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Development of an hourly bottom-up emission inventory to assess air pollution dispersion with GRAMM/GRAL in complex terrain
ID
Dolšak Lavrič, Petra
(
Avtor
),
ID
Bec, Damijan
(
Avtor
),
ID
Ciglenečki, Don
(
Avtor
),
ID
Ogrin, Matej
(
Avtor
),
ID
Turšič, Janja
(
Avtor
),
ID
Stegnar, Gašper
(
Avtor
),
ID
Khan, Jibran
(
Avtor
),
ID
Kukec, Andreja
(
Avtor
)
PDF - Predstavitvena datoteka,
prenos
(3,14 MB)
MD5: 0AF0E461DACA82F04BD856A5B7789F5B
URL - Izvorni URL, za dostop obiščite
https://link.springer.com/article/10.1007/s11869-026-01992-9
Galerija slik
Izvleček
The detailed spatial and temporal emission inventory, prepared on an hourly basis and at a 250 × 250-meter grid, coupled with the local dispersion modeling system GRAMM/GRAL, helps to identify the impact of primary emission sources on air pollution. Our study was conducted in the complex subalpine city of Ljubljana. We prepared a detailed emission inventory for the most contributive sectors, which are industry, transport, small combustion, and agriculture for NOx, PM10, PM2.5, NMVOCs, and NH3 emissions in the year 2021. The total estimated annual emissions for Ljubljana were 1,935 tons of NOₓ, 393 tons of PM10, 315 tons of PM2.5, 1,847 tons of NMVOCs, and 168 tons of NH3. A comprehen sive uncertainty analysis was conducted to assess the reliability of the emission inventory. Results from the GRAMM/ GRAL dispersion model illustrate the spatial distribution of pollutants, which closely follows the geographical patterns of emission sources. Statistical comparison between modeled and observed concentrations indicates moderate agreement for PM10 and stronger agreement for NO2. Additionally, PMF analysis at the Vič monitoring station shows a consistent representation of primary emission sources compared with the model results. Overall, the results of this study improve understanding of atmospheric emission dynamics and provide a scientific basis for evidence-based decision-making aimed at reducing pollutant concentrations and protecting public health.
Jezik:
Angleški jezik
Ključne besede:
emission inventory
,
spatio-temporal distribution
,
complex terrain
,
air quality modelling
,
PMF receptor model
Vrsta gradiva:
Članek v reviji
Tipologija:
1.01 - Izvirni znanstveni članek
Geografsko pokritje:
Ljubljana (Slovenija ; regija);
Organizacija:
MF - Medicinska fakulteta
Status publikacije:
Objavljeno
Različica publikacije:
Objavljena publikacija
Leto izida:
2026
Št. strani:
20 str.
Številčenje:
vol. 19
PID:
20.500.12556/RUL-181935
UDK:
504.3.054 (497.451.1)
ISSN pri članku:
1873-9326
DOI:
10.1007/s11869-026-01992-9
COBISS.SI-ID:
275726339
Datum objave v RUL:
20.04.2026
Število ogledov:
45
Število prenosov:
9
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Objavi na:
Gradivo je del revije
Naslov:
Air quality, atmosphere & health
Založnik:
Springer Nature
ISSN:
1873-9326
COBISS.SI-ID:
517601817
Licence
Licenca:
CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:
http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:
To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
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