From 22b36c824fe5e1561868a649216fe079c6fbfb85 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Tue, 10 Jul 2018 18:06:29 +0200 Subject: Update static docs --- docs/reference/soil_scenario_data_EFSA_2017.html | 177 +++++++++++++++++++++++ 1 file changed, 177 insertions(+) create mode 100644 docs/reference/soil_scenario_data_EFSA_2017.html (limited to 'docs/reference/soil_scenario_data_EFSA_2017.html') diff --git a/docs/reference/soil_scenario_data_EFSA_2017.html b/docs/reference/soil_scenario_data_EFSA_2017.html new file mode 100644 index 0000000..be49263 --- /dev/null +++ b/docs/reference/soil_scenario_data_EFSA_2017.html @@ -0,0 +1,177 @@ + + + + + + + + +Properties of the predefined scenarios from the EFSA guidance from 2017 — soil_scenario_data_EFSA_2017 • pfm + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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Properties of the predefined scenarios from the EFSA guidance from 2017

+ Source: R/soil_scenario_data_EFSA_2017.R + +
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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.

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Format

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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. rho is the dry bulk density of the top soil.

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Source

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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. EFSA Journal 15(10) 4982 + doi:10.2903/j.efsa.2017.4982

+ + +

Examples

+ 
soil_scenario_data_EFSA_2017
#>        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
+
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+ + +
+ + + + + + -- cgit v1.2.1