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-rw-r--r--R/PEC_soil.R3
-rw-r--r--R/PEC_sw_drainage_UK.R36
-rw-r--r--R/PEC_sw_drift.R75
-rw-r--r--R/PEC_sw_exposit.R (renamed from R/PEC_sw_exposit_runoff.R)91
-rw-r--r--R/PEC_sw_sed.R22
-rw-r--r--R/endpoint.R2
-rw-r--r--R/twa.R7
7 files changed, 156 insertions, 80 deletions
diff --git a/R/PEC_soil.R b/R/PEC_soil.R
index ac551a7..d6356b9 100644
--- a/R/PEC_soil.R
+++ b/R/PEC_soil.R
@@ -68,7 +68,8 @@ if(getRversion() >= '2.15.1') utils::globalVariables(c("destination", "study_typ
#' as Kom here
#' @param t_avg Averaging times for time weighted average concentrations
#' @param t_act Time series for actual concentrations
-#' @param scenarios If this is 'default', the DT50 will be used without correction
+#' @param scenarios If this is 'default', a soil bulk density of 1.5 kg/L will
+#' be used. The DT50 will be used without correction
#' and soil properties as specified in the REACH guidance (R.16, Table
#' R.16-9) are used for porewater PEC calculations. If this is "EFSA_2015",
#' the DT50 is taken to be a modelling half-life at 20°C and pF2 (for when
diff --git a/R/PEC_sw_drainage_UK.R b/R/PEC_sw_drainage_UK.R
index d773f40..4b3111e 100644
--- a/R/PEC_sw_drainage_UK.R
+++ b/R/PEC_sw_drainage_UK.R
@@ -1,7 +1,8 @@
#' Calculate initial predicted environmental concentrations in surface water due to drainage using the UK method
#'
#' This implements the method specified in the UK data requirements handbook and was checked against the spreadsheet
-#' published on the CRC website
+#' published on the CRC website. Degradation before the start of the drainage period is taken into account if
+#' `latest_application` is specified and the degradation parameters are given either as a `soil_DT50` or a `model`.
#'
#' @param rate Application rate in g/ha
#' @param interception The fraction of the application rate that does not reach the soil
@@ -24,6 +25,9 @@
#' @author Johannes Ranke
#' @examples
#' PEC_sw_drainage_UK(150, Koc = 100)
+#' PEC_sw_drainage_UK(60, interception = 0.5, Koc = 550,
+#' latest_application = "01 July", soil_DT50 = 200)
+
PEC_sw_drainage_UK <- function(rate, interception = 0, Koc,
latest_application = NULL, soil_DT50 = NULL,
model = NULL, model_parms = NULL)
@@ -34,20 +38,26 @@ PEC_sw_drainage_UK <- function(rate, interception = 0, Koc,
if (!missing(latest_application)) {
lct <- Sys.getlocale("LC_TIME")
tmp <- Sys.setlocale("LC_TIME", "C")
- latest <- as.Date(paste(latest_application, "1999"), "%d %b %Y")
+ if (latest_application == "29 February") {
+ ref_year <- 2000
+ } else { ref_year <- 1999}
+ latest <- as.Date(paste(latest_application, ref_year), "%d %b %Y")
+ if (is.na(latest)) stop("Please specify the latest application in the format '%d %b', e.g. '01 July'")
tmp <- Sys.setlocale("LC_TIME", lct)
- degradation_time <- as.numeric(difftime(as.Date("1999-10-01"), units = "days", latest))
- if (!missing(soil_DT50)) {
- k = log(2)/soil_DT50
- as.Date(paste(latest_application, "1999"), "%d %B %Y")
+ degradation_time <- as.numeric(difftime(as.Date(paste0(ref_year,"-10-01")), units = "days", latest))
+ if (degradation_time > 0) {
+ if (!missing(soil_DT50)) {
+ k = log(2)/soil_DT50
+ as.Date(paste(latest_application, "1999"), "%d %B %Y")
- amount_available <- amount_available * exp(-k * degradation_time)
- if (!missing(model)) stop("You already supplied a soil_DT50 value, implying SFO kinetics")
- }
- if (!missing(model)) {
- fraction_left <- pfm_degradation(model, parms = model_parms,
- times = degradation_time)[1, "parent"]
- amount_available <- fraction_left * amount_available
+ amount_available <- amount_available * exp(-k * degradation_time)
+ if (!missing(model)) stop("You already supplied a soil_DT50 value, implying SFO kinetics")
+ }
+ if (!missing(model)) {
+ fraction_left <- pfm_degradation(model, parms = model_parms,
+ times = degradation_time)[1, "parent"]
+ amount_available <- fraction_left * amount_available
+ }
}
}
diff --git a/R/PEC_sw_drift.R b/R/PEC_sw_drift.R
index 22aa012..5c7fff4 100644
--- a/R/PEC_sw_drift.R
+++ b/R/PEC_sw_drift.R
@@ -4,9 +4,16 @@
#' concentration in surface water based on complete, instantaneous mixing
#' with input via spray drift.
