diff options
Diffstat (limited to 'R')
| -rw-r--r-- | R/PEC_soil.R | 213 | ||||
| -rw-r--r-- | R/PEC_sw_exposit_runoff.R | 1 | ||||
| -rw-r--r-- | R/soil_scenario_data_EFSA_2015.R | 8 | ||||
| -rw-r--r-- | R/soil_scenario_data_EFSA_2017.R | 20 |
4 files changed, 192 insertions, 50 deletions
diff --git a/R/PEC_soil.R b/R/PEC_soil.R index 15ccc90..1227f6a 100644 --- a/R/PEC_soil.R +++ b/R/PEC_soil.R @@ -17,23 +17,34 @@ # Register global variables if(getRversion() >= '2.15.1') utils::globalVariables(c("destination", "study_type", "TP_identifier", - "soil_scenario_data_EFSA_2015")) + "soil_scenario_data_EFSA_2015", + "soil_scenario_data_EFSA_2017", "bottom")) #' Calculate predicted environmental concentrations in soil #' #' This is a basic calculation of a contaminant concentration in bulk soil -#' based on complete, instantaneous mixing. If an interval is given, an +#' based on complete, instantaneous mixing. If an interval is given, an #' attempt is made at calculating a long term maximum concentration using -#' the concepts layed out for example in the PPR panel opinion (EFSA 2012). -#' +#' the concepts layed out in the PPR panel opinion (EFSA PPR panel 2012 +#' and in the EFSA guidance on PEC soil calculations (EFSA, 2015, 2017). +#' #' This assumes that the complete load to soil during the time specified by #' 'interval' (typically 365 days) is dosed at once. As in the PPR panel -#' opinion cited below (PPR panel 2012), only temperature correction using the -#' Arrhenius equation is performed. -#' +#' opinion cited below (EFSA PPR panel 2012), only temperature correction using the +#' Arrhenius equation is performed. +#' #' Total soil and porewater PEC values for the scenarios as defined in the EFSA -#' guidance (2015, p. 13) can easily be calculated. -#' +#' guidance (2017, p. 14/15) can easily be calculated. +#' @note While time weighted average (TWA) concentrations given in the examples +#' from the EFSA guidance from 2015 (p. 80) are be reproduced, this is not +#' true for the TWA concentrations given for the same example in the EFSA guidance +#' from 2017 (p. 92). +#' @note According to the EFSA guidance (EFSA, 2017, p. 43), leaching should be +#' taken into account for the EFSA 2017 scenarios, using the evaluation depth +#' (here mixing depth) as the depth of the layer from which leaching takes +#' place. However, as the amount leaching below the evaluation depth +#' (often 5 cm) will partly be mixed back during tillage, the default in this function +#' is to use the tillage depth for the calculation of the leaching rate. #' @note If temperature information is available in the selected scenarios, as #' e.g. in the EFSA scenarios, the DT50 for groundwater modelling #' (destination 'PECgw') is taken from the chent object, otherwise the DT50 @@ -49,7 +60,17 @@ if(getRversion() >= '2.15.1') utils::globalVariables(c("destination", "study_typ #' @param PEC_units Requested units for the calculated PEC. Only mg/kg currently supported #' @param PEC_pw_units Only mg/L currently supported #' @param tillage_depth Periodic (see interval) deeper mixing in cm -#' @param chent An optional chent object holding substance specific information. Can +#' @param leaching_depth EFSA (2017) uses the mixing depth (ecotoxicological +#' evaluation depth) to calculate leaching for annual crops where tillage +#' takes place. By default, losses from the layer down to the tillage +#' depth are taken into account in this implementation. +#' @param cultivation