Computational evolutionary inverse lagrangian puff model

P. Alejandro Peña, Jesús A. Hernández, Victoria M. Toro

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

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.

Original languageEnglish
Pages (from-to)1890-1893
Number of pages4
JournalEnvironmental Modelling and Software
Volume25
Issue number12
DOIs
StatePublished - Dec 2010
Externally publishedYes

Keywords

  • Backward Gaussian puff tracking (BGPT)
  • Digital elevation model (DEM)
  • Evolutionary computation (EC)
  • Evolutionary polynomial regression (EPR)
  • Inverse langrangian puff model (ILPM)
  • Particulate matter PM (PM, PM)

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