#'
+#' It is recommened to specify the arguments `rate`, `water_depth` and
+#' `water_width` using [units::units] from the `units` package.
+#'
#' @inheritParams drift_percentages_rautmann
+#' @importFrom units as_units set_units
#' @seealso [drift_parameters_focus], [drift_percentages_rautmann]
-#' @param rate Application rate in units specified below
+#' @param rate Application rate in units specified below, or with units defined via the
+#' `units` package.
+#' @param rate_units Defaults to g/ha. For backwards compatibility, only used
+#' if the specified rate does not have [units::units]].
#' @param drift_percentages Percentage drift values for which to calculate PECsw.
#' Overrides 'drift_data' and 'distances' if not NULL.
#' @param drift_data Source of drift percentage data. If 'JKI', the [drift_data_JKI]
@@ -14,9 +21,8 @@
#' either in the original form or integrated over the width of the water body, depending
#' on the 'formula' argument.
#' @param crop_group_JKI When using the 'JKI' drift data, one of the German names
-#' as used in [drift_parameters_focus].
+#' as used in [drift_data_JKI]. Will only be used if drift_data is 'JKI'.
#' @param water_depth Depth of the water body in cm
-#' @param rate_units Defaults to g/ha
#' @param PEC_units Requested units for the calculated PEC. Only µg/L currently supported
#' @param water_width Width of the water body in cm
#' @param side_angle The angle of the side of the water relative to the bottom which
@@ -34,13 +40,13 @@
#' PEC_sw_drift(100, distances = c(1, 3, 5, 6, 10, 20, 50, 100), drift_data = "RF")
#'
#' # 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")
+#' PEC_sw_drift(100, distances = c(1, 3, 5, 6, 10, 20, 50, 100), drift_data = "RF",
+#' crop_group_RF = "aerial")
#'
#' # 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))
#'
-#' # The influence of assuming a 45° angle of the sides of the waterbody and the width of the
+#' # The influence of assuming a 45° angle of the sides of the waterbody and the width of the
#' # waterbody can be illustrated
#' PEC_sw_drift(100)
#' PEC_sw_drift(100, drift_data = "RF")
@@ -49,40 +55,51 @@
#' PEC_sw_drift(100, drift_data = "RF", formula = "FOCUS", side_angle = 45, water_width = 200)
PEC_sw_drift <- function(rate,
applications = 1,
- water_depth = 30,
+ water_depth = as_units("30 cm"),
drift_percentages = NULL,
drift_data = c("JKI", "RF"),
- crop_group_JKI = c("Ackerbau",
+ 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",
+ crop_group_RF = c("arable", "hops", "vines, late", "vines, early",
"fruit, late", "fruit, early", "aerial"),
distances = c(1, 5, 10, 20),
formula = c("Rautmann", "FOCUS"),
- water_width = 100,
+ water_width = as_units("100 cm"),
side_angle = 90,
rate_units = "g/ha",
PEC_units = "\u00B5g/L")
{
rate_units <- match.arg(rate_units)
PEC_units <- match.arg(PEC_units)
+ # Set default units if not specified
+ if (!inherits(rate, "units")) rate <- set_units(rate, rate_units, mode = "symbolic")
+ if (!inherits(water_width, "units")) water_width <- set_units(water_width, "cm")
+ if (!inherits(water_depth, "units")) water_depth <- set_units(water_depth, "cm")
drift_data <- match.arg(drift_data)
crop_group_JKI <- match.arg(crop_group_JKI)
- crop_group_focus <- match.arg(crop_group_focus)
