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Adapt reportEmiAirPol.R to use renamed air pollution variables after MAGICC6 removal #682

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merged 9 commits into from
Dec 18, 2024
Merged

Adapt reportEmiAirPol.R to use renamed air pollution variables after MAGICC6 removal #682

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3fc3ed2
Added p11_emiAPexsolve.gdx as possible file name
Dec 17, 2024
5124f33
Adapted 'pm_X' vars to new prefix 'p11_X'
Dec 17, 2024
6b90ffc
Removed unused conversion factors
Dec 17, 2024
c1c6d11
Don't import getRegions, replace with getItems
Dec 17, 2024
e47ed22
Removed magclass:: prefix for getNames calls
Dec 17, 2024
b624b99
Re-formatted
Dec 17, 2024
874a9a5
Rm'd setYears, restructured imports
Dec 17, 2024
08c6f85
Merge branch 'dev/rm_magicc6'
Dec 18, 2024
8519c00
buildLibrary
Dec 18, 2024
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211 changes: 128 additions & 83 deletions R/reportEmiAirPol.R
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Original file line number Diff line number Diff line change
Expand Up @@ -16,136 +16,181 @@
#' @author Antoine Levesque, Jerome Hilaire
#' @seealso \code{\link{convGDX2MIF}}
#' @examples
#' \dontrun{reportEmiAirPol(gdx)}
#' \dontrun{
#' reportEmiAirPol(gdx)
#' }
#'
#' @export
#' @importFrom gdx readGDX
#' @importFrom magclass collapseNames getNames<- mbind setNames new.magpie getRegions getYears mbind setYears getItems<-
reportEmiAirPol <- function(gdx,regionSubsetList=NULL,t=c(seq(2005,2060,5),seq(2070,2110,10),2130,2150)){

#' @importFrom magclass new.magpie mbind getNames<- setNames collapseNames getYears getItems
reportEmiAirPol <- function(gdx, regionSubsetList = NULL, t = c(seq(2005, 2060, 5), seq(2070, 2110, 10), 2130, 2150)) {
# Get realisation name
realisation <- readGDX(gdx, "module2realisation")
realisation <- realisation[which(realisation[,1] == "aerosols"),2]
realisation <- realisation[which(realisation[, 1] == "aerosols"), 2]

######### initialisation ###########
tmp <- NULL
out <- NULL

if (! realisation == "exoGAINS") stop("not allowed air pollution realization.")
if (!realisation == "exoGAINS") stop("not allowed air pollution realization.")

######### initialisation ###########
airpollutants <- c("so2","bc","oc","CO","VOC","NOx","NH3")
airpollutants <- c("so2", "bc", "oc", "CO", "VOC", "NOx", "NH3")

######### internal function ###########
generateReportingEmiAirPol <- function(pollutant,i_emiAPexsolve=pm_emiAPexsolve,i_emiAPexo=pm_emiAPexo){
generateReportingEmiAirPol <- function(pollutant, i_emiAPexsolve = p11_emiAPexsolve, i_emiAPexo = p11_emiAPexo) {
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@tonnrueter tonnrueter Dec 17, 2024 •
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Replaced pm_X here..

poll_rep <- toupper(pollutant)
tmp <- NULL

# reduce to the pollutant
emiAPexsolve <- collapseNames(i_emiAPexsolve[,,pollutant])
emiAPexo <- collapseNames(i_emiAPexo[,,pollutant])
emiAPexsolve <- collapseNames(i_emiAPexsolve[, , pollutant])
emiAPexo <- collapseNames(i_emiAPexo[, , pollutant])
getSets(emiAPexo) <- getSets(emiAPexsolve)

# add indprocess to indst
emiAPexsolve[,,"indst"] <- emiAPexsolve[,,"indst"] + emiAPexsolve[,,"indprocess"]
emiAPexsolve[, , "indst"] <- emiAPexsolve[, , "indst"] + emiAPexsolve[, , "indprocess"]

