suppressWarnings(file.remove("emi/table_exhaust.csv"))
# plotting
switch(language,
"portuguese" = cat("Plotando EF\n"),
"english" = cat("Plotting EF\n"),
"spanish" = cat("Plotando EF\n")
)
# fatores de emissão
n_PC <- metadata[metadata$family == "PC", ]$vehicles
n_LCV <- metadata[metadata$family == "LCV", ]$vehicles
n_TRUCKS <- metadata[metadata$family == "TRUCKS", ]$vehicles
n_BUS <- metadata[metadata$family == "BUS", ]$vehicles
n_MC <- metadata[metadata$family == "MC", ]$vehicles
ns <- c("PC", "LCV", "TRUCKS", "BUS", "MC")
ln <- list(n_PC, n_LCV, n_TRUCKS, n_BUS, n_MC)
for (i in seq_along(ns)) {
dl <- lapply(seq_along(pol), function(j) {
data.frame(ef_cetesb(
p = pol[j],
veh = ln[[i]],
year = year,
agemax = 40,
verbose = verbose,
sppm = metadata[metadata$vehicles %in%ln[[i]], ]$sppm,
),
pol = pol[j]
)
})
dl <- do.call("rbind", dl)
df <- wide_to_long(
df = dl,
column_with_data = ln[[i]],
column_fixed = "pol"
)
names(df) <- c("ef", "pol", "veh")
df$age <- 1:40
p <- ggplot(
df[df$ef > 0, ],
aes(x = age, y = ef, colour = veh)
) +
geom_line() +
facet_wrap(~pol, scales = "free_y") +
ylim(0, NA) +
labs(y = "g/km") +
# scale_y_log10() +
theme_bw()
png(
filename = paste0("images/EF_", ns[i], ".png"),
width = 2100, height = 1500, units = "px", pointsize = 12,
bg = "white", res = 300
)
print(p)
dev.off()
}
switch(language,
"portuguese" = message("\nFiguras em /images\n"),
"english" = message("\nFigures in /image\n"),
"spanish" = message("\nFiguras en /images\n")
)
# Escapamento ####
switch(language,
"portuguese" = cat("Estimando emissões\n"),
"english" = cat("Estimating emissions\n"),
"spanish" = cat("Estimando emisiones\n")
)
for (i in seq_along(metadata$vehicles)) {
cat(
"\n", metadata$vehicles[i],
rep("", max(nchar(metadata$vehicles) + 1) - nchar(metadata$vehicles[i]))
)
x <- readRDS(paste0("veh/", metadata$vehicles[i], ".rds"))
for (j in seq_along(pol)) {
cat(pol[j], " ")
ef <- ef_cetesb(
p = pol[j],
veh = metadata$vehicles[i],
year = year,
agemax = ncol(x),
verbose = verbose,
scale = scale,
sppm = metadata$sppm[i],
)
array_x <- emis(
veh = x,
lkm = lkm,
ef = ef,
profile = tfs[[metadata$vehicles[i]]],
fortran = TRUE,
nt = check_nt() / 2,
simplify = TRUE,
verbose = verbose
)
x_DF <- emis_post(
arra = array_x,
veh = metadata$vehicles[i],
size = metadata$size[i],
fuel = metadata$fuel[i],
pollutant = pol[j],
type_emi = "Exhaust",
by = "veh"
)
x_DF$subtype_emi <- "Exhaust"
fwrite(x_DF, "emi/table_exhaust.csv", append = TRUE)
x_STREETS <- emis_post(
arra = array_x,
pollutant = pol[j],
by = "streets"
)
saveRDS(x_STREETS,
file = paste0(
"emi/",
metadata$vehicles[i], "/",
metadata$vehicles[i], "_",
pol[j],
"_STREETS.rds"
)
)
}
rm(array_x, ef, x, x_DF, x_STREETS)
}
switch(language,
"portuguese" = message("\n\nArquivos em: /emi/*:"),
"english" = message("\nFiles in: /emi/*"),
"spanish" = message("\nArchivos en: /emi/*")
)
switch(language,
"portuguese" = message("Limpando..."),
"english" = message("Cleaning..."),
"spanish" = message("Limpiando...")
)
suppressWarnings(
rm(
i, j, pol,
n_PC, n_LCV, n_TRUCKS, n_BUS, n_MC,
ns, ln, p, df, dl, cores
)
)
invisible(gc())
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