Estimation of Critical Population Support Requirements.

Abstract

This study evaluates the feasibility, costs and benefits of implementing a regionally self-sufficient system for food distribution in the event of a national emergency. A methodology for this evaluation assesses the feasibility of supporting the population of a region from the items produced within the region with minimum amount of outside help. The procedure used is a linear programming model which determines optimal regional monthly food production and consumption mix with minimum inter-regional flows. The consumption mix is selected by the model from different food commodities produced in the region in supplying nutrients for the population. The results of the analysis indicate that most of the regions can meet the food demand themselves with little or no outside help. Inter-regional transportations of food commodities is reduced compared to that in peacetime. The average diet calculated by the model meets the nutritional standards with a smaller quantity of food than the diet recommended by the USDA emergency allowance or peacetime consumption. This strategy is most applicable in a post-attack situation; implementation difficulties may preclude its use in pre-attack situations.

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Document Details

Document Type
Technical Report
Publication Date
May 30, 1984
Accession Number
ADA142453

Entities

People

  • A. S. Dhaliwal
  • E. Z. Faby
  • R. A. Cabraal

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Cold Storage
  • Command And Control
  • Commerce
  • Communication Systems
  • Dairy Products
  • Databases
  • Department Of Homeland Security
  • Emergency Response
  • Engineering
  • Fish
  • Food Processing
  • Linear Programming
  • National Security
  • Nato
  • Plastic Explosives
  • United States
  • Vegetables

Readers

  • Energy Conservation and Renewable Energy Engineering.
  • Gender and Food Studies
  • Life Cycle Cost Analysis