Výsledky vyhledávání

  1. 1.
    0588505 - ÚI 2025 RIV GB eng J - Článek v odborném periodiku
    Patiño, W. - Vlček, O. - Bauerová, P. - Belda, M. - Bureš, Martin - 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.
    Building and Environment. Roč. 264, October 2024 (2024), č. článku 111892. ISSN 0360-1323. E-ISSN 1873-684X
    Grant CEP: GA TA ČR(CZ) TO01000219; GA TA ČR(CZ) SS02030031
    Výzkumná infrastruktura: e-INFRA CZ II - 90254
    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
    Impakt faktor: 7.1, rok: 2023
    Způsob publikování: Open access
    https://doi.org/10.1016/j.buildenv.2024.111892
    Trvalý link: https://hdl.handle.net/11104/0355377
    Název souboruStaženoVelikostKomentářVerzePřístup
    0588505-oafin.pdf08.9 MBOA CC BY 4.0Vydavatelský postprintpovolen
     
     
  2. 2.
    0587512 - ÚEM 2025 RIV DE eng J - Článek v odborném periodiku
    Jiřík, V. - Machaczka, O. - Riedlová, P. - Kramná, D. - Siemiatkowski, G. - Osrodka, L. - Krajny, E. - Ambrož, Antonín - Topinka, Jan - Rössner ml., Pavel
    The effect of air pollution on selected immune system parameters, 8-isoprostane, and alpha-1-antitrypsin of people living in environmentally distinct regions.
    Environmental Sciences Europe. Roč. 36, č. 1 (2024), č. článku 125. ISSN 2190-4707. E-ISSN 2190-4715
    Grant CEP: GA MŠMT(CZ) EF16_019/0000798
    Institucionální podpora: RVO:68378041
    Klíčová slova: long-term exposure to air pollution * immunoglobulins * interleukins * 8-Isoprostane * alpha-1-antitrypsin
    Obor OECD: Public and environmental health
    Impakt faktor: 6, rok: 2023
    Způsob publikování: Open access
    https://enveurope.springeropen.com/articles/10.1186/s12302-024-00948-z
    Trvalý link: https://hdl.handle.net/11104/0354665
     
     
  3. 3.
    0587440 - ÚFA 2025 RIV NL eng J - Článek v odborném periodiku
    Chen, G. - Guo, Y. - Yue, X. - Xu, R. - Yu, W. - Ye, T. - Tong, S. - Gasparrini, A. - Bell, M.L. - Armstrong, B. - Schwartz, J. - Jaakkola, J.J.K. - Lavigne, E. - Saldiva, P. H. N. - Kan, H. - Royé, D. - Urban, Aleš - Vicedo-Cabrera, A.M. - Tobias, A. - Forsberg, B. - Sera, F. - Lei, Y. - Abramson, M.J. - Li, S.
    All-cause, cardiovascular, and respiratory mortality and wildfire-related ozone: a multicountry two-stage time series analysis.
    Lancet Planetary Health. Roč. 8, č. 7 (2024), e452-e462. ISSN 2542-5196. E-ISSN 2542-5196
    Grant CEP: GA ČR(CZ) GA22-24920S
    Institucionální podpora: RVO:68378289
    Klíčová slova: fine particulate matter * air pollution * health * exposure * smoke * transport * visits * impact * range * China
    Obor OECD: Climatic research
    Impakt faktor: 24.1, rok: 2023
    Způsob publikování: Open access
    https://www.sciencedirect.com/science/article/pii/S2542519624001177?via%3Dihub
    Trvalý link: https://hdl.handle.net/11104/0354646
    Název souboruStaženoVelikostKomentářVerzePřístup
    0587440_LancetPlanHealth_Urban_2024.pdf01.4 MBVydavatelský postprintvyžádat
     
