Computational evolutionary inverse lagrangian puff model

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

doi:10.1016/j.envsoft.2010.04.013

Computational evolutionary inverse lagrangian puff model

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

Research output: Contribution to journal › Article in an indexed scientific journal › peer-review

7 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 PM_2.5 and PM₁₀ in a study area.

Original language	English
Pages (from-to)	1890-1893
Number of pages	4
Journal	Environmental Modelling and Software
Volume	25
Issue number	12
DOIs	https://doi.org/10.1016/j.envsoft.2010.04.013
State	Published - Dec 2010
Externally published	Yes

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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10.1016/j.envsoft.2010.04.013

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title = "Computational evolutionary inverse lagrangian puff model",

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 = "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)",

author = "Pe{\~n}a, {P. Alejandro} and Hern{\'a}ndez, {Jes{\'u}s A.} and Toro, {Victoria M.}",

year = "2010",

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T1 - Computational evolutionary inverse lagrangian puff model

AU - Peña, P. Alejandro

AU - Hernández, Jesús A.

AU - Toro, Victoria M.

PY - 2010/12

Y1 - 2010/12

N2 - 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.

AB - 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.

KW - Backward Gaussian puff tracking (BGPT)

KW - Digital elevation model (DEM)

KW - Evolutionary computation (EC)

KW - Evolutionary polynomial regression (EPR)

KW - Inverse langrangian puff model (ILPM)

KW - Particulate matter PM (PM, PM)

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U2 - 10.1016/j.envsoft.2010.04.013

DO - 10.1016/j.envsoft.2010.04.013

M3 - Artículo en revista científica indexada

AN - SCOPUS:84755160637

SN - 1364-8152

VL - 25

SP - 1890

EP - 1893

JO - Environmental Modelling and Software

JF - Environmental Modelling and Software

IS - 12

ER -

Computational evolutionary inverse lagrangian puff model

Abstract

Keywords

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