Leveraging Process Knowledge to Improve Modeling of Evaporation Rate Data for Agent Fate Wind Tunnels

Abstract

PURPOSE OF TALK: (1) Demonstrate how the modeling (regression analysis) of evaporation rate data can be improved by rescaling the variables based on knowledge of the process (2) Describe how running the experimental design trials in specific randomized blocks -- as compared to running the planned trials in a haphazard order -- facilitates (a) A sequential model building process (b) Identifying when running more trials adds little new information.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2007
Accession Number
ADA488121

Entities

People

  • Thomas A. Donnelly

Organizations

  • Edgewood Chemical Biological Center

Tags

Communities of Interest

  • Counter WMD

DTIC Thesaurus Topics

  • Evaporation
  • Experimental Design
  • Extrapolation
  • Factorial Design
  • High Humidity
  • Humidity
  • Information Operations
  • Interpolation
  • Low Humidity
  • Military Operations
  • Numbers
  • Operations Research
  • Regression Analysis
  • Three Dimensional
  • Two Dimensional
  • Wind Tunnels
  • Wind Velocity

Fields of Study

  • Physics

Readers

  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Regression Analysis.
  • Systems Analysis and Design