A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Mobile measurements for distribution and attribution of particulate matter in urban environments
https://orcid.org/0000-0002-9096-7842
https://orcid.org/0000-0002-6668-4535
https://orcid.org/0000-0001-8325-7300
https://orcid.org/0000-0003-2720-2238
Abstract Particulate matter (PM) sources differ in urban environments and may show spatiotemporal distinct patterns for varying particle aerodynamic diameters (DP). We here assess such patterns using high-resolution PM ≤10 μm data recorded with a cargo bike along a 14 km route through urban, suburban, and rural areas in Mainz (Germany). The measurements conducted twice a day between May and August 2021 reveal decreasing particle number concentration (PNC) with increasing DP including ∼6000 times higher particle numbers at DP 0.22–0.25 μm compared to DP 4–5 μm. Total mass concentration is bi-modally distributed and dominated by particles <0.3 μm and from 3 to 5 μm representing 36 and 22% of the entire air load, respectively. PM concentrations in Mainz are significantly higher in the morning than in the afternoon, and PM1 and PM10 are 13 and 31% higher in urban compared to surrounding suburban and rural areas. The high-resolution measurements also revealed 30% higher PM concentrations at DP 3–5 μm in the urban compared to the rural sectors, which is indicative for road dust, brake and tyre abrasion as the main source. DP distribution in rural hotspots is generally shifted toward larger particles >3 μm, most likely related to natural dust from agricultural fields. These findings show that high-resolution PM profiles can skillfully be recorded using bikes as mobile platform to identify spatial pollution patterns and attribute DP spectra to particular emission sources.
Highlights PM1 and PM10 are significantly higher in the morning than in the afternoon. PM1 and PM10 are 13 and 31% higher in urban compared to surrounding rural areas. Particle numbers decrease significantly with increasing diameter along the track. Total mass is bi-modally distributed and dominated by particles <0.3 μm and 3–5 μm. Mass diameter distributions indicate traffic as main emission at urban hotspots.
Mobile measurements for distribution and attribution of particulate matter in urban environments
https://orcid.org/0000-0002-9096-7842
https://orcid.org/0000-0002-6668-4535
https://orcid.org/0000-0001-8325-7300
https://orcid.org/0000-0003-2720-2238
Abstract Particulate matter (PM) sources differ in urban environments and may show spatiotemporal distinct patterns for varying particle aerodynamic diameters (DP). We here assess such patterns using high-resolution PM ≤10 μm data recorded with a cargo bike along a 14 km route through urban, suburban, and rural areas in Mainz (Germany). The measurements conducted twice a day between May and August 2021 reveal decreasing particle number concentration (PNC) with increasing DP including ∼6000 times higher particle numbers at DP 0.22–0.25 μm compared to DP 4–5 μm. Total mass concentration is bi-modally distributed and dominated by particles <0.3 μm and from 3 to 5 μm representing 36 and 22% of the entire air load, respectively. PM concentrations in Mainz are significantly higher in the morning than in the afternoon, and PM1 and PM10 are 13 and 31% higher in urban compared to surrounding suburban and rural areas. The high-resolution measurements also revealed 30% higher PM concentrations at DP 3–5 μm in the urban compared to the rural sectors, which is indicative for road dust, brake and tyre abrasion as the main source. DP distribution in rural hotspots is generally shifted toward larger particles >3 μm, most likely related to natural dust from agricultural fields. These findings show that high-resolution PM profiles can skillfully be recorded using bikes as mobile platform to identify spatial pollution patterns and attribute DP spectra to particular emission sources.
Highlights PM1 and PM10 are significantly higher in the morning than in the afternoon. PM1 and PM10 are 13 and 31% higher in urban compared to surrounding rural areas. Particle numbers decrease significantly with increasing diameter along the track. Total mass is bi-modally distributed and dominated by particles <0.3 μm and 3–5 μm. Mass diameter distributions indicate traffic as main emission at urban hotspots.
Mobile measurements for distribution and attribution of particulate matter in urban environments
https://orcid.org/0000-0002-9096-7842
https://orcid.org/0000-0002-6668-4535
https://orcid.org/0000-0001-8325-7300
https://orcid.org/0000-0003-2720-2238
Abstract Particulate matter (PM) sources differ in urban environments and may show spatiotemporal distinct patterns for varying particle aerodynamic diameters (DP). We here assess such patterns using high-resolution PM ≤10 μm data recorded with a cargo bike along a 14 km route through urban, suburban, and rural areas in Mainz (Germany). The measurements conducted twice a day between May and August 2021 reveal decreasing particle number concentration (PNC) with increasing DP including ∼6000 times higher particle numbers at DP 0.22–0.25 μm compared to DP 4–5 μm. Total mass concentration is bi-modally distributed and dominated by particles <0.3 μm and from 3 to 5 μm representing 36 and 22% of the entire air load, respectively. PM concentrations in Mainz are significantly higher in the morning than in the afternoon, and PM1 and PM10 are 13 and 31% higher in urban compared to surrounding suburban and rural areas. The high-resolution measurements also revealed 30% higher PM concentrations at DP 3–5 μm in the urban compared to the rural sectors, which is indicative for road dust, brake and tyre abrasion as the main source. DP distribution in rural hotspots is generally shifted toward larger particles >3 μm, most likely related to natural dust from agricultural fields. These findings show that high-resolution PM profiles can skillfully be recorded using bikes as mobile platform to identify spatial pollution patterns and attribute DP spectra to particular emission sources.
Highlights PM1 and PM10 are significantly higher in the morning than in the afternoon. PM1 and PM10 are 13 and 31% higher in urban compared to surrounding rural areas. Particle numbers decrease significantly with increasing diameter along the track. Total mass is bi-modally distributed and dominated by particles <0.3 μm and 3–5 μm. Mass diameter distributions indicate traffic as main emission at urban hotspots.
Mobile measurements for distribution and attribution of particulate matter in urban environments
Harr, Lorenz (author) / Sinsel, Tim (author) / Simon, Helge (author) / Torbenson, Max Carl Arne (author) / Jan, Esper (author)
Atmospheric Environment ; 315
2023-10-19
Article (Journal)
Electronic Resource
English
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