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# pfm
[](https://pkgdown.jrwb.de/pfm/)
[](https://jranke.r-universe.dev/ui/#package:pfm)
[](https://app.travis-ci.com/jranke/pfm)
[](https://codecov.io/github/jranke/pfm)
The R package **pfm** provides some utilities for fate modelling,
including simple routines for calculating predicted environmental
concentrations (PEC) and some routines for dealing with FOCUS pesticide
fate modelling tools made available under the GNU public license.
More specifically, **pfm** includes facilities for simple one-box
modelling of the
[saw-tooth](https://pkgdown.jrwb.de/pfm/reference/sawtooth.html)-like
curves resulting from multiple repeated applications, for calculation of
[PEC soil](https://pkgdown.jrwb.de/pfm/reference/PEC_soil.html) based on
the 1997 SANCO guidance and the first tiers of the EFSA PEC soil
guidance from 2012 and 2015, as well as some functions for calculating
[PEC surface
water](https://pkgdown.jrwb.de/pfm/reference/sawtooth.html). The [PEC
drift](https://pkgdown.jrwb.de/pfm/reference/PEC_sw_drift.html)
calculations can be based on the Rautmann drift percentiles published by
JKI, the exponential formulas published by Rautmann to inter- or
extrapolate to arbitrary distances, or on the integrated Rautmann
formulas (integrated over the width of the surface water body) used in
FOCUS drift calculations.
For PEC drainage calculations, the methods used by the [UK at tier
1](https://pkgdown.jrwb.de/pfm/reference/PEC_drainage_UK.html) and by
[Germany](https://pkgdown.jrwb.de/pfm/reference/PEC_sw_exposit_drainage.html)
are implemented. For runoff, the
[German](https://pkgdown.jrwb.de/pfm/reference/PEC_sw_exposit_runoff.html)
method used at tier 1 is available.
The output of FOCUS TOXSWA calculations can be read in, plotted, and
evaluated using the [TOXSWA
cwa](https://pkgdown.jrwb.de/pfm/reference/TOXSWA_cwa.html) class giving
maximum time weighted average concentrations and peak statistics way as
available when using the
[EPAT](https://www.rifcon.com/en/downloads/software-2/) tool.
## Installation
The easiest way to install the package is probably to use the
[r-universe repo](https://jranke.r-universe.dev/pfm):
``` r
install.packages("pfm",
repos = c("https://jranke.r-universe.dev", "https://cran.r-project.org"))
```
The packages at R-universe are provided with a slight delay.
Alternatively, you can install the package directly from github, e.g. by
using [`pak`](https://pak.r-lib.org).
``` r
# install.packages("pak")
pak::pak("jranke/pfm")
```
## Use
Please refer to the
[reference](http://pkgdown.jrwb.de/pfm/reference/index.md).
## Examples
One nice example of the usage of this package is the visualisation of a
time weighted average for a sawtooth curve obtained from several
overlays of mkinfit predictions as shown
[here](http://pkgdown.jrwb.de/pfm/reference/plot.one_box.md).
## Applications
Calculations of predicted environmental concentrations using this
package have been used in some publications by Agroscope.
| |
|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Korkaric M, Lehto M, Poiger T, de Baan L, Mathis M, Ammann L, Hanke I, Balmer M, Blom JF (2023) Risikoindikatoren für Pflanzenschutzmittel: weiterführende Analysen zur Berechnung. Agroscope Science, 154, 1-48, [doi:10.34776/as154g](https://doi.org/10.34776/as154g) |
| Korkaric M, Ammann L, Hanke I, Schneuwly J, Lehto M, Poiger T, de Baan L, Daniel O, Blom JF (2022) Neue Pflanzenschutzmittel-Risikoindikatoren für die Schweiz. Agrarforschung Schweiz 13, 1-10, [doi:10.34776/afs13-1](https://doi.org/10.34776/afs13-1) |
| Korkaric M, Hanke I, Grossar D, Neuweiler R, Christ B, Wirth J, Hochstrasser M, Dubuis PH, Kuster T, Breitenmoser S, Egger B, Perren S, Schürch S, Aldrich A, Jeker L, Poiger T, Daniel O (2020) Datengrundlage und Kriterien für eine Einschränkung der PSM-Auswahl im ÖLN: Schutz der Oberflächengewässer, der Bienen und des Grundwassers (Metaboliten), sowie agronomische Folgen der Einschränkungen. Agroscope Science, 106, 2020, 1-31. [doi:10.34776/as106g](https://doi.org/10.34776/as106g) |
|