+ crop_group_RF <- match.arg(crop_group_RF)
+ if (drift_data == "JKI" & crop_group_RF != "arable") {
+ stop("Specifying crop_group_RF only makes sense if 'RF' is used for 'drift_data'")
+ }
+ if (drift_data == "RF" & crop_group_JKI != "Ackerbau") {
+ stop("Specifying crop_group_JKI only makes sense if 'JKI' is used for 'drift_data'")
+ }
formula <- match.arg(formula)
if (side_angle < 0 | side_angle > 90) stop("The side anglemust be between 0 and 90 degrees")
- mean_water_width <- if (side_angle == 90) water_width
+ mean_water_width <- if (side_angle == 90) water_width # Mean water width over waterbody depth
else water_width - (water_depth / tanpi(side_angle/180))
- water_volume <- 100 * mean_water_width * (water_depth/100) * 1000 # in L (for 1 ha)
- PEC_sw_overspray <- rate * 1e6 / water_volume # in µg/L
+ if (as.numeric(mean_water_width) < 0) stop("Undefined geometry")
+ relative_mean_water_width <- mean_water_width / water_width # Always <= 1
+ PEC_sw_overspray <- set_units(rate / (relative_mean_water_width * water_depth), PEC_units, mode = "symbolic")
dist_index <- as.character(distances)
if (is.null(drift_percentages)) {
drift_percentages <- switch(drift_data,
JKI = pfm::drift_data_JKI[[applications]][dist_index, crop_group_JKI],
- RF = drift_percentages_rautmann(distances, applications,
+ RF = drift_percentages_rautmann(distances, applications,
formula = formula,
- crop_group_focus, widths = water_width/100)
+ crop_group_RF, widths = as.numeric(set_units(water_width, "m")))
)
names(drift_percentages) <- paste(dist_index, "m")
} else {
@@ -101,14 +118,14 @@ PEC_sw_drift <- function(rate,
#' @param distances The distances in m for which to get PEC values
#' @param widths The widths of the water bodies (only used in the FOCUS formula)
#' @param applications Number of applications for selection of drift percentile
-#' @param crop_group_focus One of the crop groups as used in [drift_parameters_focus]
+#' @param crop_group_RF One of the crop groups as used in [drift_parameters_focus]
#' @seealso [drift_parameters_focus], [PEC_sw_drift]
#' @references FOCUS (2014) Generic guidance for Surface Water Scenarios (version 1.4).
#' FOrum for the Co-ordination of pesticde fate models and their USe.
#' <http://esdac.jrc.ec.europa.eu/public_path/projects_data/focus/sw/docs/Generic%20FOCUS_SWS_vc1.4.pdf>
#' @export
#' @examples
-#' # Compare JKI data with Rautmann formula
+#' # Compare JKI data with Rautmann and FOCUS formulas for arable crops (default)
#' # One application on field crops, for 1 m, 3 m and 5 m distance
#' drift_data_JKI[[1]][as.character(c(1, 3, 5)), "Ackerbau"]
#' drift_percentages_rautmann(c(1, 3, 5))
@@ -116,31 +133,31 @@ PEC_sw_drift <- function(rate,
#'
#' # One application to early or late fruit crops
#' drift_data_JKI[[1]][as.character(c(3, 5, 20, 50)), "Obstbau frueh"]
-#' drift_percentages_rautmann(c(3, 5, 20, 50), crop_group = "fruit, early")
-#' drift_percentages_rautmann(c(3, 5, 20, 50), crop_group = "fruit, early",
+#' drift_percentages_rautmann(c(3, 5, 20, 50), crop_group_RF = "fruit, early")
+#' drift_percentages_rautmann(c(3, 5, 20, 50), crop_group_RF = "fruit, early",
#' formula = "FOCUS")
#' drift_data_JKI[[1]][as.character(c(3, 5, 20, 50)), "Obstbau spaet"]
-#' drift_percentages_rautmann(c(3, 5, 20, 50), crop_group = "fruit, late")
