Mathematical Analysis on the Physiological effects of Noise

Ashwini M Rao; Basavarajappa K S; Sathisha A B; Katiyar V K

doi:https://doi.org/10.14445/22315373/IJMTT-V66I6P506

International Journal of Mathematics Trends and Technology

Research Article | Open Access | Download PDF

Volume 66 | Issue 6 | Year 2020 | Article Id. IJMTT-V66I6P506 | DOI : https://doi.org/10.14445/22315373/IJMTT-V66I6P506

Mathematical Analysis on the Physiological effects of Noise

Ashwini M Rao, Basavarajappa K S, Sathisha A B, Katiyar V K

Abstract

Mathematical analysis on the effects of human health due to traffic noise is explained in the present paper. Locations at various noisy zones have been indentified to adopt few individuals response due to longer exposure to the traffic noise. The study is aimed at computing the variations of physiological parameters due to noise effects. These effects are mainly studied as velocity of blood flow at constricted location in the human artery, the flux of the flow, wall shear stress, pressure gradient are calculated for various noise data recorded on NH-4. The study is focussed to estimate the changes in systolic and diastolic blood pressures due to this constriction. The constriction ( narrowing of the artery) is alos due to the longer period exposure to the noise at the level (≥ 65dB (A)). The encountered effects are noticed at greater than 80-100dB (A) levels causing the vibrational energy into cochlea of the ear. The prolonged noise exposure gives the change in physiological condition mainly the threshold shift in the diastolic blood pressure as 9mm Hg which becomes the permanent onset of diastolic blood pressure. The model consists of analytical formulations for equations of motion and analytical solutions have been carried out ot copute the values of velocity, flux, wall shear stress, pressure gradient of blood flow in artery due to traffic noise effect.

Keywords

Noise, stress, Amplitude, Blood, Flow.

References

[1] Peterson E A, Augenstein J S, Tanis D C Augenstein D C [1981], „Noise raises blood pressure without impairing auditory sensitivity‟, Science, Vol. 211, 1450-1452.
[2] Ahrlin U and Ohrstrom [1978], „Medical effects of environmental noise on humans‟, J. Sound and Vibration, Vol. 59, No. 1, 79-87.
[3] Debasish Pal and Debasisn Bhattacharya, [2012], “Effect of road traffic noise pollution on human work efficiency in government offices, Private organizations and commercial business centres in Agartala city using Fuzzy expert system: A case study”, Hindawai publishing corporation, Advances in Fuzzy systems, volume 2012, article ID 828593, P 1-9.
[4] Adam Senetra, Agnieszka Szezepanska and Monika wasilewicz, [2014], “Traffic Noise as a factor driving apartment prices- A case study of a large Europian urban Agglomeration”, Acoustics Australia, Vol. 42, No.1, P 47-50.
[5] P B Vyas and J N Khatri, [2015], “Evaluation of the environmental noise level of Mehsana city and the study of sound absorption coefficient of wood of selected trees to control noise level”, Pollution Research, Vol. 34 (4), pp 779-781.
[6] Adrian Farcas, Paul M. Thompson, Nathan D. Merchant [2016], „Underwater noise modelling for environmental impact assessment‟, Environmental Impact Assessment Review 57 pp 114–122.
[7] Lvjiang Yin, Xinyu Li, Liang Gao, Chao Lu, Zhao Zhang [2017], „A novel mathematical model and multi-objective method for thelow-carbon flexible job shop scheduling problem‟, Sustainable Computing: Informatics and Systems 13, pp 15–30.
[8] Sujit Kumar De, Bijay Kumar Swain, Shreerup Goswami & Madhumita Das [2017]. “Adaptive noise risk modelling: fuzzy logic approach”. Systems Science & Control Engineering: An Open Access Journal, VOL. 5, NO. 1, 129–141
[9] Aditya Kamineni, Sunil Kumar Duda, Venkaiah Chowdary, C.S.R.K. Prasad[2019]. “Modelling Of Noise Pollution Due To Heterogeneous Highway Traffic In India”. Transport and Telecommunication, 2019, volume 20, no. 1, 22–39.
[10] Waldemar Paszkowski& MarcinSobiech [2019]. “The Modeling of the Acoustic Condition of Urban Environment Using Noise Annoyance Assessment”. Environmental Modeling & Assessment. Vol. 24:319–330.
[11] Xueqi Zhang, Meng Zhao, Rencai Dong [2020], „Time-Series Prediction of Environmental Noise for Urban IoT Based on Long Short-Term Memory Recurrent Neural Network‟. Appl. Sci. 2020, 10, 1144, pp.1-18.

Citation :

Ashwini M Rao, Basavarajappa K S, Sathisha A B, Katiyar V K, "Mathematical Analysis on the Physiological effects of Noise," International Journal of Mathematics Trends and Technology (IJMTT), vol. 66, no. 6, pp. 51-58, 2020. Crossref, https://doi.org/10.14445/22315373/IJMTT-V66I6P506