A Bayesian Analysis of the Flood Frequency Hydrology Concept

Abstract

The purpose of this document is to demonstrate a Bayesian analysis of the flood frequency hydrology concept as a formal probabilistic-based means by which to coherently combine and also evaluate the worth of different types of additional data (i.e., temporal, spatial, and causal) in a flood frequency analysis. This approach is responsive to the stated ultimate goal of existing U.S. Army Corps of Engineers (USACE) policy guidance, which is probabilistic analysis of all key variables, parameters, and components of flood damage reduction studies (USACE 2006). This objective will be accomplished by independently revisiting components of an example originally profiled by Viglione et al. (2013). This technical note will also include a brief discussion of some potential opportunities for future related research and development.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2016
Accession Number
AD1002919

Entities

People

  • Aaron Byrd
  • Alberto Viglione
  • Brian E. Skahill

Organizations

  • Engineer Research and Development Center

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Climate Change
  • Computational Science
  • Drainage Basins
  • Engineering
  • Engineers
  • Flood Control
  • Flood Damage
  • Floods
  • Information Science
  • Markov Chains
  • Monte Carlo Method
  • Probability
  • Probability Distributions
  • Random Variables
  • Simulations
  • Stochastic Processes
  • Water Resources

Readers

  • Coastal and Marine Engineering/Sediment Transport/Hydraulic Engineering
  • Computational Modeling and Simulation
  • Wetland-Land-Environmental Management.

Technology Areas

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