Kd_regression: Estimate the soil sorption coefficient in two different ways

In KWB-R/kwb.fcr: Fertilizer chemical risk assessment

Estimate the soil sorption coefficient in two different ways

Description

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

Details

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

Value

A vector of sorption coefficients in L/kg

KWB-R/kwb.fcr documentation built on Nov. 14, 2023, 5:17 a.m.