Evaluation of factors influencing road dust loadings in a Latin American urban center

Figures & data

Figure 1. Bogotá´s land-use information and sampling points for RD10 in the wet period (points 21 to 41) and the dry period (points 1 to 20)

Table 1. On-site and off-site information on factors influencing road dust loadings

category	Factor	On-site	Off-site
Road characteristics	Road type	X
	Pavement condition	X
	Number of lanes	X
	Proximity to braking zones		X
Traffic condition	Driving speeds		X
	Traffic volume		X
	Vehicle type		X
Land use	Vegetation cover		X
	Constructions	X
	Unpaved roads		X
Meteorology	Precipitation		X

Table 2. Ranking of on-site observations influencing dust loadings

Factor	Ranking	On-site observation
Road type	Residential	Road with 1 to 2 lanes, residential traffic predominantly passenger vehicles
	Commercial/Industrial	Road with 1 to 2 lanes, light and heavy-duty traffic and motorcycles
	East center roads	Roads located in the east center area of the city typically narrow, light traffic
Pavement condition	Good	Road in good condition
	Regular	Partially damaged road texture, some cracking indentations
	Bad	Damaged road texture with cracking and indentations
Constructions and unpaved roads	Present	Constructions or unpaved roads, sidewalks, parking lots within 400 m* from sampling point
	Absent	No constructions or unpaved areas within 400 m from sampling point

Notes. *Maximum distance in which demolition/construction hotspots influence PM10 mass according to previous studies (Amato et al. 2009b).

Table 3. Off-site factors influencing dust loadings

Category	Factors	Description	Units	Source
Meteorological	DAYS	Number of days after last precipitation event of at least 0.25 mm	Days	Local Air Quality Monitoring Network
Land-use	VEG	Vegetation cover in a 1-km buffer from sampling point	%	Local land use planning and mobility agencies
	PAVED	Length of paved roads in a 1-km buffer from sampling point	m
	UNPAVED	Length of unpaved roads in a 1-km buffer from sampling point	m
Traffic	VOLUME	Traffic volumes	Vehicle/day	Local traffic or mobility agency
	LDV	Light-duty vehicles weight (passenger vehicles + motorcycles)	ton
	HDV	Heavy-duty vehicles weight (buses + trucks)	ton
	VEL	Driving speeds	kph
Road characteristics	LANES	Number of lanes	#	Google maps
	BRAKE	Distance to closest braking zone	m	Google maps

Table 4. Dust loadings during the sampling campaigns conducted in Bogotá

Dust loadings (mg/m^2)	Wet period	Dry period	Both periods*
Mean	6.2	11.8	8.9
Standard deviation	5.5	10.0	8.4
Minimum	1.0	1.8	1.0
Maximum	22.0	45.8	45.8

Notes. *Dust loadings for all 41 sites are included in the Supplemental Material Table S1.

Figure 2. Road dust loadings estimated for Bogotá in the wet period (a) and the dry period (b)

Figure 3. Analysis of factors influencing road dust from on-site observations, wet period (gray bars) and dry period (black bars), error bars represent minimum and maximum values

Figure 4. Analysis of factors influencing road dust, wet period (gray points) and dry period (black points)

Amato, F., M. Pandolfi, M. Viana, X. Querol, A. Alastuey, and T. Moreno. 2009b. Spatial and chemical patterns of PM10 in road dust deposited in urban environment. Atmos. Environ. 43:1650–59. doi:10.1016/j.atmosenv.2008.12.009.

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