SCIPUFF Tangent-Linear/Adjoint Model for Release Source Location from Observational Data

Abstract

The threat of atmospheric contamination by hazardous materials remains a high national security concern. There is a strong need for the development of emerging technologies which can significantly advance risk assessment and response capabilities. In this project, Aerodyne Research Inc. (ARI) has developed and demonstrated an algorithm for source estimation, called AIMS ("Aerodyne Inverse Modeling System"). AIMS takes as input all available observational data and optionally any prior knowledge of the source parameters. The output is the set of source parameters that best describes the observations, including number of sources, emission rates, locations, start and end times. AIMS is also designed to include an a posteriori assessment of its solution quality, providing useful feedback on how much confidence to put in a particular solution and in what ways the solution quality might be improved. A novel feature in AIMS is the ability to integrate multiple observation types in order to maximize information content for source estimation. This capability has been demonstrated for data sets from stationary and mobile sensors.

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Document Details

Document Type
Technical Report
Publication Date
Jan 18, 2011
Accession Number
ADA545199

Entities

People

  • O. O. Oluwole
  • Richard C. Miake-lye
  • S. E. Albo

Organizations

  • Aerodyne Research

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Air Pollution
  • Algorithms
  • Boundary Layer
  • Chemical Reactions
  • Computational Science
  • Computer Graphics
  • Computer Programs
  • Data Sets
  • Engineering
  • Equations
  • Grids
  • Measurement
  • Mobile Laboratories
  • Time Intervals
  • Wind Direction
  • Wind Velocity

Readers

  • Aerosol Science/Aerosol Physics
  • Artificial Intelligence
  • Regression Analysis.