# Replace REMIND sector names by reporting ones
mapping = data.frame(
mapping <- data.frame(
remind = c("power", "indst", "res", "trans", "solvents", "extraction"),
reporting = c(paste0("Emi|", poll_rep, "|Energy Supply|Electricity (Mt ", poll_rep, "/yr)"),
paste0("Emi|", poll_rep, "|Energy Demand|Industry (Mt ", poll_rep, "/yr)"),
paste0("Emi|", poll_rep, "|Energy Demand|Buildings (Mt ", poll_rep, "/yr)"),
paste0("Emi|", poll_rep, "|Energy Demand|Transport|Ground Trans (Mt ", poll_rep, "/yr)"),
paste0("Emi|", poll_rep, "|Solvents (Mt ", poll_rep, "/yr)"),
paste0("Emi|", poll_rep, "|Energy Supply|Extraction (Mt ", poll_rep, "/yr)")))

emiAPexsolve <- setNames(emiAPexsolve[,,mapping$remind],as.character(mapping$reporting))

tmp <-
mbind(emiAPexsolve,
setNames(emiAPexo[,,"AgWasteBurning"], paste0("Emi|",poll_rep,"|Land Use|Agricultural Waste Burning (Mt ",poll_rep,"/yr)")),
setNames(emiAPexo[,,"Agriculture"], paste0("Emi|",poll_rep,"|Land Use|Agriculture (Mt ",poll_rep,"/yr)")),
setNames(emiAPexo[,,"ForestBurning"], paste0("Emi|",poll_rep,"|Land Use|Forest Burning (Mt ",poll_rep,"/yr)")),
setNames(emiAPexo[,,"GrasslandBurning"],paste0("Emi|",poll_rep,"|Land Use|Savannah Burning (Mt ",poll_rep,"/yr)")),
setNames(emiAPexo[,,"Waste"], paste0("Emi|",poll_rep,"|Waste (Mt ",poll_rep,"/yr)")))

reporting = c(
paste0("Emi|", poll_rep, "|Energy Supply|Electricity (Mt ", poll_rep, "/yr)"),
paste0("Emi|", poll_rep, "|Energy Demand|Industry (Mt ", poll_rep, "/yr)"),
paste0("Emi|", poll_rep, "|Energy Demand|Buildings (Mt ", poll_rep, "/yr)"),
paste0("Emi|", poll_rep, "|Energy Demand|Transport|Ground Trans (Mt ", poll_rep, "/yr)"),
paste0("Emi|", poll_rep, "|Solvents (Mt ", poll_rep, "/yr)"),
paste0("Emi|", poll_rep, "|Energy Supply|Extraction (Mt ", poll_rep, "/yr)")
)
)

emiAPexsolve <- setNames(emiAPexsolve[, , mapping$remind], as.character(mapping$reporting))

tmp <- mbind(
emiAPexsolve,
setNames(emiAPexo[, , "AgWasteBurning"], paste0("Emi|", poll_rep, "|Land Use|Agricultural Waste Burning (Mt ", poll_rep, "/yr)")),
setNames(emiAPexo[, , "Agriculture"], paste0("Emi|", poll_rep, "|Land Use|Agriculture (Mt ", poll_rep, "/yr)")),
setNames(emiAPexo[, , "ForestBurning"], paste0("Emi|", poll_rep, "|Land Use|Forest Burning (Mt ", poll_rep, "/yr)")),
setNames(emiAPexo[, , "GrasslandBurning"], paste0("Emi|", poll_rep, "|Land Use|Savannah Burning (Mt ", poll_rep, "/yr)")),
setNames(emiAPexo[, , "Waste"], paste0("Emi|", poll_rep, "|Waste (Mt ", poll_rep, "/yr)"))
)

# Set NAs to 0
tmp[is.na(tmp)] <- 0

return(tmp)
}

####### conversion factors ##########
pm_conv_TWa_EJ <- 31.536
conv_MtSO2_to_MtS <- 1/2 # 32/(32+2*16)

####### read in needed data #########
## sets
ttot <- as.numeric(readGDX(gdx, name=c("ttot"), format="first_found"))
ttot <- as.numeric(readGDX(gdx, name = c("ttot"), format = "first_found"))
## parameter
pm_emiAPexsolve <- readGDX(gdx, name=c("pm_emiAPexsolve"), field="l", format="first_found")[,ttot,]
pm_emiAPexo <- readGDX(gdx, name=c("pm_emiAPexo"), field="l", format="first_found")[,ttot,airpollutants]
pm_emiAPexoGlob <- readGDX(gdx, name=c("pm_emiAPexoGlob"), field="l", format="first_found")[,ttot,airpollutants]
p11_emiAPexsolve <- readGDX(
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@tonnrueter tonnrueter Dec 17, 2024 •
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.. and added p11_X variables to name vector here

gdx,
name = c("p11_emiAPexsolve", "pm_emiAPexsolve"), field = "l", format = "first_found"
)[, ttot, ]
p11_emiAPexo <- readGDX(
gdx,
name = c("p11_emiAPexo", "pm_emiAPexo"), field = "l", format = "first_found"
)[, ttot, airpollutants]
p11_emiAPexoGlob <- readGDX(
gdx,
name = c("p11_emiAPexoGlob", "pm_emiAPexoGlob"), field = "l", format = "first_found"
)[, ttot, airpollutants]

