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<h1>Properties of the predefined scenarios from the EFSA guidance from 2015</h1>
=======
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>>>>>>> refs/remotes/origin/main
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<img src="" class="logo" alt=""><h1>Properties of the predefined scenarios from the EFSA guidance from 2015</h1>
<small class="dont-index">Source: <a href="https://github.com/jranke/pfm/blob/HEAD/R/soil_scenario_data_EFSA_2015.R" class="external-link"><code>R/soil_scenario_data_EFSA_2015.R</code></a></small>
<div class="d-none name"><code>soil_scenario_data_EFSA_2015.Rd</code></div>
</div>
<div class="ref-description section level2">
<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>
<<<<<<< HEAD
<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>
=======
<div class="section level2">
<h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a></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="section level2">
<h2 id="source">Source<a class="anchor" aria-label="anchor" href="#source"></a></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="section level2">
<h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
<div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="cn">FALSE</span><span class="op">)</span> <span class="op">{</span></span></span>
<span class="r-in"><span> <span class="co"># This is the code that was used to define the data</span></span></span>
<span class="r-in"><span> <span class="va">soil_scenario_data_EFSA_2015</span> <span class="op"><-</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span></span></span>
<span class="r-in"><span> Zone <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/rep.html" class="external-link">rep</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"North"</span>, <span class="st">"Central"</span>, <span class="st">"South"</span><span class="op">)</span>, <span class="fl">2</span><span class="op">)</span>,</span></span>
<span class="r-in"><span> Country <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Estonia"</span>, <span class="st">"Germany"</span>, <span class="st">"France"</span>, <span class="st">"Denmark"</span>, <span class="st">"Czech Republik"</span>, <span class="st">"Spain"</span><span class="op">)</span>,</span></span>
<span class="r-in"><span> T_arit <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">4.7</span>, <span class="fl">8.0</span>, <span class="fl">11.0</span>, <span class="fl">8.2</span>, <span class="fl">9.1</span>, <span class="fl">12.8</span><span class="op">)</span>,</span></span>
<span class="r-in"><span> T_arr <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">7.0</span>, <span class="fl">10.1</span>, <span class="fl">12.3</span>, <span class="fl">9.8</span>, <span class="fl">11.2</span>, <span class="fl">14.7</span><span class="op">)</span>,</span></span>
<span class="r-in"><span> Texture <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Coarse"</span>, <span class="st">"Coarse"</span>, <span class="st">"Medium fine"</span>, <span class="st">"Medium"</span>, <span class="st">"Medium"</span>, <span class="st">"Medium"</span><span class="op">)</span>,</span></span>
<span class="r-in"><span> f_om <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">0.118</span>, <span class="fl">0.086</span>, <span class="fl">0.048</span>, <span class="fl">0.023</span>, <span class="fl">0.018</span>, <span class="fl">0.011</span><span class="op">)</span>,</span></span>
<span class="r-in"><span> theta_fc <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">0.244</span>, <span class="fl">0.244</span>, <span class="fl">0.385</span>, <span class="fl">0.347</span>, <span class="fl">0.347</span>, <span class="fl">0.347</span><span class="op">)</span>,</span></span>
<span class="r-in"><span> rho <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">0.95</span>, <span class="fl">1.05</span>, <span class="fl">1.22</span>, <span class="fl">1.39</span>, <span class="fl">1.43</span>, <span class="fl">1.51</span><span class="op">)</span>,</span></span>
<span class="r-in"><span> f_sce <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">3</span>, <span class="fl">2</span>, <span class="fl">2</span>, <span class="fl">2</span>, <span class="fl">1.5</span>, <span class="fl">1.5</span><span class="op">)</span>,</span></span>
<span class="r-in"><span> f_mod <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">2</span>, <span class="fl">2</span>, <span class="fl">2</span>, <span class="fl">4</span>, <span class="fl">4</span>, <span class="fl">4</span><span class="op">)</span>,</span></span>
<span class="r-in"><span> stringsAsFactors <span class="op">=</span> <span class="cn">FALSE</span>,</span></span>
<span class="r-in"><span> row.names <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"CTN"</span>, <span class="st">"CTC"</span>, <span class="st">"CTS"</span>, <span class="st">"CLN"</span>, <span class="st">"CLC"</span>, <span class="st">"CLS"</span><span class="op">)</span></span></span>
<span class="r-in"><span> <span class="op">)</span></span></span>
<span class="r-in"><span> <span class="fu"><a href="https://rdrr.io/r/base/save.html" class="external-link">save</a></span><span class="op">(</span><span class="va">soil_scenario_data_EFSA_2015</span>, file <span class="op">=</span> <span class="st">'../data/soil_scenario_data_EFSA_2015.RData'</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="op">}</span></span></span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="co"># And this is the resulting dataframe</span></span></span>
<span class="r-in"><span><span class="va">soil_scenario_data_EFSA_2015</span></span></span>
>>>>>>> refs/remotes/origin/main
<span class="r-out co"><span class="r-pr">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></span> f_mod</span>
<span class="r-out co"><span class="r-pr">#></span> CTN 2</span>
<span class="r-out co"><span class="r-pr">#></span> CTC 2</span>
<span class="r-out co"><span class="r-pr">#></span> CTS 2</span>
<span class="r-out co"><span class="r-pr">#></span> CLN 4</span>
<span class="r-out co"><span class="r-pr">#></span> CLC 4</span>
<span class="r-out co"><span class="r-pr">#></span> CLS 4</span>
</code></pre></div>
</div>
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<p></p><p>Developed by Johannes Ranke.</p>
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