Evaluate a chemical product with the INRS method (high-level wrapper)

Chains all the steps of the INRS method (hazard class, quantity, frequency, potential exposure, potential risk, volatility or dustiness, process and collective protection) from the raw data of a product, and returns a complete result row. Designed to be used directly from code, without going through the Shiny application.

Usage

inrs_evaluate(
  name,
  r_phrases = character(0),
  h_phrases = character(0),
  process = NULL,
  vla = NA_real_,
  quantity_value = NA_real_,
  quantity_unit = c("g", "ml", "kg", "l"),
  frequency_value = NA_real_,
  frequency_unit = c("minutes", "hours", "days", "months", "not_used"),
  substance_type = c("liquid", "solid"),
  liquid_method = c("graph", "pressure"),
  use_temperature = NA_real_,
  boiling_point = NA_real_,
  vapour_pressure = NA_real_,
  solid_description = NA_character_,
  procedure,
  protection
)

Arguments

name: Character. Name of the product.
r_phrases, h_phrases: Character vectors. See inrs_hazard_class().
process: Character. See inrs_hazard_class().
vla: Numeric. VLA in mg/m3.
quantity_value, quantity_unit: See inrs_quantity_class().
frequency_value, frequency_unit: See inrs_frequency_class().
substance_type: Character. "liquid" or "solid".
liquid_method: Character. "graph" or "pressure". Only used if substance_type = "liquid".
use_temperature, boiling_point: Numeric. Only if liquid_method = "graph".
vapour_pressure: Numeric. Only if liquid_method = "pressure".
solid_description: Character. Only if substance_type = "solid". See inrs_solid_dustiness().
procedure: Character. See inrs_process_type().
protection: Character. See inrs_collective_protection().

Value

A one-row data.frame with all the intermediate classes and scores, the final inhalation risk score and its characterisation.

Examples

inrs_evaluate(
  name = "Solvent X",
  h_phrases = "H336",
  vla = 50,
  quantity_value = 5, quantity_unit = "l",
  frequency_value = 3, frequency_unit = "hours",
  substance_type = "liquid",
  liquid_method = "graph",
  use_temperature = 40, boiling_point = 80,
  procedure = "Open",
  protection = "Moderate dispersion conditions"
)
#>     product hazard_class quantity_class frequency_class
#> 1 Solvent X            2              2               3
#>   potential_exposure_class potential_risk_class potential_risk_score
#> 1                        2                    1                    1
#>   volatility_dustiness_class volatility_dustiness_score procedure_class
#> 1                          3                        100               3
#>   procedure_score protection_class protection_score vla_correction_factor
#> 1             0.5                3              0.7                     1
#>   inhalation_risk                                   risk_characterisation
#> 1              35 1 - Risk appears low a priori (no modifications needed)