Risk Quantification for Sustaining Coastal Military Installation Assets and Mission Capabilities

Abstract

The best available evidence indicates that sea level rise is occurring at unprecedented rates, and while military commanders may be situationally aware of their installations vulnerabilities, demonstrable risk-based assessments are needed to proactively adapt military systems, processes, and protocols in the face of this pervasive threat multiplier. This report describes the development and testing of a risk assessment framework a coastal hazard risk assessment approach that incorporates sea level rise threats and communicates the risk of mission impairment to the military in a meaningful manner that supports mission adaptation and sustainability into the future. The approach is tested on a North Atlantic naval base (Naval Station Norfolk, VA) using a variety of prescribed sea level rise scenarios (0-2m)in combination with simulated coastal storms ranging in intensities of 1-yr to 100-yr return intervals. Forcings (waves, winds, sediment, flooding, etc.) are generated using a group of high fidelity numerical storm models. Installation assets and missions are decomposed (i.e., broken down into critical assets and capabilities that contribute to mission performance), and storm damage to the infrastructure network are assessed using probabilistic Bayesian analyses. The risk-based approach and step-by-step procedures presented here can be used to assess risks to mission on other military installations facing similar threats from coastal hazards and rising sea levels. Moreover, the approach can be used to assess vulnerability and risks at the regional scale to encourage preparedness and enhance coastal resiliency both on and off military installations. In effect, this study offers a robust, scientifically defensible approach that transparently communicates potential risks, improves military readiness, and promotes sustainability in the face of climate change and sea level rise.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2014
Accession Number
AD1039724

Entities

People

  • Andrew Morang
  • Austin Davis
  • Cary A Talbot
  • Craig Fischenich
  • Edmund Jr J. Russo
  • Eric Alden Smith
  • Honghai Li
  • Janet Sims
  • Jay Ratcliff
  • Jose Rullan-rodriguez
  • Kelly A. Burks-copes
  • Kevin Winters
  • Kyle Mckay
  • Lihwa Lin
  • Martin Schultz
  • Mike Case
  • Mike Follum
  • Paul Mlakar
  • Ryan Pickett
  • Scott Bourne
  • Steve Lofton
  • Steve Pranger

Organizations

  • United States Army Corps of Engineers

Tags

Communities of Interest

  • Biomedical
  • Cyber
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Birds
  • Climate Change
  • Computational Fluid Dynamics
  • Computational Science
  • Environmental Protection
  • Geography
  • Ridges
  • Sea Level
  • Sea Level Rise
  • Storm Surges
  • Terrain
  • Topography

Fields of Study

  • Environmental science

Readers

  • Defense Acquisition Program Management
  • Joint Military Operations and Doctrine.
  • Mathematics or Statistics

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - DoD AI Strategy