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<h1>Properties of the predefined scenarios from the EFSA guidance from 2015</h1>
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<div class="span8">
<div class="Format">
<h2>Format</h2>
<p>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. <code>rho</code> is the dry bulk density of the top soil.</p>
</div>
<div class="Source">
<h2>Source</h2>
<p>EFSA (European Food Safety Authority) (2015)
EFSA guidance document for predicting environmental concentrations
of active substances of plant protection products and transformation products of these
active substances in soil. <em>EFSA Journal</em> <b>13</b>(4) 4093
doi:10.2903/j.efsa.2015.4093</p>
</div>
<div class="Description">
<h2>Description</h2>
<p>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.</p>
</div>
<h2 id="examples">Examples</h2>
<pre class="examples"><div class='input'>## Not run:
# # This is the code that was used to define the data
# soil_scenario_data_EFSA_2015 <- data.frame(
# Zone = rep(c("North", "Central", "South"), 2),
# Country = c("Estonia", "Germany", "France", "Denmark", "Czech Republik", "Spain"),
# T_arit = c(4.7, 8.0, 11.0, 8.2, 9.1, 12.8),
# T_arr = c(7.0, 10.1, 12.3, 9.8, 11.2, 14.7),
# Texture = c("Coarse", "Coarse", "Medium fine", "Medium", "Medium", "Medium"),
# f_om = c(0.118, 0.086, 0.048, 0.023, 0.018, 0.011),
# theta_fc = c(0.244, 0.244, 0.385, 0.347, 0.347, 0.347),
# rho = c(0.95, 1.05, 1.22, 1.39, 1.43, 1.51),
# f_sce = c(3, 2, 2, 2, 1.5, 1.5),
# f_mod = c(2, 2, 2, 4, 4, 4),
# stringsAsFactors = FALSE,
# row.names = c("CTN", "CTC", "CTS", "CLN", "CLC", "CLS")
# )
# save(soil_scenario_data_EFSA_2015, file = '../data/soil_scenario_data_EFSA_2015.RData')
# ## End(Not run)
# And this is the resulting dataframe
soil_scenario_data_EFSA_2015
</div>
<div class='output'> Zone Country T_arit T_arr Texture f_om theta_fc rho f_sce
CTN North Estonia 4.7 7.0 Coarse 0.118 0.244 0.95 3.0
CTC Central Germany 8.0 10.1 Coarse 0.086 0.244 1.05 2.0
CTS South France 11.0 12.3 Medium fine 0.048 0.385 1.22 2.0
CLN North Denmark 8.2 9.8 Medium 0.023 0.347 1.39 2.0
CLC Central Czech Republik 9.1 11.2 Medium 0.018 0.347 1.43 1.5
CLS South Spain 12.8 14.7 Medium 0.011 0.347 1.51 1.5
f_mod
CTN 2
CTC 2
CTS 2
CLN 4
CLC 4
CLS 4
</div></pre>
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