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author | Johannes Ranke <jranke@uni-bremen.de> | 2019-09-27 10:00:15 +0200 |
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committer | Johannes Ranke <jranke@uni-bremen.de> | 2019-09-27 11:08:53 +0200 |
commit | 435e07a6f7fd2599d783fd306ee6d9e08acc0c6b (patch) | |
tree | bd47fa18a307349eabf4ecfff7ea8da81f5bb654 /R/EFSA_GW_interception_2014.R | |
parent | 803fe13e505960fddccdbd4dcb524715f5eb068d (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
Diffstat (limited to 'R/EFSA_GW_interception_2014.R')
-rw-r--r-- | R/EFSA_GW_interception_2014.R | 41 |
1 files changed, 41 insertions, 0 deletions
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 |