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authorJohannes Ranke <jranke@uni-bremen.de>2019-09-27 10:00:15 +0200
committerJohannes Ranke <jranke@uni-bremen.de>2019-09-27 11:08:53 +0200
commit435e07a6f7fd2599d783fd306ee6d9e08acc0c6b (patch)
treebd47fa18a307349eabf4ecfff7ea8da81f5bb654 /R/EFSA_GW_interception_2014.R
parent803fe13e505960fddccdbd4dcb524715f5eb068d (diff)
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
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+#' 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

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