     
  4. 4.
    0587401 - ÚEM 2025 RIV GB eng J - Článek v odborném periodiku
    Pařízek, O. - Závodná, Táňa - Milcová, Alena - Drábová, L. - Stupák, M. - Gomersall, V. - Schmuczerová, J. - Jiřík, V. - Topinka, Jan - Pulkrabová, J.
    Personal exposure monitoring to polycyclic aromatic hydrocarbons bound to size-segregated aerosol.
    Atmospheric Pollution Research. Roč. 15, č. 6 (2024), č. článku 102122. ISSN 1309-1042. E-ISSN 1309-1042
    Grant CEP: GA MŠMT(CZ) EF16_019/0000798
    Institucionální podpora: RVO:68378041
    Klíčová slova: air pollution * PAHs * particulate matter * personal exposure monitoring * risk assessment
    Obor OECD: Public and environmental health
    Impakt faktor: 3.9, rok: 2023
    Způsob publikování: Open access
    https://linkinghub.elsevier.com/retrieve/pii/S1309104224000874
    Trvalý link: https://hdl.handle.net/11104/0354582
     
     
  5. 5.
    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
     
     
  6. 6.
    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
     
  7. 7.
    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
     
  8. 8.
    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
     
     
  9. 9.
    0582006 - ÚEM 2024 RIV NL eng J - Článek v odborném periodiku
    Saveleva, L. - Šíma, Michal - Kléma, J. - Krejčík, Zdeněk - Vartiainen, N. - Sitnikova, V. - Belaya, I. - Malm, T. - Jalava, P.I. - Rössner st., Pavel - Kanninen, K. M.
    Transcriptomic alterations in the olfactory bulb induced by exposure to air pollution: Identification of potential biomarkers and insights into olfactory system function.
    Environmental Toxicology and Pharmacology. Roč. 104, nov. (2023), č. článku 104316. ISSN 1382-6689. E-ISSN 1872-7077
    Grant CEP: GA MŠMT(CZ) LM2018124; GA MŠMT(CZ) LM2018133; GA MŠMT(CZ) EF16_013/0001821
    Institucionální podpora: RVO:68378041
    Klíčová slova: air pollution * ultrafine particles (UFP) * brain * olfactory bulb * odorant-binding protein (OBP) * myelin protein zero (Mpz)
    Obor OECD: Public and environmental health
    Impakt faktor: 4.2, rok: 2023
    Způsob publikování: Open access
    https://www.sciencedirect.com/science/article/pii/S1382668923002582?via%3Dihub
    Trvalý link: https://hdl.handle.net/11104/0350728
     
     
  10. 10.
    0581757 - ÚEM 2024 RIV NL eng J - Článek v odborném periodiku
    Mussalo, L. - Avesani, S. - Shahbaz, M. A. - Závodná, Táňa - Saveleva, L. - Järvinen, A. - Lampinen, R. - Belaya, I. - Krejčík, Zdeněk - Ivanová, M. - Hakkarainen, H. - Kalapudas, J. - Penttilä, E. - Löppönen, H. - Koivisto, A.M. - Malm, T. - Topinka, Jan - Giugno, R. - Aakko-Saksa, P. - Chew, S. - Ronkkoj, T. - Jalava, P. - Kanninen, K.M.
    Emissions from modern engines induce distinct effects in human olfactory mucosa cells, depending on fuel and aftertreatment.
    Science of the Total Environment. Roč. 905, dec. (2023), č. článku 167038. ISSN 0048-9697. E-ISSN 1879-1026
    GRANT EU: European Commission(XE) 814978 - TUBE
    Institucionální podpora: RVO:68378041
    Klíčová slova: air pollution * traffic emissions * ultrafine particles (UFP) * RNA-Seq
    Obor OECD: Public and environmental health
    Impakt faktor: 8.2, rok: 2023
    Způsob publikování: Open access
    https://www.sciencedirect.com/science/article/pii/S0048969723056632?via%3Dihub
    Trvalý link: https://hdl.handle.net/11104/0350722
     
     

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