Výsledky vyhledávání

0586591 - ÚI 2025 DE eng J - Článek v odborném periodiku
Wolf T. - Pettersson, L. H. - Esau, I.
Dispersion of particulate matter (PM2.5) from wood combustion for residential heating: optimization of mitigation actions based on large-eddy simulations.
Atmospheric Chemistry and Physics. Roč. 21, č. 16 (2021), s. 12463-12477. ISSN 1680-7316. E-ISSN 1680-7324
Grant CEP: GA TA ČR(CZ) TO01000219
Klíčová slova: air quality * urban meteorology * LES * PALM * particulate matter * residential heating
Obor OECD: Meteorology and atmospheric sciences
Impakt faktor: 7.197, rok: 2021
Způsob publikování: Open access
https://doi.org/10.5194/acp-21-12463-2021
Trvalý link: https://hdl.handle.net/11104/0354044

0586307 - ÚI 2025 RIV eng V - Výzkumná zpráva
Patiño, W. - Vlček, O. - Bauerová, P. - Belda, M. - Bureš, M. - Eben, Kryštof - Fuka, V. - Geletič, Jan - Jareš, R. - Karel, J. - Keder, J. - Krč, Pavel - Radović, J. - Řezníček, Hynek - Šindelářová, A. - Resler, Jaroslav
On the Suitability of Dispersion Models of Varying Degree of Complexity for Air Quality Assessment and Urban Planning.
Social Science Research Network, 2024. 34 s. SSRN Papers, 4822006.
Grant CEP: GA TA ČR(CZ) TO01000219; GA TA ČR(CZ) SS02030031
Institucionální podpora: RVO:67985807
Klíčová slova: dispersion modeling * Particulate Matter * Air Pollution * urban climate * micro-scale * air quality assessment * street canyon * PALM * LES model * GRAL * Lagrangian model * ATEM * Gaussian model
Obor OECD: Meteorology and atmospheric sciences
https://doi.org/10.2139/ssrn.4822006
Trvalý link: https://hdl.handle.net/11104/0353861

0585707 - ÚI 2025 RIV DE eng V - Výzkumná zpráva
Resler, Jaroslav - Bauerová, P. - Belda, M. - Bureš, Martin - Eben, Kryštof - Fuka, V. - Geletič, Jan - Jareš, R. - Karel, J. - Keder, J. - Krč, Pavel - Patiño, W. - Radović, J. - Řezníček, Hynek - Sühring, M. - Šindelářová, A. - Vlček, O.
Challenges of high-fidelity air quality modeling in urban environments – PALM sensitivity study during stable conditions.
München: Europen Geosciences Union, 2024. 35 s. EGUsphere Preprints, 2024-1231.
Grant CEP: GA TA ČR(CZ) TO01000219
Výzkumná infrastruktura: e-INFRA CZ II - 90254
Institucionální podpora: RVO:67985807
Klíčová slova: large-eddy simulation * PALM * urban climate * air quality * ventilation * sensitivity
Obor OECD: Meteorology and atmospheric sciences
https://doi.org/10.5194/egusphere-2024-1231
Trvalý link: https://hdl.handle.net/11104/0353410

