Výsledky vyhledávání

  1. 1.
    0585526 - ÚI 2025 RIV CH eng L2 - Specializované mapy
    Esau, I. - Miles, V. - Bureš, Martin - Resler, Jaroslav - Eben, Kryštof
    Scenarios simulations of Bergen (TURBAN - D06).
    Interní kód: TURBAN - D06 ; 2024
    Grant CEP: GA TA ČR(CZ) TO01000219
    Institucionální podpora: RVO:67985807
    Klíčová slova: large-eddy simulations * PALM modeling system * air quality * micro-meteorology
    Obor OECD: Meteorology and atmospheric sciences
    https://doi.org/10.5281/zenodo.11045535
    Trvalý link: https://hdl.handle.net/11104/0353206
     

    Vědecká data: Zenodo.org
     
  2. 2.
    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
     

    Vědecká data: Zenodo.org
     
  3. 3.
    0585436 - 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 simulations and observations (TURBAN-D17).
    Interní kód: TURBAN-D17 ; 2024
    Technické parametry: General organisation: Each selected epizode (s1-s6) has three folders; post-processed results from the PALM model as averaged ASCII (output-ascii) or GeoTiff (output-gis) files that can be viewed in many GIS applications and maps in the PNG format (output-png). Each variable was averaged from original 10min values to 1 and 24-hour averages. Modelled variables: Each subfolder includes 3 subfolders with variables. Variable bio_pet is the Physiological Equivalent Temperature (PET), bio_utci is the Universal Thermal Climate Index (UTCI) and kc_PM10 is the concentration of PM10 at 3m above ground. Episodes s4 and s6 includes 3 more subfolders: kc_NO is the concentration of NO, kc_NO2 is the concentration of NO2 and kc_PM25 is the concentration of PM2.5 at 3m above ground. File nomenclature: Each file (PRJ, TIF, ASC or 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 overall best regional meteorological model can provide inappropriate input conditions for some episode. This needs to be checked in detail before any following interpretation. The issue will be addressed in an upcoming manuscript that will be available through the project website.
    Ekonomické parametry: This dataset contains two folders; in output-measurements are daily averaged TURDATA (see https://zenodo.org/records/10655033) results for air quality measurements. In folder output-simulations contains simulation results for the so-called Legerova domain, an area in the city of Prague, Czech Republic, centered around the traffic-heavy streets Legerova and Sokolská. This is the first output 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 * LES modeling * PALM * thermal comfort * UTCI * PET * biometeorology
    Obor OECD: Meteorology and atmospheric sciences
    https://doi.org/10.5281/zenodo.10982836
    Trvalý link: https://hdl.handle.net/11104/0353145
     

    Vědecká data: Zenodo.org
     
  4. 4.
    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
     
     
    Licence:
    Uveďte původ Mezinárodní licence
     
    ÚložištěPřístupKomentář
    Zenodo.orgpovolen
    Grant CEP: GA TA ČR(CZ) TO01000219
    Institucionální podpora: RVO:67985807
  5. 5.
    0585230 - ÚI 2025 RIV CH eng M - Část monografie knihy
    Geletič, Jan - Belda, M. - Bureš, Martin - Krč, Pavel - Lehnert, M. - Resler, Jaroslav - Řezníček, Hynek
    Complex Micro-meteorological Effects of Urban Greenery in an Urban Canyon: A Case Study of Prague-Dejvice, Czech Republic.
    Nature-based Solutions for Circular Management of Urban Water. Cham: Springer, 2024 - (Stefanakis, A.; Oral, H.; Calheiros, C.; Carvalho, P.), s. 391-404. ISBN 978-3-031-50724-3
    Grant CEP: GA TA ČR(CZ) TO01000219
    Grant ostatní: AV ČR(CZ) StrategieAV21/23
    Program: StrategieAV
    Výzkumná infrastruktura: e-INFRA CZ - 90140
    Institucionální podpora: RVO:67985807
    Klíčová slova: Large-eddy simulation * PALM * Mitigation * Tree planting * Air pollution * Meteorology
    Obor OECD: Meteorology and atmospheric sciences
    https://doi.org/10.1007/978-3-031-50725-0_22
    Trvalý link: https://hdl.handle.net/11104/0352999
     
     
  6. 6.
    0585178 - ÚI DATA Vědecká data      2024
    Bauerová, P. - Šindelářová, A. - Keder, J. - Vlček, O. - Patiño, W. - Resler, Jaroslav - Krč, Pavel - Řezníček, Hynek - Geletič, Jan - Bureš, Martin - Eben, Kryštof - Belda, M. - Radović, J. - Fuka, V. - Jareš, R. - Ezau, I.

    TURDATA: a database of low-cost air quality and remote sensing measurements for the validation of micro-scale models in the real Prague urban environments.

