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Computational evolutionary inverse lagrangian puff model
Authors:Alejandro Peña P  Jesús A Hernández  Victoria M Toro
Affiliation:1. State Key Laboratory of Coal Combustion, Huazhong University of Science and Technology, Wuhan 430074, P.R. China;2. Centre for Energy Technology, School of Mechanical Engineering, The University of Adelaide, Adelaide SA 5005, Australia;1. Department of Engineering Science and Ocean engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei, Taiwan;2. Research Department, CR Classification Society, 8F., No. 103, Sec. 3, Nanjing E. Road, Taipei, Taiwan;3. Institute of Applied Mathematical Sciences, National Taiwan University, Taiwan;4. Center for Advanced Study in Theoretical Sciences, National Taiwan University, Taiwan
Abstract:This article presents a model based on the principles of evolutionary computation and on the principles of dispersion of an Inverse lagrangian puff model of the type Backward gaussian puff tracking in order to determine the spatial behavior over time of the concentration for PM2.5 and PM10 in a study area.
Keywords:
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