandy are more highly ranked in the northern half of the state with Hurricane Sandy having a maximum return period of 38 years. The Veteran’s Day Storm on the other hand is more highly ranked in the southern half of the state having a maximum return period of 42 years. A closer look at these three storms illustrates the importance of each of the three drivers of coastal erosion in determining erosion potential. A particular emphasis is placed on storm duration which explains why the Veteran’s Day Storm (td = ~90 hours) outranks Hurricane Sandy (td = ~60 hours) in the southern portion of the state. The assessment performed in this study produces a record of historical storms ranked by SEI that future storms can be compared to. This allows for an understanding of the erosion potential of future storms in the context of what has occurred previously.


2021 ◽  
Author(s):  
Martin A. Kress ◽  
Samuel J. Weintraub

The purpose of this Coastal and Hydraulics Engineering technical note (CHETN) is to describe how historic Automatic Identification System (AIS) vessel position data were used to identify a design vessel for use in a storm surge barrier design study. Specifically, this CHETN describes how the AIS data were accessed, how the universe of vessel data was refined to allow for design vessel selection, and how that selection was used in a storm surge barrier (SSB) study. This CHETN draws upon the New Jersey Back Bays Coastal Storm Risk Management Feasibility Study (USACE-NAP 2019), specifically the Appendix B.2 Engineering Appendix Civil document1. The New Jersey Back Bays Study itself builds upon the work of the North Atlantic Coast Comprehensive Study (NACCS) initiated after Hurricane Sandy in 2012 (USACE 2015a).


Data Series ◽  
10.3133/ds887 ◽  
2014 ◽  
Author(s):  
C. Wayne Wright ◽  
Rodolfo J. Troche ◽  
Christine J. Kranenburg ◽  
Emily S. Klipp ◽  
Xan Fredericks ◽  
...  

Data Series ◽  
10.3133/ds767 ◽  
2014 ◽  
Author(s):  
C. Wayne Wright ◽  
Xan Fredericks ◽  
Rodolfo J. Troche ◽  
Emily S. Klipp ◽  
Christine J. Kranenburg ◽  
...  

Data Series ◽  
10.3133/ds905 ◽  
2015 ◽  
Author(s):  
Jeffrey M. Fischer ◽  
Patrick J. Phillips ◽  
Timothy J. Reilly ◽  
Michael J. Focazio ◽  
Keith A. Loftin ◽  
...  

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