-#' drift_percentages_rautmann(c(3, 5, 20, 50), crop_group = "fruit, late",
+#' drift_percentages_rautmann(c(3, 5, 20, 50), crop_group_RF = "fruit, late")
+#' drift_percentages_rautmann(c(3, 5, 20, 50), crop_group_RF = "fruit, late",
#' formula = "FOCUS")
-#'
+#'
#' # We get a continuum if the waterbody covers the hinge distance
#' # (11.4 m for 1 early app to fruit)
#' x <- seq(3, 30, by = 0.1)
-#' d <- drift_percentages_rautmann(x, crop_group = "fruit, early", formula = "FOCUS")
+#' d <- drift_percentages_rautmann(x, crop_group_RF = "fruit, early", formula = "FOCUS")
#' plot(x, d, type = "l",
-#' xlab = "Distance of near edge [m]",
+#' xlab = "Distance of near edge [m]",
#' ylab = "Mean drift percentage over waterbody width",
#' main = "One application to fruit, early")
#' abline(v = 11.4, lty = 2)
-drift_percentages_rautmann <- function(distances, applications = 1,
- crop_group_focus = c("arable", "hops", "vines, late", "vines, early", "fruit, late",
+drift_percentages_rautmann <- function(distances, applications = 1,
+ crop_group_RF = c("arable", "hops", "vines, late", "vines, early", "fruit, late",
"fruit, early", "aerial"),
formula = c("Rautmann", "FOCUS"),
widths = 1
)
{
- cg <- match.arg(crop_group_focus)
+ cg <- match.arg(crop_group_RF)
if (!applications %in% 1:8) stop("Only 1 to 8 applications are supported")
formula <- match.arg(formula)
@@ -161,7 +178,7 @@ drift_percentages_rautmann <- function(distances, applications = 1,
ifelse(z2 < hinge,
# farther edge closer than hinge distance
A/(widths * (B + 1)) * (z2^(B + 1) - z1^(B + 1)),
- ifelse(z1 < hinge,
+ ifelse(z1 < hinge,
# hinge distance in waterbody (between z1 and z2)
(A/(B + 1) * (H^(B + 1) - z1^(B + 1)) + C/(D + 1) * (z2^(D + 1) - H^(D + 1)))/widths,
# z1 >= hinge, i.e. near edge farther than hinge distance
diff --git a/R/PEC_sw_exposit_runoff.R b/R/PEC_sw_exposit.R
index 8b89cd9..282a1ac 100644
--- a/R/PEC_sw_exposit_runoff.R
+++ b/R/PEC_sw_exposit.R
@@ -47,6 +47,11 @@
#' This is a reimplementation of the calculation described in the Exposit 3.02 spreadsheet file,
#' in the worksheet "Konzept Runoff".
#'
+#' It is recommened to specify the arguments `rate`, `Koc`, `DT50`, `t_runoff`, `V_ditch` and `V_event`
+#' using [units::units] from the `units` package.
+#'
+#' @importFrom units as_units set_units drop_units
+#' @importFrom dplyr across mutate
#' @param rate The application rate in g/ha
#' @param interception The fraction intercepted by the crop
#' @param Koc The sorption coefficient to soil organic carbon
@@ -74,43 +79,61 @@
#' @examples
#' PEC_sw_exposit_runoff(500, Koc = 150)
#' PEC_sw_exposit_runoff(600, Koc = 10000, DT50 = 195, exposit = "3.01a")
-PEC_sw_exposit_runoff <- function(rate, interception = 0, Koc, DT50 = Inf, t_runoff = 3,
+PEC_sw_exposit_runoff <- function(rate, interception = 0, Koc,
+ DT50 = set_units(Inf, "d"),
+ t_runoff = set_units(3, "days"),
exposit_reduction_version = c("3.02", "3.01a", "3.01a2", "2.0"),
- V_ditch = 30, V_event = 100, dilution = 2)
+ V_ditch = set_units(30, "m3"), V_event = set_units(100, "m3"), dilution = 2)
{
+ # Set default units if not specified
+ if (!inherits(rate, "units")) rate <- set_units(rate, "g/ha")
+ if (!inherits(Koc, "units")) Koc <- set_units(Koc, "L/kg")