####### prepare parameter ########################
magclass::getNames(pm_emiAPexsolve) <- gsub("SOx","so2",magclass::getNames(pm_emiAPexsolve))
magclass::getNames(pm_emiAPexsolve) <- gsub("NMVOC","VOC",magclass::getNames(pm_emiAPexsolve))
getNames(p11_emiAPexsolve) <- gsub("SOx", "so2", getNames(p11_emiAPexsolve))
getNames(p11_emiAPexsolve) <- gsub("NMVOC", "VOC", getNames(p11_emiAPexsolve))

####### calculate reporting parameters ############
# Loop over air pollutants and call reporting generating function
out <- do.call("mbind", lapply(airpollutants, generateReportingEmiAirPol))

# Add global values
out <- mbind(out, dimSums(out,dim=1))
out <- mbind(out, dimSums(out, dim = 1))
# add other region aggregations
if (!is.null(regionSubsetList))
if (!is.null(regionSubsetList)) {
out <- mbind(out, calc_regionSubset_sums(out, regionSubsetList))
}

# Loop over air pollutants and add some variables
for (pollutant in airpollutants) {
poll_rep <- toupper(pollutant)
tmp <- NULL
# Add Aviation and Int. Shipping emissions
tmp <- mbind(tmp,setNames(pm_emiAPexoGlob["GLO",,"InternationalShipping"][,,pollutant],paste0("Emi|",poll_rep,"|Energy Demand|Transport|International Shipping (Mt ",poll_rep,"/yr)")),
setNames(pm_emiAPexoGlob["GLO",,"Aviation"][,,pollutant], paste0("Emi|",poll_rep,"|Energy Demand|Transport|Aviation (Mt ",poll_rep,"/yr)"))
)
tmp1 <- new.magpie(getRegions(out),getYears(out),magclass::getNames(tmp),fill=0)
tmp1["GLO",,] <- tmp["GLO",,]
out <- mbind(out,tmp1)
# Aggregation: Transport and Energy Supply
out <- mbind(out,
setNames(dimSums(out[,,
c(paste0("Emi|",poll_rep,"|Energy Demand|Transport|Ground Trans (Mt ",poll_rep,"/yr)"),
paste0("Emi|",poll_rep,"|Energy Demand|Transport|International Shipping (Mt ",poll_rep,"/yr)"),
paste0("Emi|",poll_rep,"|Energy Demand|Transport|Aviation (Mt ",poll_rep,"/yr)"))],dim = 3),
paste0("Emi|",poll_rep,"|Energy Demand|Transport (Mt ",poll_rep,"/yr)")),
setNames(dimSums(out[,,
c(paste0("Emi|",poll_rep,"|Energy Supply|Electricity (Mt ",poll_rep,"/yr)"),
paste0("Emi|",poll_rep,"|Energy Supply|Extraction (Mt ",poll_rep,"/yr)"))],dim = 3),
paste0("Emi|",poll_rep,"|Energy Supply (Mt ",poll_rep,"/yr)"))
)
# Aggregation: Energy Demand + Energy Supply, Land Use
out <- mbind(out,
setNames(dimSums(out[,,c(paste0("Emi|",poll_rep,"|Energy Demand|Industry (Mt ",poll_rep,"/yr)"),
paste0("Emi|",poll_rep,"|Energy Demand|Buildings (Mt ",poll_rep,"/yr)"),
paste0("Emi|",poll_rep,"|Energy Demand|Transport (Mt ",poll_rep,"/yr)"),
paste0("Emi|",poll_rep,"|Energy Supply (Mt ",poll_rep,"/yr)"))],dim = 3),
paste0("Emi|",poll_rep,"|Energy Supply and Demand (Mt ",poll_rep,"/yr)")),
setNames(dimSums(out[,,c(paste0("Emi|",poll_rep,"|Land Use|Savannah Burning (Mt ",poll_rep,"/yr)"),
paste0("Emi|",poll_rep,"|Land Use|Forest Burning (Mt ",poll_rep,"/yr)"),
paste0("Emi|",poll_rep,"|Land Use|Agriculture (Mt ",poll_rep,"/yr)"),
paste0("Emi|",poll_rep,"|Land Use|Agricultural Waste Burning (Mt ",poll_rep,"/yr)"))],dim = 3),
paste0("Emi|",poll_rep,"|Land Use (Mt ",poll_rep,"/yr)"))
)
# Compute total
out <- mbind(out,
