Package index • pfm

General utility functions

Functions that are independent of specific fate modelling areas

geomean(): Calculate the geometric mean

one_box(): Create a time series of decline data

plot(<one_box>): Plot time series of decline data

sawtooth(): Create decline time series for multiple applications

twa(): Calculate a time weighted average concentration

max_twa(): The maximum time weighted average concentration for a moving window

pfm_degradation(): Calculate a time course of relative concentrations based on an mkinmod model

SFO_actual_twa(): Actual and maximum moving window time average concentrations for SFO kinetics

FOMC_actual_twa(): Actual and maximum moving window time average concentrations for FOMC kinetics

reexports set_nd_nq set_nd_nq_focus: Objects exported from other packages

TSCF(): Estimation of the transpiration stream concentration factor

Predicted environmental concentrations in soil

PEC_soil(): Calculate predicted environmental concentrations in soil

PEC_soil_mets(): Calculate initial and accumulation PEC soil for a set of metabolites

soil_scenario_data_EFSA_2015: Properties of the predefined scenarios from the EFSA guidance from 2015

soil_scenario_data_EFSA_2017: Properties of the predefined scenarios from the EFSA guidance from 2017

PEC_FOMC_accu_rel(): Get the relative accumulation of an FOMC model over multiples of an interval

EFSA_washoff_2017: Subset of EFSA crop washoff default values

Predicted environmental concentrations in groundwater

FOCUS_GW_scenarios_2012: A very small subset of the FOCUS Groundwater scenario definitions

EFSA_GW_interception_2014: Subset of EFSA crop interception default values for groundwater modelling

Predicted environmental concentrations in surface water

PEC_sw_drift(): Calculate predicted environmental concentrations in surface water due to drift

drift_data_JKI: Deposition from spray drift expressed as percent of the applied dose as published by the JKI

drift_parameters_focus: Regression parameters for the Rautmann drift data

drift_percentages_rautmann(): Calculate drift percentages based on Rautmann data

PEC_sw_drainage_UK(): Calculate initial predicted environmental concentrations in surface water due to drainage using the UK method

PEC_sw_sed(): Calculate predicted environmental concentrations in sediment from surface water concentrations

PEC_sw_focus(): Calculate PEC surface water at FOCUS Step 1

chent_focus_sw(): Create a chemical compound object for FOCUS Step 1 calculations

FOCUS_Step_12_scenarios: Step 1/2 scenario data as distributed with the FOCUS Step 1/2 calculator

PEC_sw_exposit_drainage(): Calculate PEC surface water due to drainage as in Exposit 3

PEC_sw_exposit_runoff(): Calculate PEC surface water due to runoff and erosion as in Exposit 3

perc_runoff_exposit: Runoff loss percentages as used in Exposit 3

perc_runoff_reduction_exposit: Runoff reduction percentages as used in Exposit

TOXSWA_cwa: R6 class for holding TOXSWA water concentration data and associated statistics

read.TOXSWA_cwa(): Read TOXSWA surface water concentrations

plot(<TOXSWA_cwa>): Plot TOXSWA surface water concentrations

Classifications and indicators

Evaluating environmental fate properties

SSLRC_mobility_classification(): Determine the SSLRC mobility classification for a chemical substance from its Koc

GUS() print(<GUS_result>): Groundwater ubiquity score based on Gustafson (1989)

Work with chent objects containing relevant information

endpoint() soil_DT50() soil_Kfoc() soil_N() soil_sorption(): Retrieve endpoint information from the chyaml field of a chent object

Utilities

get_vertex(): Fit a parabola through three points