Aeris Exhibits Session Presentations and Posters at the 2017 Chemical and Biological Defense Science & Technology Conference

28-30 November 2017

Long Beach, California – Aeris, LLC had a strong presence at the 2017 Chemical and Biological Defense Science & Technology Conference, exhibiting multiple session presentations and posters.

A Methodology for the Testing and Evaluation of Aerosol Remote Sensing Technologies Using Ensembles of Realistic Transport and Dispersion Simulations

Dr. Paul Bieringer and Mr. George Bieberbach authored a presentation included in Dr. John Hannan’s session, A Modeling & Simulation Framework for Comprehensive CBDP Decision Support. This session acknowledged that modeling and simulation efforts normally exist in stand-alone configurations, outside frameworks which allow comprehensive analytical use. The goal of this session was to “explore the concept of a Modeling & Simulation Framework to support a broad spectrum of CBDP activities to include trade space analyses for acquisition decisions to simulation-based studies to augment requirement refinement processes.”

Aeris’ presentation, A Methodology for the Testing and Evaluation of Aerosol Remote Sensing Technologies Using Ensembles of Realistic Transport and Dispersion Simulations, was given by Mr. Bieberbach. The presentation described a methodology for assessing a variety of remote sensing technologies to detect the presence of chemical and biological contaminants in the atmosphere and objectively comparing and contrasting these technologies with each other. The full abstract can be found here.

A Simulation Platform for Real-Time, Buildings-Aware, Contaminant Transport

Dr. Aaron Piña and Dr. Paul Bieringer were co-authors on a presentation included in Mr. Rick Fry’s session, Hazard Prediction and Warning. The goal of the Defense Threat Reduction Agency’s (DTRA) Chemical, Biological, Radiological, and Nuclear (CBRN) Hazard Prediction and Warning focus area is “to enhance CBRN warfare agent hazard prediction and warning capabilities in support of DTRA Reachback and in fulfillment of JEM and JWARN requirements.” Presentations for this session were asked to demonstrate “(1) emerging hazard prediction and warning modeling tools in support of decision-making and program planning for CBRN defense, (2) innovative techniques for predicting initial hazards, exposures, casualties, and infections, and (3) new methods for enabling timely and accurate warnings and intelligent responses.”

The presentation, A Simulation Platform for Real-Time, Buildings-Aware, Contaminant Transport, was given by Dr. Michael Sohn. The presentation described a virtual environment suitable for predicting urban airflow and contaminant transport utilizing large eddy simulation (LES) and well-mixed zonal methods for outdoor and indoor modeling, respectively. The full abstract can be found here. As part of this presentation, Dr. Piña contributed a live demonstration of this virtual environment, known as the Joint Outdoor-indoor Urban LES (JOULES) system.

 

A Unified Modeling Approach in CBRN Detection Systems Deployments and System Analysis

 

Aeris’ poster A Unified Modeling Approach in CBRN Detection Systems Deployments and System Analysis was co-authored by Aeris staff Dr. Paul Bieringer, Mr. George Bieberbach, and Dr. Aaron Piña in addition to Scott Longmore, Luna Rodriguez, and Jeff Copeland. This poster addressed the difficulty of achieving logistically feasible fidelity levels in CBRN applications which require analysis in the areas of (1) comprehensive weather condition specifications and (2) detailed modeling and simulation. The full abstract can be found here. A full manuscript is available here.

Assimilation of LIDAR Backscatter and Wind Data into an Atmospheric Transport and Dispersion Model

Aeris’ poster Assimilation of LIDAR Backscatter and Wind Data into an Atmospheric Transport and Dispersion Model was co-authored by Aeris staff Dr. Paul Bieringer, Mr. George Bi

eberbach, Dr. Aaron Piña, Mr. Jonathan Hurst, and Mr. Joshwa Moellenkamp in addition to Scott Higdon and Shane Mayor. This poster provided an overview of recent investigation into the utilization of elastic backscatter LIDAR measurements to improve near range atmospheric transport and dispersion predictions for airborne contaminants. The full abstract can be found here. More information on this project can be found on our project description page, Operational Assimilation of LIDAR Derived Backscatter and Wind Data into an Atmospheric Transport and Dispersion Model.