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-rw-r--r--R/SSLRC_mobility_classification.R17
1 files changed, 13 insertions, 4 deletions
diff --git a/R/SSLRC_mobility_classification.R b/R/SSLRC_mobility_classification.R
index 2f8fb34..602f166 100644
--- a/R/SSLRC_mobility_classification.R
+++ b/R/SSLRC_mobility_classification.R
@@ -1,4 +1,4 @@
-# Copyright (C) 2015,2018 Johannes Ranke
+# Copyright (C) 2015,2018,2019 Johannes Ranke
# Contact: jranke@uni-bremen.de
# This file is part of the R package pfm
@@ -17,30 +17,39 @@
#' Determine the SSLRC mobility classification for a chemical substance from its Koc
#'
-#' This implements the method specified in the UK data requirements handbook and was
+#' This implements the method specified in the UK data requirements handbook and was
#' checked against the spreadsheet published on the CRC website
#'
#' @param Koc The sorption coefficient normalised to organic carbon in L/kg
#' @return A list containing the classification and the percentage of the
#' compound transported per 10 mm drain water
+#' @references HSE's Chemicals Regulation Division (CRD) Active substance
+#' PECsw calculations (for UK specific authorisation requests)
+#' \url{https://www.hse.gov.uk/pesticides/topics/pesticide-approvals/pesticides-registration/data-requirements-handbook/fate/active-substance-uk.htm}
+#' accessed 2019-09-27
+#'
+#' Drainage PECs Version 1.0 (2015) Spreadsheet published at
+#' \url{https://www.hse.gov.uk/pesticides/topics/pesticide-approvals/pesticides-registration/data-requirements-handbook/fate/pec-tools-2015/PEC\%20sw-sed\%20(drainage).xlsx}
+#' accessed 2019-09-27
#' @export
#' @author Johannes Ranke
#' @examples
#' SSLRC_mobility_classification(100)
+#' SSLRC_mobility_classification(10000)
SSLRC_mobility_classification <- function(Koc)
{
if (!is.numeric(Koc) | length(Koc) != 1) stop("Please give a single number")
if (is.na(Koc)) {
result <- list(NA, NA)
} else {
- result <- list("Non mobile", 0.01)
+ result <- list("Non mobile", 0.008)
if (Koc < 4000) result <- list("Slightly mobile", 0.02)
if (Koc < 1000) result <- list("Slightly mobile", 0.5)
if (Koc < 500) result <- list("Moderately mobile", 0.7)
if (Koc < 75) result <- list("Mobile", 1.9)
if (Koc < 15) result <- list("Very mobile", 1.9)
}
- names(result) <- c("Mobility classification",
+ names(result) <- c("Mobility classification",
"Percentage drained per mm of drain water")
return(result)
}

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