Risk-Based Evaluation of Flood Warning and Preparedness Systems. Volume 2 - Technical.

Abstract

Each of the four methodologies developed in this report contributes an important dimension to risk-based evaluation of systems for flood damage reduction which is incomplete without accounting for both structural and nonstructural measures. The unifing theme of these results is that the design and evaluation of structural and nonstructural measures for flood mitigation, including flood warning and preparedness systems, is an integrative, holistic process that eventually must build on an understanding of the contribution of each type of measure to the performance of the overall system. Furthermore, the design of flood mitigation is tied to multiple objectives of minimizing cost and risk and maximizing performance. Consideration of the risk of extreme events is an essential element in the evaluation of design tradeoffs. The four methodologies developed here for the modeling and evaluation of flood warning and preparedness systems are: (1) Integration of structural measures and flood warning/preparedness systems, (2) Multiobjective decision-tree analysis, (3) Performance characteristics of a flood warning system, and (4) Selection of optimal flood warning threshold.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1996
Accession Number
ADA326242

Entities

People

  • Duan Li
  • James H. Lambert
  • Roman Krzysztofowicz
  • Vijay Tulsiani
  • Yacov Y. Haimes

Organizations

  • United States Army Corps of Engineers

Tags

Communities of Interest

  • C4I
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Civil Engineering
  • Computational Science
  • Distribution Functions
  • Engineers
  • Flood Control
  • Floods
  • Game Theory
  • Mathematical Models
  • Normal Distribution
  • Potomac River
  • Probability
  • Probability Density Functions
  • Probability Distributions
  • Random Variables
  • Regression Analysis
  • Systems Engineering
  • Warning Systems

Readers

  • Hydrologic Risk Analysis and Mitigation.
  • Life Cycle Cost Analysis
  • Systems Analysis and Design