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    <h1>Properties of the predefined scenarios from the EFSA guidance from 2015</h1>
    
    <div class="hidden name"><code>soil_scenario_data_EFSA_2015.Rd</code></div>
    </div>

    <div class="ref-description">
    <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>

    <div id="ref-usage">
    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="va">soil_scenario_data_EFSA_2015</span></span></code></pre></div>
    </div>

    <div id="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 id="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
  <a href="https://doi.org/10.2903/j.efsa.2015.4093" class="external-link">doi:10.2903/j.efsa.2015.4093</a></p>
    </div>

    <div id="ref-examples">
    <h2>Examples</h2>
    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">soil_scenario_data_EFSA_2015</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span>        Zone        Country T_arit T_arr     Texture  f_om theta_fc  rho f_sce</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> CTN   North        Estonia    4.7   7.0      Coarse 0.118    0.244 0.95   3.0</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> CTC Central        Germany    8.0  10.1      Coarse 0.086    0.244 1.05   2.0</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> CTS   South         France   11.0  12.3 Medium fine 0.048    0.385 1.22   2.0</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> CLN   North        Denmark    8.2   9.8      Medium 0.023    0.347 1.39   2.0</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> CLC Central Czech Republik    9.1  11.2      Medium 0.018    0.347 1.43   1.5</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> CLS   South          Spain   12.8  14.7      Medium 0.011    0.347 1.51   1.5</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>     f_mod</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> CTN     2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> CTC     2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> CTS     2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> CLN     4</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> CLC     4</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> CLS     4</span>
</code></pre></div>
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