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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 ...
```
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