SCIPUFF Tangent-Linear/Adjoint Model for Release Source Location from Observational Data
| Autor: | Richard C. Miake-Lye, Oluwayemisi O. Oluwole, Simon E. Albo |
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| Rok vydání: | 2011 |
| Předmět: |
Risk analysis
Engineering business.industry Emerging technologies media_common.quotation_subject Tangent computer.software_genre Set (abstract data type) Method of undetermined coefficients Feature (computer vision) A priori and a posteriori Quality (business) Data mining business computer media_common |
| DOI: | 10.21236/ada545199 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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