From 8423df9693c5cd2f2d36ee3131c7b6fcefa4d0ca Mon Sep 17 00:00:00 2001
From: Johannes Ranke
get_events(threshold, total = FALSE)
Populate a datataframe with event information for the specified threshold value
- in /L. If total = TRUE
, the total concentration including the amount
+ in µg/L. If total = TRUE
, the total concentration including the amount
adsorbed to suspended matter will be used. The resulting dataframe is stored in the
events
field of the object.
moving_windows(windows, total = FALSE)
Add to the windows
field described above.
diff --git a/docs/reference/perc_runoff_reduction_exposit.html b/docs/reference/perc_runoff_reduction_exposit.html
index 59dd40d..fba910b 100644
--- a/docs/reference/perc_runoff_reduction_exposit.html
+++ b/docs/reference/perc_runoff_reduction_exposit.html
@@ -75,7 +75,7 @@
A table of the runoff reduction percentages used in Exposit 3 for different vegetated buffer widths
- buffers
+ perc_runoff_reduction_exposit
Format
diff --git a/docs/reference/pesticide.txt b/docs/reference/pesticide.txt
index 786f7f0..e8743b0 100644
--- a/docs/reference/pesticide.txt
+++ b/docs/reference/pesticide.txt
@@ -13,3 +13,7 @@ Dummy 1 cereals, spring n NA Dummy 1 cereals, winter s of Dummy 1 citrus n mm Du
M1 cereals, winter n NA M1 cereals, winter s of M1 cereals, winter n mm M1 cereals, winter s js M1 cereals, winter n NA M1 cereals, winter s of M1 cereals, winter n mm M1 cereals, winter s js 250.00 100.00 100.00 50.00 100.00 100.00 0.00E+00 50.00 1000.00 1.00 0.00E+00 1.00 -99.00 -99.00 -99.00 -99.00 0.00E+00 1.00
Dummy 1 cereals, spring n NA Dummy 1 cereals, winter s of Dummy 1 citrus n mm Dummy 1 cotton s js Dummy 1 field beans n NA Dummy 1 grass / alfalfa s of Dummy 1 hops n mm Dummy 1 legumes s js Dummy 1 maize n NA Dummy 1 oil seed rape, spring s of Dummy 1 oil seed rape, winter n mm Dummy 1 olives s js Dummy 1 pome / stone fruit, early applns n NA Dummy 1 pome / stone fruit, late applns s of Dummy 1 potatoes n mm Dummy 1 soybeans s js Dummy 1 sugar beets n NA Dummy 1 sunflowers s of Dummy 1 tobacco n mm Dummy 1 vegetables, bulb s js Dummy 1 vegetables, fruiting n NA Dummy 1 vegetables, leafy s of Dummy 1 vegetables, root n mm Dummy 1 vines, early applns s js Dummy 1 vines, late applns n NA Dummy 1 appln, aerial s of Dummy 1 appln, hand (crop < 50 cm) n mm Dummy 1 appln, hand (crop > 50 cm) s js Dummy 1 no drift (incorp or seed trtmt) n NA Dummy 1 cereals, spring n NA Dummy 1 cereals, winter s of Dummy 1 citrus n mm Dummy 1 cotton s js Dummy 1 field beans n NA Dummy 1 grass / alfalfa s of Dummy 1 hops n mm Dummy 1 legumes s js Dummy 1 maize n NA Dummy 1 oil seed rape, spring s of Dummy 1 oil seed rape, winter n mm Dummy 1 olives s js Dummy 1 pome / stone fruit, early applns n NA Dummy 1 pome / stone fruit, late applns s of Dummy 1 potatoes n mm Dummy 1 soybeans s js Dummy 1 sugar beets n NA Dummy 1 sunflowers s of Dummy 1 tobacco n mm Dummy 1 vegetables, bulb s js Dummy 1 vegetables, fruiting n NA Dummy 1 vegetables, leafy s of Dummy 1 vegetables, root n mm Dummy 1 vines, early applns s js Dummy 1 vines, late applns n NA Dummy 1 appln, aerial s of Dummy 1 appln, hand (crop < 50 cm) n mm Dummy 1 appln, hand (crop > 50 cm) s js Dummy 1 no drift (incorp or seed trtmt) n NA -99.00 -99.00 6000.00 344.80 0.00E+00 6.00 0.00E+00 0.00E+00 3000.00 1.00 0.00E+00 0.00E+00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 24.00 25.00 26.00 27.00 28.00 0.00E+00 -99.00 -99.00 -99.00 0.00E+00 1.00
M1 cereals, winter n NA M1 cereals, winter s of M1 cereals, winter n mm M1 cereals, winter s js M1 cereals, winter n NA M1 cereals, winter s of M1 cereals, winter n mm M1 cereals, winter s js 250.00 100.00 100.00 50.00 100.00 100.00 0.00E+00 50.00 1000.00 1.00 0.00E+00 1.00 -99.00 -99.00 -99.00 -99.00 0.00E+00 1.00
