i-manager Publications

Assessment of Noise Environment in Cardiac Hospital – A Case Study for an Indian City

Idris Ahmed*, Ajay R. Tembhurkar**

* Research Scholar, Department of Civil Engineering, Visvesvaraya National Institute of Technology, Nagpur, India.

** Head of the Department, Department of Civil Engineering, Visvesvaraya National Institute of Technology, Nagpur, India.

Periodicity:May - July'2014
DOI : https://doi.org/10.26634/jfet.9.4.2746

Abstract

Assessment of impact of noise on sensitive area especially in hospital environment has become most crucial concern in the recent time. Cardiac patients are one of the most sensitive and worst affected due to noise pollution. A study is therefore conducted on 100 beds cardiac hospital with a focus to assess the noise level in the hospital environment. A 16- hours sound measurement study is done using sound level meter (DAWE Model No. 1421C) to ascertain the noise level. The results indicate that the noise levels exceeded the limit of noise level prescribed by the authority. There is a significant difference (p < 0.05) spatially and temporally, in the noise exposure levels at various locations within the hospital premises. Sound pressure levels (dBA) were measured at 30 minutes intervals in the vicinity of a hospital environment. The resultant time series is analyzed using the Auto Regressive Integrated Moving Averages (ARIMA) modeling technique. The time series is found to be non stationary. After first differencing, the transformed series becomes stationary and is found to be governed by a moving average process of order 1.

Keywords

Noise Pollution, Cardiac Hospital, Noise Indices, A- Weighted Level, Hospital Environment, ARIMA.

How to Cite this Article?

Ahmed, I., and Tembhurkar, A. R. (2014). Assessment Of Noise Environment In Cardiac Hospital - A Case Study For An Indian City. i-manager’s Journal on Future Engineering and Technology, 9(4), 32-41. https://doi.org/10.26634/jfet.9.4.2746

References

[1]. Ahmed J, Abbas A, Reem S (2006). Evaluation of traffic noise pollution. Journal of Environmental Monit. and Assess, 120: 499-525.

[2]. Box G E P, Jenkins G M, (1976). Time series analysis forecasting and control. San Francisco: Holden Day.

[3]. C.P.C.B. (2000). Ambient Air Quality in Respect of Noise. Central Pollution Control Board Schedule-Part II: Sec 3.

[4]. Gulab S T (2006) A Study of Noise around an Educational Institutional Area. Journal of Environ. Science & Engg 48 (1): 35-38.

[5]. Hilton B A (1985) Noise in acute patient care areas. Res Nurs Health 8: 283-291.

[6]. Kumar K, Jain V K, (1999) Autoregressive integrated moving averages (ARIMA) modeling of a traffic noise time series. Journal of Applied Acoustics 58: 283-294.

[7]. Lipson C, Seth N J (1973) Statistical design and analysis of engineering. New York: Mc Graw-Hill 68: 59-82.

[8]. Neriman A, Senay K (2008) Effects of intensive care unit noise on patients: a study on coronary artery bypass graft surgery patients, Journal of Clinical Nursing 17 (12): 1581–1590.

[9]. Mackenzie D J, Galburn L (2007) Noise levels and noise sources in acute care hospital wards. Building Serv. Eng. Res. Technol. 28(2): 117-131.

[10]. Narendra S, Davar S C (2004) Noise Pollution Source, Effects and Control. J. Hum. Ecol 16(3): 181-187.

[11]. Ohrstrom E, Shanberg A, Svensson H, Gidlof –Gunnarsson A (2006) Effects of road traffic noise and the benefit of access to quietness. Journal of Sound & Viberation 295: 40-59.

[12]. Olayinka S, Saadu A et al (2010) Evaluation and analysis of noise levels in IIorin metropolis, Nigeria. Journal of Environmental Monit. and Assess, 160: 563-577.

[13]. Serkan O, Irmak M A, Hasan Y (2008) Determination of roadside noise reduction effectiveness of Pinus sylvestris L. Populus nigra L. in Erzurum, Turkey. Journal of Environ Monit Assess 144: 1-7.

[14]. Tsion C, Eftymiatos D, Theodossopoulou E, Notis P, Kiriakou K (1998) Noise sources and levels in the Evgenidion Hospital intensive care unit. Journal of Intensive Care Med. 24: 845-847.

[15]. Ayr U, Cirillo E, Fato I, Martellotta F (2003) A new approach to assessing the performance of noise indices in buildings. Journal of Applied Acoustics 64: 129–145.

[16]. Zhang B, Shi L, Guoqing D (2003) The influence of the visibility of the source on the subjective annoyance due to its Noise. Journal of Applied Acoustics 64:1205–1215.

If you have access to this article please login to view the article or kindly login to purchase the article

Single Article

	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Online	15	15

ADD TO CART

Options for accessing this content:

If you would like institutional access to this content, please recommend the title to your librarian.
If you already have i-manager's user account: Login above and proceed to purchase the article.
New Users: Please register, then proceed to purchase the article.