Modelling Noise Exposure by Means of Infrared Technology

• Autorzy: Fedorko Gabriel , Heinz Dávid , Molnár Vieroslav , Brenner Tomáš

Identyfikatory

DOI

10.12913/22998624/112683

• Języki publikacji: EN

Abstrakty

EN

Noise measurement for the design of anti-noise measures is used as a tool to identify and evaluate the existing noise situation. The measurements are carried out in the vicinity of selected roads to demonstrate the need for the design of anti-noise measures or to assess the effectiveness of the measures. Where the measurements are performed for the design, detection and assessment of the effectiveness of a noise protection measure in relation to the protection of public health, such measurements shall be carried out by a person holding a Certificate of Professional Qualification for Qualitative and Quantitative Verification of Environmental Factors to assess their potential impact on health – noise measurement. The paper presents the modelling of the noise exposure using the infrared technology in the given area and the simulation of measures on the main road routes of the model.

Słowa kluczowe

EN

noise exposure; simulation; infrared technology

PL

ekspozycja na hałas; symulacja; technologia podczerwieni

• Wydawca: Lublin University of Technology ; Polish Society of Ecological Engineering (PTIE), Branch of PTIE in Lublin
• Czasopismo: Advances in Science and Technology. Research Journal
• Rocznik: 2019
• Tom: Vol. 13, no 4
• Strony: 230--238
• Opis fizyczny: Bibliogr. 12 poz., fig., tab.

Twórcy

autor

Fedorko Gabriel

• Technical University of Košice, Faculty of Mining, Ecology, Process Control and Geotechnology Letná 9, 042 00 Košice, Slovak Republic

autor

Heinz Dávid

• Technical University of Košice, Faculty of Mining, Ecology, Process Control and Geotechnology Letná 9, 042 00 Košice, Slovak Republic

autor

Molnár Vieroslav

• Technical University of Košice, Faculty of Manufacturing Technologies with a seat in Prešov, Bayerova 1, 080 01 Prešov, Slovak Republic

autor

Brenner Tomáš

• Technical University of Košice, Faculty of Mining, Ecology, Process Control and Geotechnology Letná 9, 042 00 Košice, Slovak Republic

Bibliografia

• 1. Brenner T. Návrh a vizualizácia protihlukových opatrení v cestnej doprave. Diploma works in Slovak. Košice: TU FBERG, 2012, pp. 103.
• 2. Gozalo G.R., Escobar V.G., Morillas, J.M.B., Gonzalez, D.M. and Moraga P.A. Statistical attribution of errors in urbannoise modeling. Applied Acoustics 153, 2019, 20–29.
• 3. Xu YA., Zhu YM. and Qin ZK. Urban noise mapping with a crowd sensing system. Wireless networks 25, 2019, 2351–2364.
• 4. Paschalidou A.K., Kassomenos P., Chonianaki F. and Valkouma T. 3-year noise monitoring and strategic noise mapping in an extended motorway. Environmental science and pollution research 26, 2019, 15608–15616.
• 5. Bocher E., Guillaume G., Picaut J., Petit G. and Fortin N. Noise Modelling: Opensource GIS based tool to produce environmental noise maps. Isprs international journal of geo-information 8, 2019.
• 6. Ning X., Qi JY., Wu CL. and Wang WJ. Reducing noise pollution by planning construction site layout via a multi-objective optimization. Journal of cleaner production 222, 2019, 218–230.
• 7. Vasilyev A.V. Russian experience of transport noise estimation and mapping. Akustika 32, 2019, 105–109.
• 8. Alias F. and Alsina-Pages R.M. Review of wireless acoustics ensornet works for environmental noise monitoring smart cities. Journal of sensors 2019.
• 9. Benliay A., Ozyavuz M., Cabuk S. and Gunes M. Use of noise mapping techniques in urban landscape design. Journal of environmental protection and ecology 20, 2019, 113–122.
• 10. Van Renterghem T. and Botteldooren D. Landscaping for road traffic noise abatement: Model validation. Environmental modelling & software 109, 2018, 17–31.
• 11. Saran S., Oberai K., Wate P., Konde A., Dutta A., Kumar K. and Kumar A.S.Utilities of virtual 3D city models based on CityGml: various use cases. Journal of the indian society of remote sensing 46, 2018, 957–972.
• 12. Dostupné na internete: < https://www.researchgate.net/figure/Figure-Comparison-of-levels-of-noise_fig4_330561450> [Access: 2019–10–8].

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).