opcsim.AerosolDistribution¶

class opcsim.AerosolDistribution(label=None)¶

Define an aerosol distribution.

Assuming an aerosol distribution can be described as the sum of n lognormal modes, define as (Seinfeld and Pandis equation 8.54):

\[n_N^o(logD_p)=Σ_{i=1}^{n}\frac{N_i}{\sqrt{2π} logσ_i}exp(-\frac{(logD_p - logD̄_{pi})^2}{2log^2σ_i})\]

__init__(self, label=None)¶

Initialize an Aerosol Distribution.

Parameters

Returns

Examples

>>> d = AerosolDistribution("Urban")

Methods

`__init__`(self[, label])	Initialize an Aerosol Distribution.
`add_mode`(self, n, gm, gsd[, label, kappa, …])	Add a mode to the distribution as defined using N, GM, and GSD.
`cdf`(self, dmax[, dmin, weight, mode, rh, rho])	Evaluate and return the cumulative probability distribution function between dmin and dmax.
`pdf`(self, dp[, base, weight, mode, rh, rho])	Evaluate and return the probability distribution function at particle diameter dp.