Calculate predicted environmental concentrations in surface water due to drift
Source:R/PEC_sw_drift.R
PEC_sw_drift.Rd
This is a basic, vectorised form of a simple calculation of a contaminant concentration in surface water based on complete, instantaneous mixing with input via spray drift.
Usage
PEC_sw_drift(
rate,
applications = 1,
water_depth = 30,
drift_percentages = NULL,
drift_data = c("JKI", "RF"),
crop_group_JKI = c("Ackerbau", "Obstbau frueh", "Obstbau spaet", "Weinbau frueh",
"Weinbau spaet", "Hopfenbau", "Flaechenkulturen > 900 l/ha", "Gleisanlagen"),
crop_group_focus = c("arable", "hops", "vines, late", "vines, early", "fruit, late",
"fruit, early", "aerial"),
distances = c(1, 5, 10, 20),
rate_units = "g/ha",
PEC_units = "µg/L"
)
Arguments
- rate
Application rate in units specified below
- applications
Number of applications for selection of drift percentile
- water_depth
Depth of the water body in cm
- drift_percentages
Percentage drift values for which to calculate PECsw. 'drift_data' and 'distances' if not NULL.
- drift_data
Source of drift percentage data. If 'JKI', the drift_data_JKI included in the package is used. If 'RF', the Rautmann formula is used, if implemented for the crop type and number of applications
- crop_group_JKI
When using the 'JKI' drift data, one of the German names as used in drift_parameters_focus.
- crop_group_focus
One of the crop groups as used in drift_parameters_focus
- distances
The distances in m for which to get PEC values
- rate_units
Defaults to g/ha
- PEC_units
Requested units for the calculated PEC. Only µg/L currently supported
Examples
PEC_sw_drift(100)
#> 1 m 5 m 10 m 20 m
#> 0.92333333 0.19000000 0.09666667 0.05000000
# Alternatively, we can use the formula for a single application to
# "Ackerbau" from the paper
PEC_sw_drift(100, drift_data = "RF")
#> 1 m 5 m 10 m 20 m
#> 0.91976667 0.19064473 0.09680051 0.04915079
# This makes it possible to also use different distances
PEC_sw_drift(100, distances = c(1, 3, 5, 6, 10, 20, 50, 100), drift_data = "RF")
#> 1 m 3 m 5 m 6 m 10 m 20 m 50 m
#> 0.91976667 0.31415827 0.19064473 0.15951494 0.09680051 0.04915079 0.02006434
#> 100 m
#> 0.01018774
# or consider aerial application
PEC_sw_drift(100, distances = c(1, 3, 5, 6, 10, 20, 50, 100), drift_data = "RF",
crop_group_focus = "aerial")
#> 1 m 3 m 5 m 6 m 10 m 20 m 50 m
#> 16.8233333 11.0585820 9.0986174 8.4866460 6.9825178 4.7004640 1.8820816
#> 100 m
#> 0.9417586
# Using custom drift percentages is also supported
PEC_sw_drift(100, drift_percentages = c(2.77, 0.95, 0.57, 0.48, 0.29, 0.15, 0.06, 0.03))
#> 2.77 % 0.95 % 0.57 % 0.48 % 0.29 % 0.15 % 0.06 %
#> 0.92333333 0.31666667 0.19000000 0.16000000 0.09666667 0.05000000 0.02000000
#> 0.03 %
#> 0.01000000