+Dummy 1 cereals, spring n NA Dummy 1 cereals, winter s of Dummy 1 citrus n mm Dummy 1 cotton s js Dummy 1 field beans n NA Dummy 1 grass / alfalfa s of Dummy 1 hops n mm Dummy 1 legumes s js Dummy 1 maize n NA Dummy 1 oil seed rape, spring s of Dummy 1 oil seed rape, winter n mm Dummy 1 olives s js Dummy 1 pome / stone fruit, early applns n NA Dummy 1 pome / stone fruit, late applns s of Dummy 1 potatoes n mm Dummy 1 soybeans s js Dummy 1 sugar beets n NA Dummy 1 sunflowers s of Dummy 1 tobacco n mm Dummy 1 vegetables, bulb s js Dummy 1 vegetables, fruiting n NA Dummy 1 vegetables, leafy s of Dummy 1 vegetables, root n mm Dummy 1 vines, early applns s js Dummy 1 vines, late applns n NA Dummy 1 appln, aerial s of Dummy 1 appln, hand (crop < 50 cm) n mm Dummy 1 appln, hand (crop > 50 cm) s js Dummy 1 no drift (incorp or seed trtmt) n NA Dummy 1 cereals, spring n NA Dummy 1 cereals, winter s of Dummy 1 citrus n mm Dummy 1 cotton s js Dummy 1 field beans n NA Dummy 1 grass / alfalfa s of Dummy 1 hops n mm Dummy 1 legumes s js Dummy 1 maize n NA Dummy 1 oil seed rape, spring s of Dummy 1 oil seed rape, winter n mm Dummy 1 olives s js Dummy 1 pome / stone fruit, early applns n NA Dummy 1 pome / stone fruit, late applns s of Dummy 1 potatoes n mm Dummy 1 soybeans s js Dummy 1 sugar beets n NA Dummy 1 sunflowers s of Dummy 1 tobacco n mm Dummy 1 vegetables, bulb s js Dummy 1 vegetables, fruiting n NA Dummy 1 vegetables, leafy s of Dummy 1 vegetables, root n mm Dummy 1 vines, early applns s js Dummy 1 vines, late applns n NA Dummy 1 appln, aerial s of Dummy 1 appln, hand (crop < 50 cm) n mm Dummy 1 appln, hand (crop > 50 cm) s js Dummy 1 no drift (incorp or seed trtmt) n NA -99.00 -99.00 6000.00 344.80 0.00E+00 6.00 0.00E+00 0.00E+00 3000.00 1.00 0.00E+00 0.00E+00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 24.00 25.00 26.00 27.00 28.00 0.00E+00 -99.00 -99.00 -99.00 0.00E+00 1.00
+M1 cereals, winter n NA M1 cereals, winter s of M1 cereals, winter n mm M1 cereals, winter s js M1 cereals, winter n NA M1 cereals, winter s of M1 cereals, winter n mm M1 cereals, winter s js 250.00 100.00 100.00 50.00 100.00 100.00 0.00E+00 50.00 1000.00 1.00 0.00E+00 1.00 -99.00 -99.00 -99.00 -99.00 0.00E+00 1.00
+Dummy 1 cereals, spring n NA Dummy 1 cereals, winter s of Dummy 1 citrus n mm Dummy 1 cotton s js Dummy 1 field beans n NA Dummy 1 grass / alfalfa s of Dummy 1 hops n mm Dummy 1 legumes s js Dummy 1 maize n NA Dummy 1 oil seed rape, spring s of Dummy 1 oil seed rape, winter n mm Dummy 1 olives s js Dummy 1 pome / stone fruit, early applns n NA Dummy 1 pome / stone fruit, late applns s of Dummy 1 potatoes n mm Dummy 1 soybeans s js Dummy 1 sugar beets n NA Dummy 1 sunflowers s of Dummy 1 tobacco n mm Dummy 1 vegetables, bulb s js Dummy 1 vegetables, fruiting n NA Dummy 1 vegetables, leafy s of Dummy 1 vegetables, root n mm Dummy 1 vines, early applns s js Dummy 1 vines, late applns n NA Dummy 1 appln, aerial s of Dummy 1 appln, hand (crop < 50 cm) n mm Dummy 1 appln, hand (crop > 50 cm) s js Dummy 1 no drift (incorp or seed trtmt) n NA Dummy 1 cereals, spring n NA Dummy 1 cereals, winter s of Dummy 1 citrus n mm Dummy 1 cotton s js Dummy 1 field beans n NA Dummy 1 grass / alfalfa s of Dummy 1 hops n mm Dummy 1 legumes s js Dummy 1 maize n NA Dummy 1 oil seed rape, spring s of Dummy 1 oil seed rape, winter n mm Dummy 1 olives s js Dummy 1 pome / stone fruit, early applns n NA Dummy 1 pome / stone fruit, late applns s of Dummy 1 potatoes n mm Dummy 1 soybeans s js Dummy 1 sugar beets n NA Dummy 1 sunflowers s of Dummy 1 tobacco n mm Dummy 1 vegetables, bulb s js Dummy 1 vegetables, fruiting n NA Dummy 1 vegetables, leafy s of Dummy 1 vegetables, root n mm Dummy 1 vines, early applns s js Dummy 1 vines, late applns n NA Dummy 1 appln, aerial s of Dummy 1 appln, hand (crop < 50 cm) n mm Dummy 1 appln, hand (crop > 50 cm) s js Dummy 1 no drift (incorp or seed trtmt) n NA -99.00 -99.00 6000.00 344.80 0.00E+00 6.00 0.00E+00 0.00E+00 3000.00 1.00 0.00E+00 0.00E+00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00 21.00 22.00 23.00 24.00 25.00 26.00 27.00 28.00 0.00E+00 -99.00 -99.00 -99.00 0.00E+00 1.00
