aboutsummaryrefslogtreecommitdiff
path: root/R/soil_scenario_data_EFSA_2017.R
diff options
context:
space:
mode:
Diffstat (limited to 'R/soil_scenario_data_EFSA_2017.R')
-rw-r--r--R/soil_scenario_data_EFSA_2017.R20
1 files changed, 20 insertions, 0 deletions
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

Contact - Imprint