Does mechanical cultivation in the sense of EFSA (2017) +#' take place, i.e. twice a year to a depth of 5 cm? Ignored for scenarios +#' other than EFSA_2017 +#' @param crop Ignored for scenarios other than EFSA_2017. Only annual crops +#' are supported when these scenarios are used. Only crops with a single cropping +#' cycle per year are currently supported. +#' @param chent An optional chent object holding substance specific information. Can #' also be a name for the substance as a character string #' @param DT50 If specified, overrides soil DT50 endpoints from a chent object #' If DT50 is not specified here and not available from the chent object, zero @@ -65,6 +86,8 @@ if(getRversion() >= '2.15.1') utils::globalVariables(c("destination", "study_typ #' 'chents' is specified, the DegT50 with destination 'PECgw' will be used), #' and corrected using an Arrhenius activation energy of 65.4 kJ/mol. Also #' model and scenario adjustment factors from the EFSA guidance are used. +#' @param leaching Should leaching be taken into account? The default is FALSE, +#' except when the EFSA_2017 scenarios are used. #' @param porewater Should equilibrium porewater concentrations be estimated #' based on Kom and the organic carbon fraction of the soil instead of total #' soil concentrations? Based on equation (7) given in the PPR panel opinion @@ -76,23 +99,38 @@ if(getRversion() >= '2.15.1') utils::globalVariables(c("destination", "study_typ #' selection and scenario parameterisation for predicting environmental #' concentrations of plant protection products in soil. \emph{EFSA Journal} #' \bold{10}(2) 2562, doi:10.2903/j.efsa.2012.2562 -#' +#' +#' EFSA (European Food Safety Authority) 2017) EFSA guidance document for +#' predicting environmental concentrations of active substances of plant +#' protection products and transformation products of these active substances +#' in soil. \emph{EFSA Journal} \bold{15}(10) 4982 +#' doi:10.2903/j.efsa.2017.4982 +#' #' EFSA (European Food Safety Authority) (2015) EFSA guidance document for #' predicting environmental concentrations of active substances of plant #' protection products and transformation products of these active substances #' in soil. \emph{EFSA Journal} \bold{13}(4) 4093 #' doi:10.2903/j.efsa.2015.4093 +#' #' @author Johannes Ranke #' @export #' @examples #' PEC_soil(100, interception = 0.25) #' +#' # This is example 1 starting at p. 92 of the EFSA guidance (2017) +#' # Note that TWA concentrations differ from the ones given in the guidance +#' # for an unknown reason (the values from EFSA (2015) can be reproduced). +#' PEC_soil(1000, interval = 365, DT50 = 250, t_avg = c(0, 21), +#' Kom = 1000, scenarios = "EFSA_2017") +#' PEC_soil(1000, interval = 365, DT50 = 250, t_av = c(0, 21), +#' Kom = 1000, scenarios = "EFSA_2017", porewater = TRUE) +#' #' # This is example 1 starting at p. 79 of the EFSA guidance (2015) #' PEC_soil(1000, interval = 365, DT50 = 250, t_avg = c(0, 21), #' scenarios = "EFSA_2015") #' PEC_soil(1000, interval = 365, DT50 = 250, t_av = c(0, 21), #' Kom = 1000, scenarios = "EFSA_2015", porewater = TRUE) -#' +#' #' # The following is from example 4 starting at p. 85 of the EFSA guidance (2015) #' # Metabolite M2 #' # Calculate total and porewater soil concentrations for tier 1 scenarios @@ -103,34 +141,97 @@ if(getRversion() >= '2.15.1') utils::globalVariables(c("destination", "study_typ #' Kom = 100, scenarios = "EFSA_2015", porewater = TRUE) PEC_soil <- function(rate, rate_units = "g/ha", interception = 0, - mixing_depth = 5, + mixing_depth = 5, PEC_units = "mg/kg", PEC_pw_units = "mg/L", interval = NA, n_periods = Inf, - tillage_depth = 20, - chent = NA, - DT50 = NA, + tillage_depth = 20, + leaching_depth = tillage_depth, + crop = "annual", + cultivation = FALSE, + chent = NA, + DT50 = NA, Koc = NA, Kom = Koc / 1.724, t_avg = 0, - scenarios = c("default", "EFSA_2015"), + scenarios = c("default", "EFSA_2017", "EFSA_2015"), + leaching = scenarios == "EFSA_2017", porewater = FALSE) { + # Comments with equation numbers in parentheses refer to + # the numbering in the EFSA guidance from 2017, appendix A rate_to_soil = (1 - interception) * rate rate_units = match.arg(rate_units) PEC_units = match.arg(PEC_units) scenarios = match.arg(scenarios) - sce <- switch(scenarios, + if (scenarios == "EFSA_2017") { + if (crop != "annual") stop("Only annual crops are currently supported") + if (cultivation) stop("Permanent crops with mechanical cultivation are currently not supported") + } + sce <- switch(scenarios, default = data.frame(rho = 1.5, T_arr = NA, theta_fc = 0.2, f_om = 1.724 * 0.02, f_sce = 1, f_mod = 1, row.names = "default"), - EFSA_2015 = if (porewater) soil_scenario_data_EFSA_2015[4:6, ] - else soil_scenario_data_EFSA_2015[1:3, ] + EFSA_2015 = if (porewater) soil_scenario_data_EFSA_2015[4:6, ] + else soil_scenario_data_EFSA_2015[1:3, ], + EFSA_2017 = if (porewater) soil_scenario_data_EFSA_2017[4:6, ] + else soil_scenario_data_EFSA_2017[1:3, ] ) n_sce = nrow(sce) soil_volume = 100 * 100 * (mixing_depth/100) # in m3 soil_mass = soil_volume * sce$rho * 1000 # in kg + # In EFSA (2017), f_om is depth dependent for permanent crops + # For annual crops, the correction factor is 1 (uniform f_om is + # assumed) + mixing_depth_string <- paste(mixing_depth, "cm") + tillage_depth_string <- paste(tillage_depth, "cm") + if (scenarios == "EFSA_2017" & crop != "annual") { + # Correction factors f_f_om with depth according to EFSA 2017, p. 15 + f_f_om_depth = data.frame( + depth = c("0-5", "5-10", "10-20", "20-30"), + bottom = c(5, 10, 20, 30), + thickness = c(5, 5, 10, 10), + f_f_om_no_cultivation = c(1.95, 1.30, 0.76, 0.62), + f_f_om_cultivation = c(1.50, 1.20, 0.90, 0.75)) + # Averages for the 0-5 cm and 0-20 cm layers + f_f_om_layer = data.frame( + layer = c("0-5", "0-20"), + f_f_om_no_cultivation = c(1.95, (5 * 1.95 + 5 * 1.3 + 10 * 0.76)/20), + f_f_om_cultivation = c(1.50, (5 * 1.5 + 5 * 1.2 + 10 * 0.9)/20)) + # The resulting mean value for 0-20 cm and no cultivation of 1.1925 is + # consistent with the value of 1.19 given in Table B.4 on p. 54 of the + # 2017 EFSA guidance + + f_f_om_average <- function(depth, cultivation) { + rownames(f_f_om_layer) = paste(f_f_om_layer$layer, "cm") + if (depth %in% c(5, 20)) { + if (cultivation) { + return(f_f_om_layer[paste0("0-", depth, " cm"), "f_f_om_cultivation"]) + } else { + return(f_f_om_layer[paste0("0-", depth, " cm"), "f_f_om_no_cultivation"]) + } + } else { + stop("Depths other than 5 and 20 cm are not supported when using EFSA 2017 scenarios for permanent crops") + } + } + + # For the loss via leaching, the equilibrium and therefore the f_om at the + # bottom of the layer is probably most relevant. Unfortunately this is not + # clarified in the guidance. + f_f_om_bottom <- function(depth, cultivation) { + bottom_depth <- depth # rename to avoid confusion when subsetting + if (cultivation) { + f_f_om <- subset(f_f_om_depth, bottom == bottom_depth)$f_f_om_cultivation + } else { + f_f_om <- subset(f_f_om_depth, bottom == bottom_depth)$f_f_om_no_cultivation + } + return(f_f_om) + } + } else { + f_f_om_average <- f_f_om_bottom <- function(depth, cultivation) 1 + } + # The following is C_T,ini from EFSA 2012, p. 22, but potentially with interception > 0 - PEC_soil_ini = rate_to_soil * 1000 / soil_mass # in mg/kg + PEC_soil_ini = rate_to_soil * 1000 / soil_mass # in mg/kg (A1) # Decide which DT50 to take, or set degradation to zero if no DT50 available if (is.na(DT50) & is(chent, "chent")) { @@ -142,26 +243,56 @@ PEC_soil <- function(rate, rate_units = "g/ha", interception = 0, if (length(DT50) > 1) stop("More than one PECsoil DT50 in chent object") if (length(DT50) == 0) DT50 <- Inf } - k = log(2)/DT50 + k_ref = log(2)/DT50 # (A5) # Temperature correction of degradation (accumulation) if (all(is.na(sce$T_arr))) { # No temperature correction f_T = 1 } else { # Temperature correction as in EFSA 2012 p. 23 - f_T = ifelse(sce$T_arr == 0, - 0, - exp(- (65.4 / 0.008314) * (1/(sce$T_arr + 273.15) - 1/293.15))) + f_T = ifelse(sce$T_arr == 0, + 0, # (A4b) + exp(- (65.4 / 0.008314) * (1/(sce$T_arr + 273.15) - 1/293.15))) # (A4a) } - # X is the fraction left after one period (EFSA guidance p. 23) - X = exp(- k * f_T * interval) - + # Define Kom if needed + if (leaching | porewater) { + # If Kom is not specified, try to get K(f)oc + if (is.na(Kom)) { + # If Koc not specified, try to get K(f)oc from chent + if (is.na(Koc) & is(chent, "chent")) { + Koc <- soil_Kfoc(chent) + } else { + stop("No Kom information specified") + } + Kom <- Koc / 1.724 + } + } + + if (leaching) { + leaching_depth_string <- paste(leaching_depth, "cm") + f_q <- c("1 cm" = 0.8, "2.5 cm" = 0.75, "5 cm" = 0.7, "20 cm" = 0.5) # EFSA 2017 p. 54 + if (leaching_depth_string %in% names(f_q)) { + q_mm_year = f_q[leaching_depth_string] * sce$prec # Irrigation at tier 1? I have not found values for Tier 1 + q_dm_day = q_mm_year / (100 * 365) + leaching_depth_dm <- leaching_depth / 10 + + k_leach = q_dm_day/(leaching_depth_dm * (sce$theta_fc + sce$rho * f_f_om_average(leaching_depth, cultivation) * sce$f_om * Kom)) + } else { + stop("Leaching can not be calculated, because f_q for this leaching depth is undefined") + } + } else { + k_leach = 0 + } + + # X is the fraction left after one period (EFSA 2017 guidance p. 23) + X = exp(- (k_ref * f_T + k_leach) * interval) # (A3) + # f_accu is the fraction left after n periods (X + X^2 + ...) - f_accu = 0 + f_accu = 0 if (!is.na(interval)) { if (n_periods == Inf) { - f_accu = X/(1 - X) + f_accu = X/(1 - X) # part of (A2) } else { for (i in 1:n_periods) { f_accu = f_accu + X^i @@ -171,25 +302,14 @@ PEC_soil <- function(rate, rate_units = "g/ha", interception = 0, f_tillage = mixing_depth / tillage_depth - PEC_background = f_accu * f_tillage * PEC_soil_ini + PEC_background = f_accu * f_tillage * PEC_soil_ini # (A2) - PEC_soil = (1 + f_accu * f_tillage) * PEC_soil_ini + PEC_soil = PEC_soil_ini + PEC_background # (A6) # Get porewater PEC if requested if (porewater) { - # If Kom is not specified, try to get K(f)oc - if (is.na(Kom)) { - # If Koc not specified, try to get K(f)oc from chent - if (is.na(Koc) & is(chent, "chent")) { - Koc <- soil_Kfoc(chent) - } - Kom <- Koc / 1.724 - } - - if (is.na(Kom)) stop("No Kom information specified") - - PEC_soil = PEC_soil/((sce$theta_fc/sce$rho) + sce$f_om * Kom) + PEC_soil = PEC_soil/((sce$theta_fc/sce$rho) + f_f_om_average(mixing_depth, cultivation) * sce$f_om * Kom) # (A7) } # Scenario adjustment factors @@ -200,14 +320,15 @@ PEC_soil <- function(rate, rate_units = "g/ha", interception = 0, result <- matrix(NA, ncol = n_sce, nrow = length(t_avg), dimnames = list(t_avg = t_avg, scenario = rownames(sce))) - + result[1, ] <- PEC_soil_sce_mod for (i in seq_along(t_avg)) { t_av_i <- t_avg[i] + k_avg <- f_T * k_ref # Leaching not taken into account, EFSA 2017 p. 43 if (t_av_i > 0) { # Equation 10 from p. 24 (EFSA 2015) - result[i, ] <- PEC_soil_sce_mod/(t_av_i * f_T * k) * (1 - exp(- f_T * k * t_av_i)) + result[i, ] <- PEC_soil_sce_mod/(t_av_i * k_avg) * (1 - exp(- k_avg * t_av_i)) # (A8) } } diff --git a/R/PEC_sw_exposit_runoff.R b/R/PEC_sw_exposit_runoff.R index f56b8f8..733f621 100644 --- a/R/PEC_sw_exposit_runoff.R +++ b/R/PEC_sw_exposit_runoff.R @@ -6,6 +6,7 @@ #' @format A data frame with percentage values for the dissolved fraction and the fraction #' bound to eroding particles, with Koc classes used as row names #' \describe{ +#' \item{Koc_lower_bound}{The lower bound of the Koc class} #' \item{dissolved}{The percentage of the applied substance transferred to an #' adjacent water body in the dissolved phase} #' \item{bound}{The percentage of the applied substance transferred to an diff --git a/R/soil_scenario_data_EFSA_2015.R b/R/soil_scenario_data_EFSA_2015.R index fb096bc..660cafe 100644 --- a/R/soil_scenario_data_EFSA_2015.R +++ b/R/soil_scenario_data_EFSA_2015.R @@ -10,10 +10,10 @@ #' e.g. CTN for the Northern scenario for the total concentration in soil. Columns are #' mostly self-explanatory. \code{rho} is the dry bulk density of the top soil. #' @source EFSA (European Food Safety Authority) (2015) -#' EFSA guidance document for predicting environmental concentrations -#' of active substances of plant protection products and transformation products of these -#' active substances in soil. \emph{EFSA Journal} \bold{13}(4) 4093 -#' doi:10.2903/j.efsa.2015.4093 +#' EFSA guidance document for predicting environmental concentrations +#' of active substances of plant protection products and transformation products of these +#' active substances in soil. \emph{EFSA Journal} \bold{13}(4) 4093 +#' doi:10.2903/j.efsa.2015.4093 #' @keywords datasets #' @examples #' \dontrun{ diff --git a/R/soil_scenario_data_EFSA_2017.R b/R/soil_scenario_data_EFSA_2017.R new file mode 100644 index 0000000..79ee15f --- /dev/null +++ b/R/soil_scenario_data_EFSA_2017.R @@ -0,0 +1,20 @@ +#' Properties of the predefined scenarios from the EFSA guidance from 2017 +#' +#' Properties of the predefined scenarios used at Tier 1, Tier 2A and Tier 3A for the +#' concentration in soil as given in the EFSA guidance (2017, p. 14/15). Also, the +#' scenario and model adjustment factors from p. 16 and p. 18 are included. +#' +#' @name soil_scenario_data_EFSA_2017 +#' @docType data +#' @format A data frame with one row for each scenario. Row names are the scenario codes, +#' e.g. CTN for the Northern scenario for the total concentration in soil. Columns are +#' mostly self-explanatory. \code{rho} is the dry bulk density of the top soil. +#' @source EFSA (European Food Safety Authority) (2017) +#' EFSA guidance document for predicting environmental concentrations +#' of active substances of plant protection products and transformation products of these +#' active substances in soil. \emph{EFSA Journal} \bold{15}(10) 4982 +#' doi:10.2903/j.efsa.2017.4982 +#' @keywords datasets +#' @examples +#' soil_scenario_data_EFSA_2017 +NULL |