+ if (!inherits(DT50, "units")) DT50 <- set_units(DT50, "d")
+ if (!inherits(t_runoff, "units")) t_runoff <- set_units(t_runoff, "d")
+ if (!inherits(V_ditch, "units")) V_ditch <- set_units(V_ditch, "m3")
+ if (!inherits(V_event, "units")) V_event <- set_units(V_event, "m3")
+
k_deg <- log(2)/DT50
- input <- rate * (1 - interception) * 1 * exp(-k_deg * t_runoff) # assumes 1 ha treated area
+
+ # The input is calculated for an area of 1 ha
+ input <- rate * as_units(1, "ha") * (1 - interception) * exp(as.numeric(-k_deg * t_runoff))
+ input_units <- units(input)
+ input_numeric <- drop_units(input)
if (length(Koc) > 1) stop("Only one compound at a time supported")
exposit_reduction_version <- match.arg(exposit_reduction_version)
- red_water <- pfm::perc_runoff_reduction_exposit[[exposit_reduction_version]]["dissolved"] / 100
- red_bound <- pfm::perc_runoff_reduction_exposit[[exposit_reduction_version]]["bound"] / 100
reduction_runoff <- pfm::perc_runoff_reduction_exposit[[exposit_reduction_version]] / 100
+
transfer_runoff <- 1 - reduction_runoff
- V_runoff <- V_event * (1 - reduction_runoff[["dissolved"]]) # m3
+ V_runoff <- V_event * (1 - reduction_runoff[["dissolved"]])
V_flowing_ditch_runoff <- dilution * (V_ditch + V_runoff)
-
+
f_runoff_exposit <- function(Koc) {
- Koc_breaks <- c(pfm::perc_runoff_exposit$Koc_lower_bound, Inf)
+ Koc_breaks <- c(pfm::perc_runoff_exposit$Koc_lower_bound, set_units(Inf, "L/kg"))
Koc_classes <- as.character(cut(Koc, Koc_breaks, labels = rownames(pfm::perc_runoff_exposit)))
perc_runoff <- pfm::perc_runoff_exposit[Koc_classes, c("dissolved", "bound")]
if (identical(Koc, 0)) perc_runoff <- c(dissolved = 0, bound = 0)
return(unlist(perc_runoff) / 100)
}
f_runoff <- f_runoff_exposit(Koc)
- runoff_dissolved <- input * f_runoff["dissolved"] * transfer_runoff["dissolved"]
- runoff_bound <- input * f_runoff["bound"] * transfer_runoff["bound"]
- runoff_input <- cbind(runoff_dissolved, runoff_bound)
- runoff_input$total <- runoff_input$dissolved + runoff_input$bound
- PEC_sw_runoff <- 1000 * runoff_input / V_flowing_ditch_runoff
+ runoff_dissolved <- input_numeric * f_runoff["dissolved"] * transfer_runoff[, "dissolved"]
+ runoff_bound <- input_numeric * f_runoff["bound"] * transfer_runoff[, "bound"]
+ runoff_input <- cbind(dissolved = runoff_dissolved, bound = runoff_bound,
+ total = runoff_dissolved + runoff_bound)
+ rownames(runoff_input) <- rownames(reduction_runoff)
+ units(runoff_input) <- input_units
+
+ dn <- dimnames(runoff_input)
+ PEC_sw_runoff <- set_units(runoff_input / V_flowing_ditch_runoff, "\u00B5g/L")
+ dimnames(PEC_sw_runoff) <- dn
result <- list(
perc_runoff = 100 * f_runoff,
- runoff = runoff_input,
- PEC_sw_runoff = PEC_sw_runoff)
+ runoff = as.data.frame(runoff_input),
+ PEC_sw_runoff = as.data.frame(PEC_sw_runoff))
return(result)
}
@@ -123,6 +146,9 @@ PEC_sw_exposit_runoff <- function(rate, interception = 0, Koc, DT50 = Inf, t_run
#' with modest to high mobility (groups 2, 3 and 4). In this implementation,
#' the group is derived only from the Koc, if not given explicitly. For
#' details, see the discussion of the function arguments below.
+
+#' It is recommened to specify the arguments `rate`, `Koc`, `DT50`, `t_drainage`,
+#' `V_ditch` and `V_drainage` using [units::units] from the `units` package.