    Popis: TURDATA is a supplementary data set for the TURBAN project Prague observation campaign described in the manuscript Bauerová et al. 2024 (submitted for publication). The measurement campaign focused on air pollution and meteorological measurement, including vertical profiles in selected part of Prague city centre called here as Legerova domain. Within this area, one professional meteorological station (MS) Prague Karlov and one reference traffic air quality monitoring (AIM) station Prague 2-Legerova (classified as traffic hotspot) are located. To gain high spatial and temporal resolution data, the supplementary measurement network was established, which consisted of:
    - 20 combined low-cost sensor (LCS) stations for monitoring of PM10, PM2.5, NO2 and O3 concentrations (using Plantower PMS7003 particle counters and Envea Cairsense electrochemical sensors) placed in different sites and different height levels AGL (higher = H, lower = L),
    - 1 mobile telescopic meteorological mast for measuring temperature, relative humidity, wind velocity and direction and air pressure (using 2D ultrasonic anemometer Gill WindSonic 60 and weather station Gill MetConnect THP),
    - 1 MTP-5-He microwave radiometer (MWR; Attex) for temperature vertical profile,
    - 1 StreamLine XR Doppler LIDAR (HALO Photonics) for wind vertical profile.
    Klíčová slova: air quality * monitoring * low-cost sensor network * street * LIDAR
    Obor OECD: Meteorology and atmospheric sciences
    Trvalý link: https://hdl.handle.net/11104/0352954
    Vkladatel: admin
    Datum publikování: 16.4.2024
     
     
    Licence:
    Uveďte původ Mezinárodní licence
     
    ÚložištěPřístupKomentář
    Zenodo.orgpovolen
    Grant CEP: GA TA ČR(CZ) TO01000219
    Institucionální podpora: RVO:67985807
  7. 7.
    0585150 - ÚVGZ 2025 RIV NL eng J - Článek v odborném periodiku
    Mwangi, J.K. - Degrendele, C. - Bandowe, B.A.M. - Bohlin-Nizzetto, P. - Halse, A.K. - Šmejkalová, A. H. - Kim, J. - Kukučka, P. - Martiník, J. - Nežiková, B. - Přibylová, P. - Prokeš, Roman - Sáňka, M. - Tannous, M. - Vinkler, J. - Lammel, G.
    Air-soil cycling of oxygenated, nitrated and parent polycyclic aromatic hydrocarbons in source and receptor areas.
    Science of the Total Environment. Roč. 921, APR (2024), č. článku 170495. ISSN 0048-9697. E-ISSN 1879-1026
    Grant CEP: GA MŠMT(CZ) LM2023030
    Institucionální podpora: RVO:86652079
    Klíčová slova: semivolatile organic-compounds * dispersion model flexpart * organochlorine pesticides * particulate matter * background soils * atmospheric deposition * containing derivatives * carbonaceous aerosol * rural-areas * ambient air * Polycyclic aromatic compounds * Soil fugacity * Aerosol * Long-range atmospheric transport * Grasshopper effect
    Obor OECD: Environmental sciences (social aspects to be 5.7)
    Impakt faktor: 9.8, rok: 2022
    Způsob publikování: Omezený přístup
    https://www.sciencedirect.com/science/article/pii/S0048969724006326?via%3Dihub
    Trvalý link: https://hdl.handle.net/11104/0352890
     
     
  8. 8.
    0584219 - ÚFP 2024 RIV GB eng M - Část monografie knihy
    Deshmukh, S. A. - Barmavatu, P. - Das, M. K. - Naik, B. K. - Sikarwar, Vineet Singh - Shivakrishna, A. - Aepuru, R. - Subash, R.
    Advances in Solar-Driven Air-Conditioning Systems for Buildings.
    Pragmatic Engineering and Lifestyle: Responsible Engineering for a Sustainable Future. Bradford: Emerald Publishing, 2023, s. 39-60. ISBN 978-1-80262-998-9
    Institucionální podpora: RVO:61389021
    Klíčová slova: cooling technologies * green HFC-free refrigerant * solar adsorption air-conditioning system * Solar-driven air-conditioning systems * solar-powered heating systems * vapor compression system
    Obor OECD: Applied mechanics
    https://www.emerald.com/insight/content/doi/10.1108/978-1-80262-997-220231003/full/html
    Trvalý link: https://hdl.handle.net/11104/0352184
     
     
  9. 9.
    0582760 - ASÚ 2025 RIV NL eng J - Článek v odborném periodiku
    Aksen, U. - Göker, Ümit Deniz - Timocin, E. - Akcay, C. - İpek, G.
    The effect of geomagnetic storms on aircraft accidents between the years 1919-2023 in civil aviation.
    Advances in Space Research. Roč. 73, č. 1 (2024), s. 807-830. ISSN 0273-1177. E-ISSN 1879-1948
    Institucionální podpora: RVO:67985815
    Klíčová slova: air crash investigations * civil aviation * geomagnetic storms
    Obor OECD: Astronomy (including astrophysics,space science)
    Impakt faktor: 2.6, rok: 2022
    Způsob publikování: Omezený přístup
    https://doi.org/10.1016/j.asr.2023.11.008
    Trvalý link: https://hdl.handle.net/11104/0353127
     
     
  10. 10.
    0582750 - ÚSP 2024 RIV CZ cze B - Monografie kniha jako celek
    Simon, Rita - Fleischhans, M.
    Uzdrav příšerku. Zlepšení kvality ovzduší a snižování emisí u osobních vozidel.
    [Healthy Car - Improving Air Quality and Reducing emissions from passenger vehicles.]
    Praha: Ústav státu a práva AV ČR, 2023. 69 s. ISBN 978-80-87439-63-0
    Grant ostatní: Státní fond životního prostředí ČR(CZ) 3201400125
    Institucionální podpora: RVO:68378122
    Klíčová slova: urban air quality * vehicle emission * technical condition of vehicles * legislative amendments
    Obor OECD: Law
    Trvalý link: https://hdl.handle.net/11104/0350827
     
     

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