# Copyright (C) 2015,2016,2018 Johannes Ranke # Contact: jranke@uni-bremen.de # This file is part of the R package pfm # This program is free software: you can redistribute it and/or modify it under # the terms of the GNU General Public License as published by the Free Software # Foundation, either version 3 of the License, or (at your option) any later # version. # This program is distributed in the hope that it will be useful, but WITHOUT # ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS # FOR A PARTICULAR PURPOSE. See the GNU General Public License for more # details. # You should have received a copy of the GNU General Public License along with # this program. If not, see # Register global variables if(getRversion() >= '2.15.1') utils::globalVariables(c("destination", "study_type", "TP_identifier", "soil_scenario_data_EFSA_2015")) #' 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 #' attempt is made at calculating a long term maximum concentration using #' the concepts layed out for example in the PPR panel opinion (EFSA 2012). #' #' 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. #' #' Total soil and porewater PEC values for the scenarios as defined in the EFSA #' guidance (2015, p. 13) can easily be calculated. #' #' @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 #' with destination 'PECsoil'. #' @importFrom methods is #' @param rate Application rate in units specified below #' @param rate_units Defaults to g/ha #' @param interception The fraction of the application rate that does not reach the soil #' @param mixing_depth Mixing depth in cm #' @param interval Period of the deeper mixing, defaults to 365, which is a year if #' degradation rate units are in days #' @param n_periods Number of periods to be considered for long term PEC calculations #' @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 #' 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 #' degradation is assumed #' @param Koc If specified, overrides Koc endpoints from a chent object #' @param Kom Calculated from Koc by default, but can explicitly be specified #' as Kom here #' @param t_avg Averaging times for time weighted average concentrations #' @param scenarios If this is 'default', 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 #' '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 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 #' (EFSA 2012, p. 24) and the scenarios specified in the EFSA guidance (2015, #' p. 13). #' @return The predicted concentration in soil #' @references EFSA Panel on Plant Protection Products and their Residues (2012) #' Scientific Opinion on the science behind the guidance for scenario #' 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) (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. 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 #' # Relative molar mass is 100/300, formation fraction is 0.7 * 1 #' results_pfm <- PEC_soil(100/300 * 0.7 * 1 * 1000, interval = 365, DT50 = 250, t_avg = c(0, 21), #' scenarios = "EFSA_2015") #' results_pfm_pw <- PEC_soil(100/300 * 0.7 * 1000, interval = 365, DT50 = 250, t_av = c(0, 21), #' Kom = 100, scenarios = "EFSA_2015", porewater = TRUE) PEC_soil <- function(rate, rate_units = "g/ha", interception = 0, mixing_depth = 5, PEC_units = "mg/kg", PEC_pw_units = "mg/L", interval = NA, n_periods = Inf, tillage_depth = 20, chent = NA, DT50 = NA, Koc = NA, Kom = Koc / 1.724, t_avg = 0, scenarios = c("default", "EFSA_2015"), porewater = FALSE) { 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, 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, ] ) n_sce = nrow(sce) soil_volume = 100 * 100 * (mixing_depth/100) # in m3 soil_mass = soil_volume * sce$rho * 1000 # in kg # The following is C_T,ini from EFSA 2012, p. 22, but potentially with interception > 0 PEC_soil_ini = rate_to_soil * 1000 / soil_mass # in mg/kg # Decide which DT50 to take, or set degradation to zero if no DT50 available if (is.na(DT50) & is(chent, "chent")) { if (all(is.na(sce$T_arr))) { # No temperature correction DT50 <- subset(chent$soil_degradation_endpoints, destination == "PECsoil")$DT50 } else { DT50 <- subset(chent$soil_degradation_endpoints, destination == "PECgw")$DT50 } if (length(DT50) > 1) stop("More than one PECsoil DT50 in chent object") if (length(DT50) == 0) DT50 <- Inf } k = log(2)/DT50 # 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$T_arr + 273.15) - 1/293.15))) } # X is the fraction left after one period (EFSA guidance p. 23) X = exp(- k * f_T * interval) # f_accu is the fraction left after n periods (X + X^2 + ...) f_accu = 0 if (!is.na(interval)) { if (n_periods == Inf) { f_accu = X/(1 - X) } else { for (i in 1:n_periods) { f_accu = f_accu + X^i } } } f_tillage = mixing_depth / tillage_depth PEC_background = f_accu * f_tillage * PEC_soil_ini PEC_soil = (1 + f_accu * f_tillage) * PEC_soil_ini # Get porewater PEC if requested if (porewater) { # If Kom is not specified, try to get K(f)oc if (is.na(Kom)) { # If Koc not specified, try to get K(f)oc from chent if (is.na(Koc) & is(chent, "chent")) { Koc <- soil_Kfoc(chent) } Kom <- Koc / 1.724 } if (is.na(Kom)) stop("No Kom information specified") PEC_soil = PEC_soil/((sce$theta_fc/sce$rho) + sce$f_om * Kom) } # Scenario adjustment factors PEC_soil_sce = PEC_soil * sce$f_sce # Model adjustment factors PEC_soil_sce_mod = PEC_soil_sce * sce$f_mod 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] 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)) } } return(result) }