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    <h1>Properties of the predefined scenarios from the EFSA guidance from 2017</h1>
    <small class="dont-index">Source: <a href='https://github.com/jranke/pfm/blob/master/R/soil_scenario_data_EFSA_2017.R'><code>R/soil_scenario_data_EFSA_2017.R</code></a></small>
    <div class="hidden name"><code>soil_scenario_data_EFSA_2017.Rd</code></div>
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    <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 (2017, p. 14/15). Also, the 
scenario and model adjustment factors from p. 16 and p. 18 are included.</p>
    
    </div>

        
    <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) (2017)
  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>15</b>(10) 4982
  doi:10.2903/j.efsa.2017.4982</p>
    

    <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
    <pre class="examples"><div class='input'><span class='no'>soil_scenario_data_EFSA_2017</span></div><div class='output co'>#&gt;        Zone Country T_arit T_arr Texture  f_om theta_fc   rho f_sce f_mod
#&gt; CTN   North Estonia    5.7   7.6  Coarse 0.220    0.244 0.707   1.4     3
#&gt; CTC Central  Poland    7.4   9.3  Coarse 0.122    0.244 0.934   1.4     3
#&gt; CTS   South  France   10.2  11.7  Medium 0.070    0.349 1.117   1.4     3
#&gt; CLN   North Denmark    8.0   9.2  Medium 0.025    0.349 1.371   1.6     4
#&gt; CLC Central Austria    9.3  11.3  Medium 0.018    0.349 1.432   1.6     4
#&gt; CLS   South   Spain   15.4  16.7  Medium 0.010    0.349 1.521   1.6     4
#&gt;     FOCUS_zone prec
#&gt; CTN    Hamburg  639
#&gt; CTC    Hamburg  617
#&gt; CTS    Hamburg  667
#&gt; CLN    Hamburg  602
#&gt; CLC Châteaudun  589
#&gt; CLS    Sevilla  526</div></pre>
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