Mobile measurements for distribution and attribution of particulate matter in urban environments
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F23%3A00580042" target="_blank" >RIV/86652079:_____/23:00580042 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.sciencedirect.com/science/article/pii/S1352231023005903?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1352231023005903?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.atmosenv.2023.120164" target="_blank" >10.1016/j.atmosenv.2023.120164</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Mobile measurements for distribution and attribution of particulate matter in urban environments
Popis výsledku v původním jazyce
Particulate matter (PM) sources differ in urban environments and may show spatiotemporal distinct patterns for varying particle aerodynamic diameters (D-P). We here assess such patterns using high-resolution PM <= 10 mu m 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 similar to 6000 times higher particle numbers at D-P 0.22-0.25 mu m compared to D-P 4-5 mu m. Total mass concentration is bi-modally distributed and dominated by particles <0.3 mu m and from 3 to 5 mu m 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 D-P 3-5 mu m in the urban compared to the rural sectors, which is indicative for road dust, brake and tyre abrasion as the main source. D-P distribution in rural hotspots is generally shifted toward larger particles >3 mu m, most likely related to natural dust from agricultural fields. These findings show that highresolution PM profiles can skillfully be recorded using bikes as mobile platform to identify spatial pollution patterns and attribute DP spectra to particular emission sources.
Název v anglickém jazyce
Mobile measurements for distribution and attribution of particulate matter in urban environments
Popis výsledku anglicky
Particulate matter (PM) sources differ in urban environments and may show spatiotemporal distinct patterns for varying particle aerodynamic diameters (D-P). We here assess such patterns using high-resolution PM <= 10 mu m 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 similar to 6000 times higher particle numbers at D-P 0.22-0.25 mu m compared to D-P 4-5 mu m. Total mass concentration is bi-modally distributed and dominated by particles <0.3 mu m and from 3 to 5 mu m 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 D-P 3-5 mu m in the urban compared to the rural sectors, which is indicative for road dust, brake and tyre abrasion as the main source. D-P distribution in rural hotspots is generally shifted toward larger particles >3 mu m, most likely related to natural dust from agricultural fields. These findings show that highresolution PM profiles can skillfully be recorded using bikes as mobile platform to identify spatial pollution patterns and attribute DP spectra to particular emission sources.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10509 - Meteorology and atmospheric sciences
Návaznosti výsledku
Projekt
<a href="/cs/project/EF16_019%2F0000797" target="_blank" >EF16_019/0000797: SustES - Adaptační strategie pro udržitelnost ekosystémových služeb a potravinové bezpečnosti v nepříznivých přírodních podmínkách</a><br>
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Atmospheric Environment
ISSN
1352-2310
e-ISSN
1873-2844
Svazek periodika
315
Číslo periodika v rámci svazku
DEC
Stát vydavatele periodika
GB - Spojené království Velké Británie a Severního Irska
Počet stran výsledku
10
Strana od-do
120164
Kód UT WoS článku
001105339600001
EID výsledku v databázi Scopus
2-s2.0-85175042674