TY - GEN
T1 - Application of an Equilibrium Shoreline Model to the New Jersey Coast
AU - Lapann-Johannessen, C. J.
AU - Miller, J. K.
N1 - Publisher Copyright:
© 2017 American Society of Civil Engineers.
PY - 2015
Y1 - 2015
N2 - A cross-shore shoreline change model has been applied to the New Jersey coastline to provide predictions of regional shoreline position on timescales ranging from short-duration storm events to longer term seasonal fluctuations. The model relies on environmental input from readily available sources such as wave buoys and water level gauges, and is based on conservation of volume arguments and equilibrium beach profile theory. The model responds exponentially with time to variances in the equilibrium shoreline position, and the rate at which the shoreline approaches equilibrium is determined by a coefficient that is modified based on whether the profile is accreting or eroding. Eight parameterizations of the rate coefficient were investigated, as well as various methods for predicting erosion vs. accretion. The coefficients were calibrated to shoreline position data collected in Mantoloking, NJ. The study results show that the model can be used to predict shoreline position with a minimum mean absolute error of 3.53 m and a maximum correlation coefficient of 0.8104.
AB - A cross-shore shoreline change model has been applied to the New Jersey coastline to provide predictions of regional shoreline position on timescales ranging from short-duration storm events to longer term seasonal fluctuations. The model relies on environmental input from readily available sources such as wave buoys and water level gauges, and is based on conservation of volume arguments and equilibrium beach profile theory. The model responds exponentially with time to variances in the equilibrium shoreline position, and the rate at which the shoreline approaches equilibrium is determined by a coefficient that is modified based on whether the profile is accreting or eroding. Eight parameterizations of the rate coefficient were investigated, as well as various methods for predicting erosion vs. accretion. The coefficients were calibrated to shoreline position data collected in Mantoloking, NJ. The study results show that the model can be used to predict shoreline position with a minimum mean absolute error of 3.53 m and a maximum correlation coefficient of 0.8104.
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U2 - 10.1061/9780784480304.007
DO - 10.1061/9780784480304.007
M3 - Conference contribution
AN - SCOPUS:85026234033
T3 - Coastal Structures and Solutions to Coastal Disasters 2015: Resilient Coastal Communities - Proceedings of the Coastal Structures and Solutions to Coastal Disasters Joint Conference 2015
SP - 55
EP - 64
BT - Coastal Structures and Solutions to Coastal Disasters 2015
A2 - Wallendorf, Louise
A2 - Cox, Daniel T.
T2 - Coastal Structures and Solutions to Coastal Disasters Joint Conference 2015
Y2 - 9 September 2015 through 11 September 2015
ER -