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Naslov:Fine particulate matter (PM2.5) exposure assessment among active daily commuters to induce behaviour change to reduce air pollution
Avtorji:ID Ilenič, Anja (Avtor)
ID Mauko Pranjić, Alenka (Avtor)
ID Zupančič, Nina (Avtor)
ID Milačič, Radmila (Avtor)
ID Ščančar, Janez (Avtor)
Datoteke:URL URL - Izvorni URL, za dostop obiščite https://www.sciencedirect.com/science/article/pii/S0048969723077471?via%3Dihub
 
.pdf PDF - Predstavitvena datoteka, prenos (2,57 MB)
MD5: 98184E1C7C65841CEB381FD39D3B3F9D
 
Jezik:Angleški jezik
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:Logo ZAG - Zavod za gradbeništvo Slovenije
Povzetek:Fine particulate matter (PM2.5), a detrimental urban air pollutant primarily emitted by traffic and biomass burning, poses disproportionately significant health risks at relatively limited exposure during commuting. Previous studies have mainly focused on fixed locations when assessing PM2.5 exposure, while neglecting pedestrians and cyclists, who often experience higher pollution levels. In response, this research aimed to independently validate the effectiveness of bicycle-mounted low-cost sensors (LCS) adopted by citizens, evaluate temporal and spatial PM2.5 exposure, and assess associated health risks in Ljubljana, Slovenia. The LCS quality assurance results, verified by co-location field tests by air quality monitoring stations (AQMS), showed comparable outcomes with an average percentage difference of 21.29 %, attributed to humidity-induced nucleation effects. The colder months exhibited the highest air pollution levels (μ = 32.31 μg/m3) due to frequent thermal inversions and weak wind circulation, hindering vertical air mixing and the adequate dispersion of pollutants. Additionally, PM2.5 levels in all sampling periods were lowest in the afternoon (μ = 12.09 μg/m3) and highest during the night (μ = 61.00 μg/m3) when the planetary boundary layer thins, leading to the trapping of pollutants near the surface, thus significantly affecting diurnal and seasonal patterns. Analysis of exposure factors revealed that cyclists were approximately three times more exposed than pedestrians. However, the toxicological risk assessment indicated a minimal potential risk of PM2.5 exposure. The collaborative integration of data from official AQMS and LCS can enhance evidence-based policy-making processes and facilitates the realignment of effective regulatory frameworks to reduce urban air pollution.
Ključne besede:air pollution monitoring, PM2.5 exposure, citizen science, bicycle-mounted low-cost sensors
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Datum objave:07.12.2023
Založnik:Elsevier
Leto izida:2023
Št. strani:str. 1-10
Številčenje:Vol. 912, [article no.] 169117
PID:20.500.12556/DiRROS-18022 Novo okno
UDK:54
ISSN pri članku:1879-1026
DOI:10.1016/j.scitotenv.2023.169117 Novo okno
COBISS.SI-ID:177134851 Novo okno
Avtorske pravice:© 2023 The Authors. Published by Elsevier B.V.
Opomba:Nasl. z nasl. zaslona; Opis vira z dne 12. 12. 2023;
Datum objave v DiRROS:30.01.2024
Število ogledov:707
Število prenosov:280
Metapodatki:XML DC-XML DC-RDF
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Gradivo je del revije

Naslov:Science of the total environment
Založnik:Elsevier
ISSN:1879-1026
COBISS.SI-ID:23110917 Novo okno

Gradivo je financirano iz projekta

Financer:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:P2-0273
Naslov:Gradbeni objekti in materiali

Financer:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:P1-0143
Naslov:Kroženje snovi v okolju, snovna bilanca in modeliranje okoljskih procesov ter ocena tveganja

Financer:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:P1-0008
Naslov:Paleontologija in sedimentarna geologija

Financer:Drugi - Drug financer ali več financerjev
Številka projekta:22368
Naslov:EIT Urban Mobility RIS HUB Slovenia
Akronim:RHSLO2022

Licence

Licenca:CC BY-NC-ND 4.0, Creative Commons Priznanje avtorstva-Nekomercialno-Brez predelav 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by-nc-nd/4.0/deed.sl
Opis:Najbolj omejujoča licenca Creative Commons. Uporabniki lahko prenesejo in delijo delo v nekomercialne namene in ga ne smejo uporabiti za nobene druge namene.
Začetek licenciranja:07.12.2023
Vezano na:Text and Data Mining valid from 2024-02-01 Version of Record valid from 2023-12-07

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