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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