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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." />
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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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<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 (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'>#> Zone Country T_arit T_arr Texture f_om theta_fc rho f_sce f_mod
#> CTN North Estonia 5.7 7.6 Coarse 0.220 0.244 0.707 1.4 3
#> CTC Central Poland 7.4 9.3 Coarse 0.122 0.244 0.934 1.4 3
#> CTS South France 10.2 11.7 Medium 0.070 0.349 1.117 1.4 3
#> CLN North Denmark 8.0 9.2 Medium 0.025 0.349 1.371 1.6 4
#> CLC Central Austria 9.3 11.3 Medium 0.018 0.349 1.432 1.6 4
#> CLS South Spain 15.4 16.7 Medium 0.010 0.349 1.521 1.6 4
#> FOCUS_zone prec
#> CTN Hamburg 639
#> CTC Hamburg 617
#> CTS Hamburg 667
#> CLN Hamburg 602
#> CLC Châteaudun 589
#> CLS Sevilla 526</div></pre>
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<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>
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