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This is a convenience function for assembling complete sets of parameters for use across mqor. It allows parameter sets to be simply re-used across functions. This function simply returns an R list which is indexed by mqor functions, meaning that users could construct the themselves, or even pass a row of a dataframe in its stead.

Usage

mqo_params(rv = NULL, u_rv = NULL, a = NULL, b = NULL)

Arguments

rv

Reference value. A numeric value, used to define the relationship between measurement uncertainty and concentration level, for each pollutant and time aggregation. rv is expressed in the same units as the concentration of the pollutant.

u_rv

Maximum accepted relative measurement uncertainty. A numeric value, expressed as a percent (0.1 is equivalent to 10%).

a

The alpha parameter. Fraction of the maximum accepted measurement uncertainty that is not proportional to the concentration, ranging between 0 and 1. It is pollutant and measurement-type specific.

b

The beta parameter. Ratio between the maximum accepted modelling and measurement uncertainties for short- and long-term averages. It is pollutant and measurement-type specific, and it determines the stringency of the MQO. The stringency factor β corresponds to the maximum ratio of uncertainty of modelling applications as specified in the AAQD.

Value

a list of length 5, with names term, rv, u_rv, a, and b.

See also

Other parameter constructors: mqo_params_default()