green_shares: Geospatial Regression Equation parallel execution returning...

In GREENeR: Geospatial Regression Equation for European Nutrient Losses (GREEN)

Geospatial Regression Equation parallel execution returning the source apportionment

Description

Run GREEN model with selected parameter set and returns the nutrient load by each source for all catchments in the Basin.

Usage

green_shares(catch_data, annual_data, alpha_p, alpha_l, sd_coef, loc_years)

Arguments

catch_data	data frame. Definition of the topological sequence of catchments.
annual_data	data frame. Sources of nutrient for each year and catchments.
alpha_p	numeric. First model parameter, the basin retention coefficient.
alpha_l	numeric. Second model parameter, the river retention coefficient.
sd_coef	numeric. Third model parameter, fraction of domestic diffuse sources that reaches the stream network.
loc_years	integer. Years in which the model should be executed.

Value

One object, a data frame with the nutrient load by each source for all catchments in the Basin

Examples

# the data of the TN scenario
data(catch_data_TN)
data(annual_data_TN)
# the parameter to assess the basin model
alpha_p <- 35.09
alpha_l <- 0.02
sd_coef <- 0.2
# year in which the model should be executed
loc_years <- 1990:2018
# Computing the source apportionment
basin_loads_s <- green_shares(catch_data_TN, annual_data_TN, alpha_p, alpha_l,
sd_coef, loc_years)

GREENeR documentation built on May 29, 2024, 6:18 a.m.