#'
#' @param rate The application rate in g/ha
#' @param interception The fraction intercepted by the crop
@@ -137,10 +163,10 @@ PEC_sw_exposit_runoff <- function(rate, interception = 0, Koc, DT50 = Inf, t_run
#' @param dilution The dilution factor
#' @return A list containing the following components
#' \describe{
-#' \item{perc_runoff}{The runoff percentages for dissolved and bound substance}
-#' \item{runoff}{A matrix containing dissolved and bound input for the different distances}
-#' \item{PEC_sw_runoff}{A matrix containing PEC values for dissolved and bound substance
-#' for the different distances. If the rate was given in g/ha, the PECsw are in microg/L.}
+#' \item{perc_drainage_total}{Gesamtaustrag (total fraction of the residue drained)}
+#' \item{perc_peak}{Stoßbelastung (fraction drained at event)}
+#' \item{PEC_sw_drainage}{A matrix containing PEC values for the spring and autumn
+#' scenarios. If the rate was given in g/ha, the PECsw are in microg/L.}
#' }
#' @export
#' @source Excel 3.02 spreadsheet available from
@@ -148,18 +174,31 @@ PEC_sw_exposit_runoff <- function(rate, interception = 0, Koc, DT50 = Inf, t_run
#' @seealso \code{\link{perc_runoff_exposit}} for runoff loss percentages and \code{\link{perc_runoff_reduction_exposit}} for runoff reduction percentages used
#' @examples
#' PEC_sw_exposit_drainage(500, Koc = 150)
-PEC_sw_exposit_drainage <- function(rate, interception = 0, Koc = NA, mobility = c(NA, "low", "high"), DT50 = Inf, t_drainage = 3,
- V_ditch = 30, V_drainage = c(spring = 10, autumn = 100), dilution = 2)
+PEC_sw_exposit_drainage <- function(rate, interception = 0,
+ Koc = NA, mobility = c(NA, "low", "high"),
+ DT50 = set_units(Inf, "d"),
+ t_drainage = set_units(3, "days"),
+ V_ditch = set_units(30, "m3"),
+ V_drainage = set_units(c(spring = 10, autumn = 100), "m3"), dilution = 2)
{
- # Rückstand zum Zeitpunkt des Niederschlagsereignisses (residue at the time of the drainage event)
+ # Set default units if not specified
+ if (!inherits(rate, "units")) rate <- set_units(rate, "g/ha")
+ if (!inherits(Koc, "units")) Koc <- set_units(Koc, "L/kg")
+ if (!inherits(DT50, "units")) DT50 <- set_units(DT50, "d")
+ if (!inherits(t_drainage, "units")) t_runoff <- set_units(t_drainage, "d")
+ if (!inherits(V_ditch, "units")) V_ditch <- set_units(V_ditch, "m3")
+ if (!inherits(V_drainage, "units")) V_event <- set_units(V_drainage, "m3")
+
k_deg <- log(2)/DT50
- residue <- rate * (1 - interception) * 1 * exp(-k_deg * t_drainage) # assumes 1 ha treated area
+
+ # Total residue at the time of the drainage event, assumes 1 ha treated area
+ residue <- rate * as_units(1, "ha") * (1 - interception) * exp(as.numeric(-k_deg * t_drainage))
mobility <- match.arg(mobility)
if (is.na(mobility)) {
if (is.na(Koc)) stop("Koc is needed if the mobility is not specified")
else {
- if (Koc > 550) mobility = "low"
+ if (Koc > set_units(550, "L/kg")) mobility = "low"
else mobility = "high"
}
}
@@ -178,11 +217,11 @@ PEC_sw_exposit_drainage <- function(rate, interception = 0, Koc = NA, mobility =
f_peak = c(spring = 0.125, autumn = 0.25) # Stoßbelastung (fraction drained at event)
- PEC_sw_drainage <- 1000 * residue * f_drainage_total * f_peak / V_flowing_ditch_drainage
+ PEC_sw_drainage <- residue * f_drainage_total * f_peak / V_flowing_ditch_drainage
result <- list(
perc_drainage_total = 100 * f_drainage_total,
perc_peak = 100 * f_peak,
- PEC_sw_drainage = PEC_sw_drainage)
+ PEC_sw_drainage = set_units(PEC_sw_drainage, "\u00B5g/L"))
return(result)
}
diff --git a/R/PEC_sw_sed.R b/R/PEC_sw_sed.R
index 2865ab7..28e12d8 100644
--- a/R/PEC_sw_sed.R
