Linked Rainfall and Runoff Intensity-Duration-Frequency in the Face of Climate Change and Uncertainty

Abstract

The primary objective of this project is to revise and update storm and flood IDF relationships (or curves) for selected military installations by considering changes in the past and future storm and flood events, effect of snowmelt, and modeling and data uncertainties. Regional frequency analysis coupled with Bayesian uncertainty quantification were used to update rainfall IDF curves, which are then used by site-specific hydrologic models to develop runoff IDF curves that can be used to assess the vulnerability of military installations to flooding.

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Document Details

Document Type
Technical Report
Publication Date
Oct 31, 2019
Accession Number
AD1135425

Entities

People

  • Yonas Demissie

Organizations

  • Washington State University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Space

DTIC Thesaurus Topics

  • Bayesian Networks
  • Climate Change
  • Computational Science
  • Data Mining
  • Data Science
  • Databases
  • Drainage Basins
  • Environmental Protection
  • Flood Control
  • Flood Hazards
  • Geographic Information Systems
  • Geographic Regions
  • Geography
  • Information Processing
  • Information Science
  • Machine Learning
  • Meteorology
  • Monte Carlo Method
  • Probability
  • Probability Distributions
  • Storm Surges
  • Topography
  • United States

Fields of Study

  • Environmental science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Coastal and Marine Engineering/Sediment Transport/Hydraulic Engineering
  • International Relations and Conflict Resolution

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference