Modeling and simulating chemical weapon dispersal patterns in DIRSIG

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Title: Modeling and simulating chemical weapon dispersal patterns in DIRSIG
Author: Arnold, Peter
Abstract: Fieldable thermal infrared hyperspectral imaging spectrometers have made it possible to design and construct new instruments for better detection of battlefield hazards such as chemical weapon clouds. The availability of spectroscopic measurements of these clouds can be used not only for the detection and identification of specific chemical agents but also to potentially quantify the lethality of the cloud. The simulation of chemical weapon dispersal patterns in a synthetic imaging environment offers significant benefits to sensor designers. Such an environment allows designers to easily develop trade spaces to test detection and quantification algorithms without the need for expensive and dangerous field releases. This research focuses on the implementation of a generic gas dispersion model that has been integrated into the Digital Imaging and Remote Sensing Generation (DIRSIG) model. The gas cloud model utilizes a 3D Gaussian distribution based on theory to predict factory stack gas plumes. The model incorporates first order dynamics (drift and dispersion) to drive the macro-scale cloud development and movement. The model also attempts to account for turbulence by using fractal fractional Brownian motion techniques to reproduce the micro-scale variances within the cloud. The cloud pathlength concentrations are then processed by the DIRSIG radiometry sub-model to compute the emission and transmission of the cloud body on a per-pixel basis. Example hyperspectral image cubes containing common agents and release amounts are presented. Time lapse sequences are also provided to demonstrate the evolution of the cloud over time. Finally, recommendations and limitations of the model are listed for future improvements.
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Date: 1999

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