Concentrations settings

Selection settings

Table 85 Selection settings for module Concentrations.
Name Type Description
Seed for pseudo-random number generator

Numeric

A value of 0 will use a pseudo-random seed in each run, a value > 0 will provide the same results in a repeated run.
Selected tier

SettingsTemplateType

Specifies all module settings should be set according to a pre-defined tier or using custom settings.
Filter samples exceeding the concentration limits

Boolean

If checked, samples with at least one substance concentration higher than some factor (concentration limit filter exceedance factor) times the MRL are filtered out.
Concentration limit filter exceedance factor

Numeric

The multiplication factor for the concentration limit exceedance filter.
Use substance conversion rules

Boolean

If checked, concentrations are modelled in terms of active substances (using substance conversion).
Substance conversion method
SubstanceTranslationAllocationMethod Allocation method for assigning active substance concentrations from measured substance concentrations based on substance translations.
Retain all allocated substances after active substance allocation

Boolean

If checked, all allocated substances kept after substance conversion. Otherwise, the concentration data is restricted to the active substances of the assessment group.
Account for substance authorisations in substance conversions

Boolean

Account for substance authorisations when allocating measured substances to active substance using substance conversions.
Fix duplicate substance allocation inconsistencies

Boolean

Resolve inconsistencies when active substance allocation leads to multiple concentration value estimates for the same active substance. This method uses the mean of the positives or zero concentrations when available, or else the lowest of the censored values.
Use extrapolation rules

Boolean

Use extrapolation rules to extrapolate food samples for foods with a limited amount of samples (data poor foods) from other foods (data rich foods).
Threshold for extrapolation

Numeric

Threshold for extrapolation.
Restrict extrapolations to equal MRLs

Boolean

Restrict extrapolations to equal MRLs.
Restrict extrapolations to authorised uses

Boolean

Only extrapolate if substance use is authorised.
Impute water concentrations

Boolean

Impute constant concentration values on the selected (water) commodity.
Water commodity

AlphaNumeric

The commodity for which constant concentration values should be added.
Water concentration value (µg/kg)

Numeric

Constant concentration value that should be used for water (in µg/kg).
Restrict water imputation to the five most toxic substances

Boolean

Restrict water imputation to the five most toxic substances.
Restrict water imputation to authorised uses

Boolean

Restrict water imputation to authorised uses.
Restrict water imputation to approved substances

Boolean

Specifies whether imputation of water should be limited to approved substances only.
Include focal commodity concentrations

Boolean

Specifies whether there is monitoring data that should replace part of the consumption data for the specified focal commodities.
Focal commodity food / substance combinations

FocalFood

The foods / substances for which background concentration data are to be replaced by focal commodity concentrations.
Focal commodity substances

AlphaNumeric

The substances for which background concentration data are to be replaced by focal commodity concentrations.
Focal commodity concentrations replacement method
FocalCommodityReplacementMethod Replacement method to be used for replacing base concentration data with concentration data of the focal commodity/commodities concentrations.
Focal commodity substance occurrence percentage

Numeric

Anticipated occurrence percentage / agricultural use percentage of the focal commodity.
Adjustment factor for the focal food/substance concentration

Numeric

Optional adjustment factor for the focal food/substance concentration. E.g., the expected ratio of mean monitoring concentration and mean field trial concentration.
Use deterministic substance conversions for focal commodity

Boolean

Convert measured substance concentrations of focal commodity to active substance concentrations using deterministic substance conversion factors.
Filter samples by specific property values (subset selection)

Boolean

Specifies whether a subset selection on specific sample properties should be made (e.g., by country or by year).
Restrict to specific modelled foods (modelled foods subset)

Boolean

If checked, then the assessment is restricted to the specified modelled foods.
Align sampling location subset with population

Boolean

If checked, the samples are filtered based on the location of the selected population.
Include samples with unspecified location

Boolean

If checked, then samples for which the sample location is not specified are also included by the sample location filter.
Align sample date subset with population

Boolean

If checked, the samples are filtered based on the period of the selected population.
Align sampling month subset with population

Boolean

If checked, the samples are filtered based on the month/period of the selected population.
Include samples with unspecified sampling date

Boolean

If checked, then samples for which the sample date is not specified are also included by the sample date filter.
Filter samples by location

Boolean

If checked, samples are filtered based on the selected locations.
Filter samples by year

Boolean

If checked, samples are filtered based on the selected years.
Filter samples by month

Boolean

If checked, samples are filtered based on the specified sampling month.
Samples subset definitions

SamplesSubsetDefinition

Samples subset definitions filter the concentration samples on custom properties using a set of keywords.
Samples by location subset definition

LocationSubsetDefinition

The subset definition to filter samples by location.
Samples by time period subset definition

PeriodSubsetDefinition

The subset definition to filter samples by time period.

Output settings

Table 86 Output settings for module Concentrations.
Name Type Description
Lower percentage for variability (%)

Numeric

The default value of 25% may be overruled.
Upper percentage for variability (%)

Numeric

The default value of 75% may be overruled.

Uncertainty settings

Table 87 Uncertainty settings for module Concentrations.
Name Type Description
Resample concentrations

Boolean

Specifies whether concentrations are resampled by empirical bootstrap or using a parametric uncertainty model.