The US invests hundreds of millions of dollars annually into beach nourishment and other coastal storm risk management efforts. Evaluation of the vulnerability of beach communities requires metrics that are broadly applicable in a range of coastlines. Indices that measure these vulnerabilities provide decision makers with the information required to prioritize infrastructure investment in beach communities. The Coastal Engineering Resilience Index(CERI) [2] is a metric that combines multiple parameters that describe a sandy beach’s ability to withstand storm impacts. This study applies the CERI index to predict the relative resistance of varied beach cross-sections to storm attack selected from locations of interest (LOI) across the East and Gulf Coast. These profiles are perturbed for greater variability in initial profile conditions and subsequently evaluated through the cross-shore morphology model CSHORE. A comparison of CERI and other indices with the CSHORE modeling results was performed through application of the Kendall rank correlation coefficient.

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Regional Application of Coastal Engineering Resilience Index

  • Rusty Permenter,
  • Catie Dillon,
  • Martin Schultz

摘要

The US invests hundreds of millions of dollars annually into beach nourishment and other coastal storm risk management efforts. Evaluation of the vulnerability of beach communities requires metrics that are broadly applicable in a range of coastlines. Indices that measure these vulnerabilities provide decision makers with the information required to prioritize infrastructure investment in beach communities. The Coastal Engineering Resilience Index(CERI) [2] is a metric that combines multiple parameters that describe a sandy beach’s ability to withstand storm impacts. This study applies the CERI index to predict the relative resistance of varied beach cross-sections to storm attack selected from locations of interest (LOI) across the East and Gulf Coast. These profiles are perturbed for greater variability in initial profile conditions and subsequently evaluated through the cross-shore morphology model CSHORE. A comparison of CERI and other indices with the CSHORE modeling results was performed through application of the Kendall rank correlation coefficient.