From 435e07a6f7fd2599d783fd306ee6d9e08acc0c6b Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Fri, 27 Sep 2019 10:00:15 +0200 Subject: Fix for UK drainage, some EFSA interception and washoff - PEC_sw_drainage_UK() gave results that were a little bit too high for the substances with the highest Koc (>4000), as I used 0.01% instead of 0.008% for them. This must have come from an old vesion of the UK data requirements handbook, at least I do not have another explanation - Add EFSA interception (from 2014 DegT50 guidance) and tier 1 crop wash-off factors (from 2017 PEC soil guidance) for some major arable crops - Update docs --- R/EFSA_GW_interception_2014.R | 41 +++++++++++++++++++++++++++++++++++++++++ 1 file changed, 41 insertions(+) create mode 100644 R/EFSA_GW_interception_2014.R (limited to 'R/EFSA_GW_interception_2014.R') diff --git a/R/EFSA_GW_interception_2014.R b/R/EFSA_GW_interception_2014.R new file mode 100644 index 0000000..15d7835 --- /dev/null +++ b/R/EFSA_GW_interception_2014.R @@ -0,0 +1,41 @@ +#' Subset of EFSA crop interception default values for groundwater modelling +#' +#' @name EFSA_GW_interception_2014 +#' @docType data +#' @source European Food Safety Authority (2014) EFSA Guidance Document for +#' evaluating laboratory and field dissipation studies to obtain DegT50 values +#' of active substances of plant protection products and transformation +#' products of these active substances in soil. \emph{EFSA Journal} +#' \bold{12}(5):3662, 37 pp., doi:10.2903/j.efsa.2014.3662 +#' @format A matrix containing interception values, currently only for some selected crops +#' @examples +#' \dontrun{ +#' # This is the code that was used to define the data +#' bbch <- paste0(0:9, "x") +#' crops <- c( +#' "Beans (field + vegetable)", +#' "Peas", +#' "Summer oilseed rape", "Winter oilseed rape", +#' "Tomatoes", +#' "Spring cereals", "Winter cereals") +#' EFSA_GW_interception_2014 <- matrix(NA, length(crops), length(bbch), +#' dimnames = list(Crop = crops, BBCH = bbch)) +#' EFSA_GW_interception_2014["Beans (field + vegetable)", ] <- +#' c(0, 0.25, rep(0.4, 2), rep(0.7, 5), 0.8) +#' EFSA_GW_interception_2014["Peas", ] <- +#' c(0, 0.35, rep(0.55, 2), rep(0.85, 5), 0.85) +#' EFSA_GW_interception_2014["Summer oilseed rape", ] <- +#' c(0, 0.4, rep(0.8, 2), rep(0.8, 5), 0.9) +#' EFSA_GW_interception_2014["Winter oilseed rape", ] <- +#' c(0, 0.4, rep(0.8, 2), rep(0.8, 5), 0.9) +#' EFSA_GW_interception_2014["Tomatoes", ] <- +#' c(0, 0.5, rep(0.7, 2), rep(0.8, 5), 0.5) +#' EFSA_GW_interception_2014["Spring cereals", ] <- +#' c(0, 0, 0.2, 0.8, rep(0.9, 3), rep(0.8, 2), 0.8) +#' EFSA_GW_interception_2014["Winter cereals", ] <- +#' c(0, 0, 0.2, 0.8, rep(0.9, 3), rep(0.8, 2), 0.8) +#' save(EFSA_GW_interception_2014, +#' file = "../data/EFSA_GW_interception_2014.RData") +#' } +#' EFSA_GW_interception_2014 +NULL -- cgit v1.2.1