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Urban tidal flow noise - case study

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The study carried out an analysis of the urban traffic noise from 2011 to 2016 at Kielce (Poland). The results of noise simulations according to the Cnossos-EU model were compared with the sound level calculated by monitoring station and a very good agreement was obtained. The mean absolute error was smaller than 1 dB(A). For weekdays the charts shape at individual hours of the day were shown to be similar. However, one can notice a different shape of this charts from the morning peak on Friday to the end of the weekend and especially on Saturday and Sunday.
Rocznik
Strony
art. no. 2023119
Opis fizyczny
Bibliogr. 20 poz., fot. kolor., 1 mapa, wykr.
Twórcy
  • Kielce University of Technology, Faculty of Mechatronics and Mechanical Engineering, Aleja Tysiąclecia Państwa Polskiego 7, 25-314 Kielce, Poland
  • Kielce University of Technology, Faculty of Mechatronics and Mechanical Engineering, Aleja Tysiąclecia Państwa Polskiego 7, 25-314 Kielce, Poland
Bibliografia
  • 1. T. Ming et al.; Impacts of traffic tidal flow on pollutant dispersion in a non-uniform urban street canyon; Atmosphere, 2018, 9(3), 82; DOI: 10.3390/atmos9030082
  • 2. A. Bąkowski, L. Radziszewski; Measurements of urban traffic parameters before and after road reconstruction; Open Engineering, 2021, 11, 365-376; DOI: 10.1515/eng- 2021- 0035
  • 3. F. Crawford et al. ; A statistical method for estimating predictable differences between daily traffic flow profiles; Transportation Research Part B, 217, 95, 196-213; DOI: 10.1016/j.trb.2016.11.004
  • 4. A. Sfyridis, P. Agnolucci; Annual average daily traffic estimation in England and Wales: An application of clustering and regression modelling; Journal of Transport Geography, 2020, 83, 102658; DOI: 10.1016/j.jtrangeo.2020.102658
  • 5. S. Domazetovska, M. Anachkova, V. Gavriloski, Z. Petreski; Influence of the traffic flow in urban noise pollution; Proceedings of the Inter Noise, Seoul, South Korea, 23-26 August 2020
  • 6. R. Benocci, et al.; Reliability of DYNAMAP traffic noise prediction; App. Acoustics, 2019, 156, 142-150; DOI: 10.1016/j.apacoust.2019.07.004
  • 7. R. Sanchez-Sanchez, et al.; Noise monitoring networks as tools for smart city decision-making; Archives of Acoustics, 2018, 43(1), 103-112
  • 8. E. M. Salomons, M. B. Pont; Urban traffic noise and the relation to urban density, form, and traffic elasticity; Landscape and Urban Planning, 2012,108(1), 2-16; DOI:10.1016/j.landurbplan.2012.06.017
  • 9. P. Mioduszewski, et al.; Noise map validation by continuous noise monitoring; Applied Acoustics, 2011, 72(8), 582-589
  • 10. J. Warczek, et al.; R. Frequency analysis of noise generated by pneumatic wheels; Archives of Acoustics, 2017, 42(3), 459-467
  • 11. M. Smiraglia et al.; Predicting Hourly Traffic Noise from Traffic Flow Rate Model: Underlying Concepts for the DYNAMAP Project; Noise Mapp., 2016, 3: 130-139
  • 12. A. Bąkowski, L. Radziszewski; Analysis of the Traffic Parameters on a Section in the City of the National Road during Several Years of Operation; Communications - Scientific Letters of the University of Zilina, 2022, 24(1), A12-A25
  • 13. J. Wei et al., Urban Environmental Sound Monitoring Network Based on Combination of Mobile and Stationary Nodes; Proceedings of the 7th International Conference on Information Science and Control Engineering (ICISCE), Changsha, China, 2020, 1493-1498
  • 14. F. Ibili et al.; Traffic noise models and noise guidelines: A review; Noise and Vibration Worldwide, 2021, 53(1-2); DOI: 10.1177/09574565211052693
  • 15. X. Zhang et al.; Traffic Noise Prediction Applying Multivariate Bi-Directional Recurrent Neural Network; Appl. Sci., 2021, 11(6), 2714; DOI: 10.3390/app11062714
  • 16. L. Xiaodong et al.; Influence of urban road characteristics on traffic noise; Transportation Research Part D: Transport and Environment, 2019, 75, 136-155
  • 17. M. Amran et al.; Sound-Absorbing Acoustic Concretes: A Review; Sustainability 2021, 13(19),10712; DOI: 10.3390/su131910712
  • 18. D. J. Nair et al.; Characterizing multicity urban traffic conditions using crowdsourced data; PLOS ONE, 2019, 14(4), e0212845; DOI: 10.1371/journal.pone.0212845
  • 19. F. Orga at all; On the Impact of Anomalous Noise Events on Road Traffic Noise Mapping in Urban and Suburban Environments; Int. J. Environ. Res. Public Health, 2018, 15(1), 13; DOI: 10.3390/ijerph15010013
  • 20. J. Pietraszek et al.; Estimation of the quantitative uncertainty for the corrosion potential and corrosion current density; Proceedings of METAL - 27th Int. Conf. on Metallurgy and Materials, Brno, Czech Republic, 23-25 May, 2018, 1204-1209
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-3036e66b-02b2-4a8e-ae8b-7a6b78095b65
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