+++ b/R/PEC_sw_sed.R
@@ -10,24 +10,30 @@
#' @param method The method used for the calculation
#' @param sediment_depth Depth of the sediment layer
#' @param water_depth Depth of the water body in cm
-#' @param sediment_density The density of the sediment in L/kg (equivalent to
+#' @param sediment_density The density of the sediment in kg/L (equivalent to
#' g/cm3)
#' @param PEC_sed_units The units of the estimated sediment PEC value
#' @return The predicted concentration in sediment
#' @export
#' @author Johannes Ranke
#' @examples
+#' library(pfm)
+#' library(units)
#' PEC_sw_sed(PEC_sw_drift(100, distances = 1), percentage = 50)
PEC_sw_sed <- function(PEC_sw, percentage = 100, method = "percentage",
- sediment_depth = 5, water_depth = 30,
- sediment_density = 1.3,
+ sediment_depth = set_units(5, "cm"),
+ water_depth = set_units(30, "cm"),
+ sediment_density = set_units(1.3, "kg/L"),
PEC_sed_units = c("\u00B5g/kg", "mg/kg"))
{
- method = match.arg(method)
- PEC_sed_units = match.arg(PEC_sed_units)
+ if (!inherits(PEC_sw, "units")) PEC_sw <- set_units(PEC_sw, "\u00B5g/L")
+ if (!inherits(sediment_depth, "units")) PEC_sw <- set_units(sediment_depth, "cm")
+ if (!inherits(water_depth, "units")) PEC_sw <- set_units(water_depth, "cm")
+ if (!inherits(sediment_density, "units")) PEC_sw <- set_units(sediment_density, "cm")
+ method <- match.arg(method)
+ PEC_sed_units <- match.arg(PEC_sed_units)
if (method == "percentage") {
- PEC_sed = PEC_sw * (percentage/100) * (water_depth / sediment_depth) * (1 / sediment_density)
- if (PEC_sed_units == "mg/kg") PEC_sed <- PEC_sed / 1000
+ PEC_sed <- PEC_sw * (percentage/100) * as.numeric((water_depth / sediment_depth)) * (1 / sediment_density)
}
- return(PEC_sed)
+ return(set_units(PEC_sed, PEC_sed_units, mode = "symbolic"))
}
diff --git a/R/endpoint.R b/R/endpoint.R
index 08856f9..5415d84 100644
--- a/R/endpoint.R
+++ b/R/endpoint.R
@@ -41,7 +41,7 @@ endpoint <- function(chent,
signif = 3)
{
if (!is(chent, "chent")) {
- stop("Please supply a chent object as created using the package 'chents' available from jrwb.de")
+ stop("Please supply a chent object as created using the package 'chents' available from github")
}
ep_list <- chent$chyaml[[medium]][[type]]
if (!is.na(lab_field[1])) {
diff --git a/R/twa.R b/R/twa.R
index 886351d..2018dfa 100644
--- a/R/twa.R
+++ b/R/twa.R
@@ -131,6 +131,7 @@ one_box.mkinfit <- function(x, ini = "model", ..., t_end = 100, res = 0.01) {
#' fit_2 <- mkinfit(m_2, FOCUS_2006_D, quiet = TRUE)
#' pred_2 <- one_box(fit_2, ini = 1)
#' pred_2_saw <- sawtooth(pred_2, 2, 7)
+#' plot(pred_2_saw)
#' plot(pred_2_saw, max_twa = 21, max_twa_var = "m1")
plot.one_box <- function(x,
xlim = range(time(x)), ylim = c(0, max(x)),
@@ -148,7 +149,9 @@ plot.one_box <- function(x,
x_twa$window_end[max_twa_var], value, col = "grey")
text(x_twa$window_end[max_twa_var], value, paste("Maximum:", signif(value, 3)), pos = 4)
# Plot a second time to cover the grey rectangle
- matlines(time(x), as.matrix(x), lty = 1:length(obs_vars), col = 1:length(obs_vars))
+ plot.ts(x, plot.type = "single", xlab = xlab, ylab = ylab,
+ lty = 1:length(obs_vars), col = 1:length(obs_vars),
+ las = 1, xlim = xlim, ylim = ylim)
}
}
@@ -229,7 +232,7 @@ twa.one_box <- function(x, window = 21)
resolution = 1/frequency(x)
n_filter = window/resolution
- result = filter(x, rep(1/n_filter, n_filter), method = "convolution", sides = 1)
+ result = stats::filter(x, rep(1/n_filter, n_filter), method = "convolution", sides = 1)
class(result) = c("one_box", "ts")
dimnames(result) <- dimnames(x)
return(result)

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