setNames(dimSums(out[,,c(paste0("Emi|",poll_rep,"|Energy Supply and Demand (Mt ",poll_rep,"/yr)"),
paste0("Emi|",poll_rep,"|Solvents (Mt ",poll_rep,"/yr)"),
paste0("Emi|",poll_rep,"|Land Use (Mt ",poll_rep,"/yr)"),
paste0("Emi|",poll_rep,"|Waste (Mt ",poll_rep,"/yr)"))],dim=3),
paste0("Emi|",poll_rep," (Mt ",poll_rep,"/yr)"))
)
poll_rep <- toupper(pollutant)
tmp <- NULL
# Add Aviation and Int. Shipping emissions
tmp <- mbind(
tmp,
setNames(
p11_emiAPexoGlob["GLO", , "InternationalShipping"][, , pollutant],
paste0("Emi|", poll_rep, "|Energy Demand|Transport|International Shipping (Mt ", poll_rep, "/yr)")
),
setNames(
p11_emiAPexoGlob["GLO", , "Aviation"][, , pollutant],
paste0("Emi|", poll_rep, "|Energy Demand|Transport|Aviation (Mt ", poll_rep, "/yr)")
)
)
tmp1 <- new.magpie(getItems(out, dim = 1), getYears(out), getNames(tmp), fill = 0)
tmp1["GLO", , ] <- tmp["GLO", , ]
out <- mbind(out, tmp1)
# Aggregation: Transport and Energy Supply
out <- mbind(
out,
setNames(
dimSums(out[
, ,
c(
paste0("Emi|", poll_rep, "|Energy Demand|Transport|Ground Trans (Mt ", poll_rep, "/yr)"),
paste0("Emi|", poll_rep, "|Energy Demand|Transport|International Shipping (Mt ", poll_rep, "/yr)"),
paste0("Emi|", poll_rep, "|Energy Demand|Transport|Aviation (Mt ", poll_rep, "/yr)")
)
], dim = 3),
paste0("Emi|", poll_rep, "|Energy Demand|Transport (Mt ", poll_rep, "/yr)")
),
setNames(
dimSums(out[
, ,
c(
paste0("Emi|", poll_rep, "|Energy Supply|Electricity (Mt ", poll_rep, "/yr)"),
paste0("Emi|", poll_rep, "|Energy Supply|Extraction (Mt ", poll_rep, "/yr)")
)
], dim = 3),
paste0("Emi|", poll_rep, "|Energy Supply (Mt ", poll_rep, "/yr)")
)
)
# Aggregation: Energy Demand + Energy Supply, Land Use
out <- mbind(
out,
setNames(
dimSums(out[, , c(
paste0("Emi|", poll_rep, "|Energy Demand|Industry (Mt ", poll_rep, "/yr)"),
paste0("Emi|", poll_rep, "|Energy Demand|Buildings (Mt ", poll_rep, "/yr)"),
paste0("Emi|", poll_rep, "|Energy Demand|Transport (Mt ", poll_rep, "/yr)"),
paste0("Emi|", poll_rep, "|Energy Supply (Mt ", poll_rep, "/yr)")
)], dim = 3),
paste0("Emi|", poll_rep, "|Energy Supply and Demand (Mt ", poll_rep, "/yr)")
),
setNames(
dimSums(out[, , c(
paste0("Emi|", poll_rep, "|Land Use|Savannah Burning (Mt ", poll_rep, "/yr)"),
paste0("Emi|", poll_rep, "|Land Use|Forest Burning (Mt ", poll_rep, "/yr)"),
paste0("Emi|", poll_rep, "|Land Use|Agriculture (Mt ", poll_rep, "/yr)"),
paste0("Emi|", poll_rep, "|Land Use|Agricultural Waste Burning (Mt ", poll_rep, "/yr)")
)], dim = 3),
paste0("Emi|", poll_rep, "|Land Use (Mt ", poll_rep, "/yr)")
)
)
# Compute total
out <- mbind(
out,
setNames(
dimSums(out[, , c(
paste0("Emi|", poll_rep, "|Energy Supply and Demand (Mt ", poll_rep, "/yr)"),
paste0("Emi|", poll_rep, "|Solvents (Mt ", poll_rep, "/yr)"),
paste0("Emi|", poll_rep, "|Land Use (Mt ", poll_rep, "/yr)"),
paste0("Emi|", poll_rep, "|Waste (Mt ", poll_rep, "/yr)")
)], dim = 3),
paste0("Emi|", poll_rep, " (Mt ", poll_rep, "/yr)")
)
)
}

getSets(out)[3] <- "variable"
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