A SENSITIVITY ANALYSIS OF SELECTED PARAMETERS BASED ON 8 SMSA'S

Abstract

In order to perform a sensitivity analysis of selected parameters of interest in Civil Defense systems analysis, probable casualties are estimated for 8 SMSA's over a range of fallout environments and shelter utilization patterns. The selected parameters are: SMSA population, population density, and ratio of shelter spaces to population; fallout arrival time and reference intensity; and restrictions on movement of people to shelter, leading to varying patterns of shelter utilization. The SMSA's are selected by 'judgment sampling' and range in population from 74,000 to 408,000. The fallout environments used range from a reference intensity of 600 r/hr and 7 hours time of arrival to a reference intensity of 30,000 r/hr and 1 hour time of arrival. The movement-to-shelter restrictions are: (1) movement restricted to the Standard Location (SL) of residence, (2) movement restricted to within two miles of the SL of residence, and (3) unrestricted movement to shelter anywhere within the SMSA. Also, (4) the transportation algorithm is used to determine the optimal (minimum casualty) allocation of people to shelter for each time of arrival and reference intensity combination. This allocation serves as a benchmark of ideality against which to measure other patterns of shelter utilization. Casualties are computed for each of the four movement patterns over the range of attack environments.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1965
Accession Number
AD0624702

Entities

People

  • H. R. Sink

Organizations

  • RTI International

Tags

Communities of Interest

  • C4I
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Civil Defense
  • Computations
  • Computer Programs
  • Computers
  • Data Analysis
  • Defense Systems
  • Distribution Functions
  • Fallout Shelters
  • Massachusetts
  • Mathematical Models
  • Operations Research
  • Sensitivity
  • South Carolina
  • Transportation
  • United States
  • Virginia

Readers

  • Nuclear Civil Defense.
  • Regression Analysis.

Technology Areas

  • Space