From e3bc264df69f892e9ad990be22d3ec1b22041daa Mon Sep 17 00:00:00 2001
From: Johannes Ranke
Date: Wed, 17 Jun 2020 13:37:59 +0200
Subject: TSCF estimation equations, update docs
Briggs et al. (1982) and Dettenmaier et al. (2009)
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docs/reference/soil_scenario_data_EFSA_2015.html | 53 +++++++++++-------------
1 file changed, 24 insertions(+), 29 deletions(-)
(limited to 'docs/reference/soil_scenario_data_EFSA_2015.html')
diff --git a/docs/reference/soil_scenario_data_EFSA_2015.html b/docs/reference/soil_scenario_data_EFSA_2015.html
index d5ef9e7..cb3cf14 100644
--- a/docs/reference/soil_scenario_data_EFSA_2015.html
+++ b/docs/reference/soil_scenario_data_EFSA_2015.html
@@ -8,23 +8,29 @@
Properties of the predefined scenarios from the EFSA guidance from 2015 — soil_scenario_data_EFSA_2015 • pfm
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@@ -54,7 +60,7 @@ scenario and model adjustment factors from p. 15 and p. 17 are included." />
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Reference
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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 (2015, p. 13/14). Also, the
scenario and model adjustment factors from p. 15 and p. 17 are included.
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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. rho is the dry bulk density of the top soil.
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Source
EFSA (European Food Safety Authority) (2015)
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of active substances of plant protection products and transformation products of these
active substances in soil. EFSA Journal13(4) 4093
doi:10.2903/j.efsa.2015.4093
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Examples
if (FALSE) {
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#> CLC 4
#> CLS 4