particle_dist {AeroSampleR} | R Documentation |
Needed as a first step in estimating system efficiency. Make the data frame that will be used to estimate efficiency of variously sized aerosol particles' transport through the sampling system. To create your data, save this data to the global environment as shown in the examples.
particle_dist(
AMAD = 5,
log_norm_sd = 2.5,
log_norm_min = 5e-04,
log_norm_max = 100,
discrete_vals = c(1, 5, 10)
)
AMAD |
default is 5 based on ICRP 66 |
log_norm_sd |
default is 2.5 based on ICRP 66 |
log_norm_min |
default is 0.0005 based on ICRP 66 |
log_norm_max |
default is 100 based on ICRP 66 |
discrete_vals |
default is c(1, 5, 10) |
All inputs are in micron AMAD, meaning: the aerodynamic diameter of a particle is the diameter of a standard density (1000 kg/m3) sphere that has the same gravitational settling velocity as the particle in question.
a data frame containing a lognormally distributed set of particles and discrete particle sizes
df <- particle_dist() # default
df <- particle_dist(AMAD = 4.4,
log_norm_sd = 1.8)
head(df)