smps.Grimm11D.integrate

Grimm11D.integrate(weight='number', dmin=0.0, dmax=1.0, **kwargs)

Integrate by weight for each record in time.

Compute the total number of particles, surface area, volume, or mass between any two particle diameters. Correct for hygroscopic growth by defining a hygroscopic growth factor, kappa.

Parameters

weightstr, default=’number’

The moment/variable to integrate. One of (‘number’, ‘surface’, ‘volume’, ‘mass’).

dminfloat, default=0.0

The minimum particle diameter in µm.

dmaxfloat, default=1.

The maximum particle diameter in µm.

rhofloat or callable

The density as a float or a callable function which takes particle diameter as its only argument and returns the density at that diameter.

kappafloat or callable

The kappa growth factor as a float or a callable function which takes particles diameter as its only argument and returns the kappa value at that diameter.

rhstr

If kappa is defined, rh is the column of data corresponding to the relative humidity which is required to correct for hygroscopic growth.

Returns

datapd.Series

A series containing the integrated values.

Examples

Compute the total particle concentration under 1 µm:

>>> obj.integrate(weight='number', dmin=0., dmax=1.)

Compute PM1

>>> obj.integrate(weight='mass', dmin=0., dmax=1.)

Compute PM2.5 assuming a kappa=0.3

>>> obj.integrate(weight='mass', dmin=0., dmax=2.5, kappa=0.3, rh="sample_rh")