vein (version 0.7.8)

emis_post: Post emissions

Description

emis_post simplify emissions estimated as total per type category of vehicle or by street. It reads EmissionsArray. It can return an dataframe with hourly emissions at each street, or a data base with emissions by vehicular category, hour, including size, fuel and other characteristics.

Usage

emis_post(arra, veh, size, fuel, pollutant, by = "veh", net)

Arguments

arra

Array of emissions 4d: streets x category of vehicles x hours x days or 3d: streets x category of vehicles x hours

veh

Type of vehicle

size

Size or weight

fuel

Fuel

pollutant

Pollutant

by

Type of output, "veh" for total vehicular category , "streets_narrow" or "streets". "streets" returns a dataframe with rows as number of streets and columns the hours as days*hours considered, e.g. 168 columns as the hours of a whole week and "streets repeats the row number of streets by hour and day of the week

net

SpatialLinesDataFrame or Spatial Feature of "LINESTRING". Only when by = 'streets_wide'

Examples

# NOT RUN {
# Do not run
data(net)
data(pc_profile)
data(fe2015)
data(fkm)
PC_G <- c(33491,22340,24818,31808,46458,28574,24856,28972,37818,49050,87923,
          133833,138441,142682,171029,151048,115228,98664,126444,101027,
          84771,55864,36306,21079,20138,17439, 7854,2215,656,1262,476,512,
          1181, 4991, 3711, 5653, 7039, 5839, 4257,3824, 3068)
pc1 <- my_age(x = net$ldv, y = PC_G, name = "PC")
# Estimation for morning rush hour and local emission factors
speed <- data.frame(S8 = net$ps)
p1h <- matrix(1)
lef <- EmissionFactorsList(fe2015[fe2015$Pollutant=="CO", "PC_G"])
E_CO <- emis(veh = pc1,lkm = net$lkm, ef = lef, speed = speed,
             profile = p1h)
E_CO_STREETS <- emis_post(arra = E_CO, pollutant = "CO", by = "streets_wide")
summary(E_CO_STREETS)
E_CO_STREETSsf <- emis_post(arra = E_CO, pollutant = "CO",
                           by = "streets_wide", net = net)
summary(E_CO_STREETSsf)
plot(E_CO_STREETSsf, main = "CO emissions (g/h)")
# arguments required: arra, veh, size, fuel, pollutant ad by
E_CO_DF <- emis_post(arra = E_CO,  veh = "PC", size = "<1400", fuel = "G",
pollutant = "CO", by = "veh")
# Estimation 168 hours
pc1 <- my_age(x = net$ldv, y = PC_G, name = "PC")
pcw <- temp_fact(net$ldv+net$hdv, pc_profile)
speed <- netspeed(pcw, net$ps, net$ffs, net$capacity, net$lkm, alpha = 1)
pckm <- fkm[[1]](1:24); pckma <- cumsum(pckm)
cod1 <- emis_det(po = "CO", cc = 1000, eu = "III", km = pckma[1:11])
cod2 <- emis_det(po = "CO", cc = 1000, eu = "I", km = pckma[12:24])
#vehicles newer than pre-euro
co1 <- fe2015[fe2015$Pollutant=="CO", ] #24 obs!!!
cod <- c(co1$PC_G[1:24]*c(cod1,cod2),co1$PC_G[25:nrow(co1)])
lef <- ef_ldv_scaled(dfcol = cod, v = "PC",  cc = "<=1400",
                     f = "G",p = "CO", eu=co1$Euro_LDV)
E_CO <- emis(veh = pc1,lkm = net$lkm, ef = lef, speed = speed, agemax = 41,
             profile = pc_profile)
# arguments required: arra, pollutant ad by
E_CO_STREETS <- emis_post(arra = E_CO, pollutant = "CO", by = "streets")
summary(E_CO_STREETS)
# arguments required: arra, veh, size, fuel, pollutant ad by
E_CO_DF <- emis_post(arra = E_CO,  veh = "PC", size = "<1400", fuel = "G",
pollutant = "CO", by = "veh")
head(E_CO_DF)
# recreating 24 profile
lpc <-list(pc1*0.2, pc1*0.1, pc1*0.1, pc1*0.2, pc1*0.5, pc1*0.8,
           pc1, pc1*1.1, pc1,
           pc1*0.8, pc1*0.5, pc1*0.5,
           pc1*0.5, pc1*0.5, pc1*0.5, pc1*0.8,
           pc1, pc1*1.1, pc1,
           pc1*0.8, pc1*0.5, pc1*0.3, pc1*0.2, pc1*0.1)
E_COv2 <- emis(veh = lpc,  lkm = net$lkm, ef = lef, speed = speed[, 1:24],
            agemax = 41, hour = 24, day = 1)
plot(E_COv2)
E_CO_DFv2 <- emis_post(arra = E_COv2,  veh = "PC", size = "<1400", fuel = "G",
pollutant = "CO", by = "veh")
head(E_CO_DFv2)
# }