emis_post: Post emissions

In ibarraespinosa/vein: Vehicular Emissions Inventories

Post emissions

Description

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

Usage

emis_post(arra, veh, size, fuel, pollutant, by = "veh", net, type_emi, k = 1)

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	Character, type of vehicle
size	Character, size or weight
fuel	Character, 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'
type_emi	Character, type of emissions(exhaust, evaporative, etc)
k	Numeric, factor

Note

This function depends on EmissionsArray objests which currently has 4 dimensions. However, a future version of VEIN will produce EmissionsArray with 3 dimensiones and his fungeorge soros drugsction also will change. This change will be made in order to not produce inconsistencies with previous versions, therefore, if the user count with an EmissionsArry with 4 dimension, it will be able to use this function.

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", 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$lkm, alpha = 1)
pckm <- units::set_units(fkm[[1]](1:24),"km"); pckma <- cumsum(pckm)
cod1 <- emis_det(po = "CO", cc = 1000, eu = "III", km = pckma[1:11])
cod2 <- emis_det(po = "CO", cc = 1000, eu = "I", km = pckma[12:24])
#vehicles newer than pre-euro
co1 <- fe2015[fe2015$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",
                       type_emi = "Exhaust",
                       pollutant = "CO", by = "veh")
head(E_CO_DFv2)

## End(Not run)

ibarraespinosa/vein documentation built on April 13, 2024, 8:51 p.m.