0585437 - ÚI 2025 RIV CH eng L2 - Specializované mapy
Geletič, Jan - Bauerová, P. - Belda, M. - Bureš, Martin - Eben, Kryštof - Fuka, V. - Jareš, R. - Karel, J. - Krč, Pavel - Patiño, W. - Radović, J. - Resler, Jaroslav - Řezníček, Hynek - Vlček, O.
Maps of the detailed spatially and temporally attributed emission for area of Legerova and Sokolska (TURBAN-D18).
Interní kód: TURBAN-D18 ; 2024
Technické parametry: Each selected epizode (s1-s6) has three subfolders; input files in ASCII (output-ascii) or GeoTiff (output-gis) formats that can be viewed in many GIS applications. In the third subfolder are maps in the PNG format (output-png). Each subfolder includes 4 subfolders with emissions summarized in all layers above ground. Variable vsrc_PM10 is the concentration of volume source emissions (VSRC) of the PM10, vsrc_PM25 is the concentration of PM2.5, vsrc_NO is the concentration of NO and vsrc_NO2 is the concentration of NO2. Each file (PRJ, TIF, ASC or PNG) has the same nomenclature. An example (vsrc_NO_abs-01h_20220717_1200-1300.png) could be parsed as: variable name (vsrc_NO), processed input (abs-01h), date (20220717) and period (1200-1300). So, the result is a map with emission fluxes of NO between 12:00 and 13:00 UTC 24 Jul 2019.
Ekonomické parametry: This dataset contains six folders with maps of input data for simulations published in project TURBAN as result D17 (see https://zenodo.org/records/10982836). Each folder contains air quality inputs for the so-called Legerova domain, an area in the city of Prague, Czech Republic, centred around the traffic-heavy streets Legerova and Sokolská. They are the first outputs in a similar level of detail simulated using LES and freely available for state administration. It is available under CC BY 4.0 Licence.
Grant CEP: GA TA ČR(CZ) TO01000219
Institucionální podpora: RVO:67985807
Klíčová slova: air quality * air pollution * GIS
Obor OECD: Meteorology and atmospheric sciences
https://doi.org/10.5281/zenodo.10993880
Trvalý link: https://hdl.handle.net/11104/0353146

0585235 - ÚI DATA Vědecká data      2024
Geletič, Jan - Bauerová, P. - Belda, M. - Bureš, Martin - Eben, Kryštof - Fuka, V. - Karel, J. - Keder, J. - Krč, Pavel - Jareš, R. - Patiño, W. - Radović, J. - Resler, Jaroslav - Řezníček, Hynek - Šindelářová, A. - Vlček, O.

Scenarios simulations of Prague (D05).

Popis: Basic information
This dataset contains simulation results for the so-called Holešovičky domain, an area in the city of Prague, Czech Republic, expected to undergo major traffic infrastructure changes in the near future. Three scenarios were modelled: current infrastructure with traffic intensity projections for 2023 (C1), future outlook with a finished part of city inner ring-road in 2030 (C2) and effect of finishing the northern part of the Prague outer ring-road (C3), which will decrease heavy traffic in the domain. Note that all scenarios have slightly different landcover (trees, buildings, bridges, tunnels etc.), so there could be small areas containing NA values in the maps and GIS files. All times are in UTC (local time, CEST is UTC +02:00).

For more detailed description of the experiments see the TURBAN project website at https://www.project-turban.eu/.

General organisation
Each scenario has two folders; post-processed results from the PALM model as averaged ASCII files that can be viewed in many GIS applications (output-gis) and maps in the PNG format (output-png). Each variable was averaged from original 10min values to 1, 3 and 24-hour averages. The C1 scenario was used as a baseline. In addition to that, also differences for all variables were calculated for the scenarios C2 and C3. In total, the C1 scenario has 3 subfolders with absolute values (prefix abs), the scenarios C2 and C3 have 6 (3 with absolute values and 3 with differences; prefix diff).

Modelled variables
Each subfolder includes 7 subfolders with variables. Variable bio_mrt is the Mean Radiant Temperature (MRT), bio_pet is the Physiological Equivalent Temperature (PET), bio_utci is the Universal Thermal Climate Index (UTCI), kc_PM10_02m is the concentration of PM10 at 2m above ground, theta_2m is the potential temperature at 2m above ground, tsurf is the surface temperature and wspeed_10m is the wind speed at 10m above ground.

File nomenclature
Each file (PRJ or ASC, PNG) has the same nomenclature. An example (bio_utci_abs-01h_20190724_1200-1300.png) could be parsed as: variable name (bio_utci), processed output (abs-01h), date (20190724) and averaged period (1200-1300). So, the result is a map with hourly averaged UTCI for 24 Jul 2019 between 12:00 and 13:00 UTC.

Important note
During the processing phase a few potentially important problems were identified and need to be analysed in detail. One of them are extremely overestimated concentrations due to stable conditions from boundary condition inputs. In certain situations it can happen that the best regional meteorological model can provide inappropriate input conditions for some episode. This needs to be checked in detail before any following interpretation.
Klíčová slova: air quality * thermal comfort * micro-scale * CFD modeling * cities
Obor OECD: Meteorology and atmospheric sciences
Trvalý link: https://hdl.handle.net/11104/0353007
Vkladatel: admin
Datum publikování: 17.4.2024