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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 &lt;- 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'>#&gt; Zone Country T_arit T_arr Texture f_om theta_fc rho f_sce
+#&gt; CTN North Estonia 4.7 7.0 Coarse 0.118 0.244 0.95 3.0
+#&gt; CTC Central Germany 8.0 10.1 Coarse 0.086 0.244 1.05 2.0
+#&gt; CTS South France 11.0 12.3 Medium fine 0.048 0.385 1.22 2.0
+#&gt; CLN North Denmark 8.2 9.8 Medium 0.023 0.347 1.39 2.0
+#&gt; CLC Central Czech Republik 9.1 11.2 Medium 0.018 0.347 1.43 1.5
+#&gt; CLS South Spain 12.8 14.7 Medium 0.011 0.347 1.51 1.5
+#&gt; f_mod
+#&gt; CTN 2
+#&gt; CTC 2
+#&gt; CTS 2
+#&gt; CLN 4
+#&gt; CLC 4
+#&gt; CLS 4</div></pre>
+ </div>
+ <div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
+ <h2>Contents</h2>
+ <ul class="nav nav-pills nav-stacked">
+
+ <li><a href="#format">Format</a></li>
+
+ <li><a href="#source">Source</a></li>
+
+ <li><a href="#examples">Examples</a></li>
+ </ul>
+
+ </div>
+</div>
+
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