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+# Properties of the predefined scenarios from the EFSA guidance from 2017
+
+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.
+
+## Usage
+
+``` r
+soil_scenario_data_EFSA_2017
+```
+
+## Format
+
+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.
+
+## Source
+
+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](https://doi.org/10.2903/j.efsa.2017.4982)
+
+## Examples
+
+``` r
+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
+
+waldo::compare(soil_scenario_data_EFSA_2017, soil_scenario_data_EFSA_2015)
+#> `old` is length 12
+#> `new` is length 10
+#> 
+#> `names(old)[8:12]`: "rho" "f_sce" "f_mod" "FOCUS_zone" "prec"
+#> `names(new)[8:10]`: "rho" "f_sce" "f_mod"                    
+#> 
+#> `old$Country`: "Estonia" "Poland"  "France" "Denmark" "Austria"        "Spain"
+#> `new$Country`: "Estonia" "Germany" "France" "Denmark" "Czech Republik" "Spain"
+#> 
+#> `old$T_arit`: 5.70 7.40 10.20 8.00 9.30 15.40
+#> `new$T_arit`: 4.70 8.00 11.00 8.20 9.10 12.80
+#> 
+#> `old$T_arr`: 7.60  9.30 11.70 9.20 11.30 16.70
+#> `new$T_arr`: 7.00 10.10 12.30 9.80 11.20 14.70
+#> 
+#> `old$Texture`: "Coarse" "Coarse" "Medium"      "Medium" "Medium" "Medium"
+#> `new$Texture`: "Coarse" "Coarse" "Medium fine" "Medium" "Medium" "Medium"
+#> 
+#> `old$f_om`: 0.2200 0.1220 0.0700 0.0250 0.0180 0.0100
+#> `new$f_om`: 0.1180 0.0860 0.0480 0.0230 0.0180 0.0110
+#> 
+#> `old$theta_fc`: 0.2440 0.2440 0.3490 0.3490 0.3490 0.3490
+#> `new$theta_fc`: 0.2440 0.2440 0.3850 0.3470 0.3470 0.3470
+#> 
+#> `old$rho`: 0.7070 0.9340 1.1170 1.3710 1.4320 1.5210
+#> `new$rho`: 0.9500 1.0500 1.2200 1.3900 1.4300 1.5100
+#> 
+#> `old$f_sce`: 1.40 1.40 1.40 1.60 1.60 1.60
+#> `new$f_sce`: 3.00 2.00 2.00 2.00 1.50 1.50
+#> 
+#> And 3 more differences ...
+```