% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/soil_scenario_data_EFSA_2017.R
\docType{data}
\name{soil_scenario_data_EFSA_2017}
\alias{soil_scenario_data_EFSA_2017}
\title{Properties of the predefined scenarios from the EFSA guidance from 2017}
\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}
}
\usage{
soil_scenario_data_EFSA_2017
}
\description{
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.
}
\examples{
soil_scenario_data_EFSA_2017

waldo::compare(soil_scenario_data_EFSA_2017, soil_scenario_data_EFSA_2015)
}
\keyword{datasets}