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<h1>Properties of the predefined scenarios from the EFSA guidance from 2015</h1>
</div>
<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>
<h2 class="hasAnchor" id="format"><a class="anchor" href="#format"></a>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>
<h2 class="hasAnchor" id="source"><a class="anchor" href="#source"></a>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>
<h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
<pre class="examples"><div class='input'><span class='co'>## Not run: ------------------------------------</span>
<span class='co'># # This is the code that was used to define the data</span>
<span class='co'># soil_scenario_data_EFSA_2015 <- data.frame(</span>
<span class='co'># Zone = rep(c("North", "Central", "South"), 2),</span>
<span class='co'># Country = c("Estonia", "Germany", "France", "Denmark", "Czech Republik", "Spain"),</span>
<span class='co'># T_arit = c(4.7, 8.0, 11.0, 8.2, 9.1, 12.8),</span>
<span class='co'># T_arr = c(7.0, 10.1, 12.3, 9.8, 11.2, 14.7),</span>
<span class='co'># Texture = c("Coarse", "Coarse", "Medium fine", "Medium", "Medium", "Medium"),</span>
<span class='co'># f_om = c(0.118, 0.086, 0.048, 0.023, 0.018, 0.011),</span>
<span class='co'># theta_fc = c(0.244, 0.244, 0.385, 0.347, 0.347, 0.347),</span>
<span class='co'># rho = c(0.95, 1.05, 1.22, 1.39, 1.43, 1.51),</span>
<span class='co'># f_sce = c(3, 2, 2, 2, 1.5, 1.5),</span>
<span class='co'># f_mod = c(2, 2, 2, 4, 4, 4),</span>
<span class='co'># stringsAsFactors = FALSE,</span>
<span class='co'># row.names = c("CTN", "CTC", "CTS", "CLN", "CLC", "CLS")</span>
<span class='co'># )</span>
<span class='co'># save(soil_scenario_data_EFSA_2015, file = '../data/soil_scenario_data_EFSA_2015.RData')</span>
<span class='co'>## ---------------------------------------------</span>
<span class='co'># And this is the resulting dataframe</span>
<span class='no'>soil_scenario_data_EFSA_2015</span></div><div class='output co'>#> 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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<li><a href="#format">Format</a></li>
<li><a href="#source">Source</a></li>
<li><a href="#examples">Examples</a></li>
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