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.

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

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