TY - JOUR
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)
UR - http://www.scopus.com/inward/record.url?scp=84755160637&partnerID=8YFLogxK
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 -