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+
+ <h1>Properties of the predefined scenarios from the EFSA guidance from 2015</h1>
+
+<div class="row">
+ <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'><span class="comment">## Not run: ------------------------------------</span>
+<span class="comment"># # This is the code that was used to define the data</span>
+<span class="comment"># soil_scenario_data_EFSA_2015 &lt;- data.frame(</span>
+<span class="comment"># Zone = rep(c("North", "Central", "South"), 2),</span>
+<span class="comment"># Country = c("Estonia", "Germany", "France", "Denmark", "Czech Republik", "Spain"),</span>
+<span class="comment"># T_arit = c(4.7, 8.0, 11.0, 8.2, 9.1, 12.8),</span>
+<span class="comment"># T_arr = c(7.0, 10.1, 12.3, 9.8, 11.2, 14.7),</span>
+<span class="comment"># Texture = c("Coarse", "Coarse", "Medium fine", "Medium", "Medium", "Medium"),</span>
+<span class="comment"># f_om = c(0.118, 0.086, 0.048, 0.023, 0.018, 0.011),</span>
+<span class="comment"># theta_fc = c(0.244, 0.244, 0.385, 0.347, 0.347, 0.347),</span>
+<span class="comment"># rho = c(0.95, 1.05, 1.22, 1.39, 1.43, 1.51),</span>
+<span class="comment"># f_sce = c(3, 2, 2, 2, 1.5, 1.5),</span>
+<span class="comment"># f_mod = c(2, 2, 2, 4, 4, 4),</span>
+<span class="comment"># stringsAsFactors = FALSE,</span>
+<span class="comment"># row.names = c("CTN", "CTC", "CTS", "CLN", "CLC", "CLS")</span>
+<span class="comment"># )</span>
+<span class="comment"># save(soil_scenario_data_EFSA_2015, file = '../data/soil_scenario_data_EFSA_2015.RData')</span>
+<span class="comment">## ---------------------------------------------</span>
+
+<span class="comment"># And this is the resulting dataframe</span>
+<span class="symbol">soil_scenario_data_EFSA_2015</span></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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