emis_paved | R Documentation |
emis_paved
estimates vehicular emissions from paved roads.
The vehicular emissions are estimated as the product of the vehicles on a
road, length of the road, emission factor from AP42 13.2.1 Paved roads.
It is assumed dry hours and annual aggregation should consider moisture factor.
It depends on Average Daily Traffic (ADT)
emis_paved(
veh,
adt,
lkm,
k = 0.62,
sL1 = 0.6,
sL2 = 0.2,
sL3 = 0.06,
sL4 = 0.03,
W,
net = net
)
veh |
Numeric vector with length of elements equals to number of streets It is an array with dimenssions number of streets x hours of day x days of week |
adt |
Numeric vector of with Average Daily Traffic (ADT) |
lkm |
Length of each link |
k |
K_PM30 = 3.23 (g/vkm), K_PM15 = 0.77 (g/vkm), K_PM10 = 0.62 (g/vkm) and K_PM2.5 = 0.15 (g/vkm). |
sL1 |
Silt loading (g/m2) for roads with ADT <= 500 |
sL2 |
Silt loading (g/m2) for roads with ADT > 500 and <= 5000 |
sL3 |
Silt loading (g/m2) for roads with ADT > 5000 and <= 1000 |
sL4 |
Silt loading (g/m2) for roads with ADT > 10000 |
W |
array of dimensions of veh. It consists in the hourly averaged weight of traffic fleet in each road |
net |
SpatialLinesDataFrame or Spatial Feature of "LINESTRING" |
emission estimation g/h
silt values can vary a lot. For comparison:
ADT | US-EPA g/m2 | CENMA (Chile) g/m2 |
< 500 | 0.6 | 2.4 |
500-5000 | 0.2 | 0.7 |
5000-1000 | 0.06 | 0.6 |
>10000 | 0.03 | 0.3 |
EPA, 2016. Emission factor documentation for AP-42. Section 13.2.1, Paved Roads. https://www3.epa.gov/ttn/chief/ap42/ch13/final/c13s0201.pdf
CENMA Chile: Actualizacion de inventario de emisiones de contaminntes atmosfericos RM 2020 Universidad de Chile#'
## Not run:
# Do not run
veh <- matrix(1000, nrow = 10,ncol = 10)
W <- veh*1.5
lkm <- 1:10
ADT <-1000:1010
emi <- emis_paved(veh = veh, adt = ADT, lkm = lkm, k = 0.65, W = W)
class(emi)
head(emi)
## End(Not run)
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