Adaptive urban dispersion integrated model

Andrew Wissink, Kyle Chand, Brian Gunney, Craig Kapfer, Branko Kosovic, Stevens Chan, Marsha Berger, Fotini Katopodes Chow

Research output: Contribution to conferencePaperpeer-review

Abstract

We have developed a prototype of a new integrated urban dispersion capability that utilizes adaptive grids and embedded boundary meshing. Our goal in developing this capability is to address the critical need for a fast, efficient and accurate tool for urban dispersion modeling to support a wide range of homeland and national security needs, vulnerability and risk assessment studies, operational emergency response, critical infrastructure and facility protection, as well as forensic analysis applications. While the adaptive CFD capability is still in the prototyping phase, the mesh generation tools have been successfully applied for studies in the Urban Dispersion Program. They have shown significant speedups that demonstrate their potential for operational use. For instance, meshes were generated over regions in Manhattan with over 1000 buildings in under 10 minutes on a standard workstation. Once we are able to effectively utilize dynamic adaptive meshes in the flow solver we anticipate a further order of magnitude reduction in computational cost, compared to a uniform mesh calculation. We envision this new integrated urban dispersion CFD modeling framework to be a key core capability for integration into the Interagency Modeling and Atmospheric Assessment Center (IMAAC) emergency response system. It will also be an important component for atmospheric release event reconstruction in the urban environment.

Original languageEnglish (US)
StatePublished - 2006
Event86th AMS Annual Meeting - Atlanta, GA, United States
Duration: Jan 29 2006Feb 2 2006

Other

Other86th AMS Annual Meeting
Country/TerritoryUnited States
CityAtlanta, GA
Period1/29/062/2/06

ASJC Scopus subject areas

  • Environmental Engineering
  • Global and Planetary Change
  • Management, Monitoring, Policy and Law

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