+M1 cereals, winter n NA M1 cereals, winter s of M1 cereals, winter n mm M1 cereals, winter s js M1 cereals, winter n NA M1 cereals, winter s of M1 cereals, winter n mm M1 cereals, winter s js 250.00 100.00 100.00 50.00 100.00 100.00 0.00E+00 50.00 1000.00 1.00 0.00E+00 1.00 -99.00 -99.00 -99.00 -99.00 0.00E+00 1.00
diff --git a/docs/reference/read.TOXSWA_cwa.html b/docs/reference/read.TOXSWA_cwa.html
index 25e7dd7..25452c5 100644
--- a/docs/reference/read.TOXSWA_cwa.html
+++ b/docs/reference/read.TOXSWA_cwa.html
@@ -123,7 +123,7 @@ maximum time weighted average concentrations and areas under the curve.
thresholds
- Numeric vector of threshold concentrations in /L for
+
Numeric vector of threshold concentrations in µg/L for
generating event statistics.
diff --git a/man/TOXSWA_cwa.Rd b/man/TOXSWA_cwa.Rd
index e417094..3152c6e 100644
--- a/man/TOXSWA_cwa.Rd
+++ b/man/TOXSWA_cwa.Rd
@@ -26,7 +26,7 @@ Usually, an instance of this class will be generated by \code{\link{read.TOXSWA_
\item{\code{events}}{List of dataframes holding the event statistics for each threshold.}
\item{\code{windows}}{Matrix of maximum time weighted average concentrations (TWAC_max)
-and areas under the curve in \u00B5g/day * h (AUC_max_h) or \u00B5g/day * d (AUC_max_d)
+and areas under the curve in µg/day * h (AUC_max_h) or µg/day * d (AUC_max_d)
for the requested moving window sizes in days.}
}}
@@ -35,7 +35,7 @@ for the requested moving window sizes in days.}
\describe{
\item{\code{get_events(threshold, total = FALSE)}}{
Populate a datataframe with event information for the specified threshold value
- in \u00B5g/L. If \code{total = TRUE}, the total concentration including the amount
+ in µg/L. If \code{total = TRUE}, the total concentration including the amount
adsorbed to suspended matter will be used. The resulting dataframe is stored in the
\code{events} field of the object.
}
diff --git a/man/perc_runoff_reduction_exposit.Rd b/man/perc_runoff_reduction_exposit.Rd
index 51b067d..bc93b29 100644
--- a/man/perc_runoff_reduction_exposit.Rd
+++ b/man/perc_runoff_reduction_exposit.Rd
@@ -3,7 +3,6 @@
\docType{data}
\name{perc_runoff_reduction_exposit}
\alias{perc_runoff_reduction_exposit}
-\alias{buffers}
\title{Runoff reduction percentages as used in Exposit}
\format{A named list of data frames with reduction percentage values for the
dissolved fraction and the fraction bound to eroding particles, with
@@ -18,7 +17,7 @@ Excel 3.01 spreadsheet available from
\url{https://www.bvl.bund.de/DE/04_Pflanzenschutzmittel/03_Antragsteller/04_Zulassungsverfahren/07_Naturhaushalt/psm_naturhaush_node.html#doc1400590bodyText3}
}
\usage{
-buffers
+perc_runoff_reduction_exposit
}
\description{
A table of the runoff reduction percentages used in Exposit 3 for different vegetated buffer widths
diff --git a/man/read.TOXSWA_cwa.Rd b/man/read.TOXSWA_cwa.Rd
index 28479f2..2541c9b 100644
--- a/man/read.TOXSWA_cwa.Rd
+++ b/man/read.TOXSWA_cwa.Rd
@@ -30,7 +30,7 @@ files. For .cwa files, the total concentration is always read as well.}
\item{windows}{Numeric vector of width of moving windows in days, for calculating
maximum time weighted average concentrations and areas under the curve.}
-\item{thresholds}{Numeric vector of threshold concentrations in \u00B5g/L for
+\item{thresholds}{Numeric vector of threshold concentrations in µg/L for
generating event statistics.}
}
\value{
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