An Optimization-Based Approach for Source Term Estimations of Atmospheric Releases
نویسندگان
چکیده
منابع مشابه
Quasi-Monte Carlo, Monte Carlo, and regularized gradient optimization methods for source characterization of atmospheric releases
An inversion technique comprising stochastic search and regularized gradient optimization was developed to solve the atmospheric source characterization problem. The inverse problem comprises retrieving the spatial coordinates, source strength, and the wind speed and wind direction at the source, given certain receptor locations and concentration values at these receptor locations. The Gaussian...
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Source characterization of atmospheric releases using stochastic search and regularized gradient optimization B. Addepalli a , K. Sikorski b , E.R. Pardyjak a & M.S. Zhdanov c a Department of Mechanical Engineering, University of Utah, Salt Lake City 84112, USA b School of Computing, University of Utah, Salt Lake City 84112, USA c Department of Geology and Geophysics, University of Utah, Salt L...
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This paper presents the development of an inverse model that may be used to estimate the source term parameters for a polluting gas released into the atmosphere from a point above the ground. The model uses measured pollution concentrations at observation sites on the ground as well as meteorological data such as wind speed and cloud cover. The inverse model is formulated as a leastsquares mini...
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ژورنال
عنوان ژورنال: Earth and Space Science
سال: 2018
ISSN: 2333-5084
DOI: 10.1029/2018ea000444