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Estimate the soil sorption coefficient in two different ways

Source: R/substance_properties.R
Kd_regression.Rd

Estimation via direct or indirect logarithmic linear regression including pH, organic carbon and soil concentration. (log10 is used for all variables)

Usage

Kd_regression(
  constant,
  beta_ph,
  beta_org,
  beta_conc,
  regType = "direct",
  pH,
  org_c,
  conc
)

Arguments

constant

Log constant in linear Kd regression

beta_ph, beta_org, beta_conc

Log coefficient for pH, organic carbon and soil concentration in log-linear Kd regression

regType

Chacter specifying the way the K_d value is calculated. Either "direct" which means that the regression directly leads to the sorption coefficient or"indirect" which means the regression estimates a concentration in pore water and the sorption coefficient is subsequently be calculated by the quotient of soil and pore water concentration.

pH

pH value

org_c

Organic carbon content in percent.

conc

Soil concentration in mg/kg

Value

A vector of sorption coefficients in L/kg

Details

The constant value, the regression parameter (beta) and the soil characteristics can be single numeric values or vectors of the same length.