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Computational intelligence applications in air pollution meteorology

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Tuesday, 25 January 2011: 8:30 AM-9:45 AM
2A (Washington State Convention Center)
Hosts: (Joint between the Ninth Conference on Artificial Intelligence and its Applications to the Environmental Sciences; and the Special Symposium on Applications of Air Pollution Meteorology )
Cochairs:  Sue Ellen Haupt, Meteorology Department, Penn State Univ., University Park, PA and Michael Brown, Group TSA-4, Energy and Environmental Analysis, LANL, Los Alamos, NM
Papers:
  8:30 AM
J1.1
Using a genetic algorithm to assimilate transport and dispersion variables
Sue Ellen Haupt, Penn State Univ., University Park, PA; and A. J. Annunzio and K. J. Schmehl
  8:45 AM
J1.2
Source term estimation of a volcanic ash cloud using a genetic algorithm
Kerrie J. Schmehl, Penn State Univ., State College, PA; and S. E. Haupt and D. Truesdell
  9:00 AM
J1.3
Source term estimation uncertainty analysis using a genetic algorithm coupled with dispersion models
Luna M. Rodriguez, Penn State Univ., University Park, PA; and S. E. Haupt, G. Young, A. J. Annunzio, and K. J. Schmehl
  9:15 AM
J1.4
Multi-entity field approximation for hazard origin estimation
Andrew J. Annunzio, Penn State Univ., University Park, PA; and S. E. Haupt, G. Young, and L. M. Rodriguez
  9:30 AM
J1.5
Non-Darwinian evolution for source estimation
Guido Cervone, George Mason Univ., Fairfax, VA; and P. Franzese
Manuscript (312.5 kB)