Traffic noise level predictions for buildings with windows opened for natural ventilation in urban environments

The aims of this research are to discuss acoustical building performance for natural ventilation systems and to predict traffic noise level for inhabitants residing in urban settlements. Natural ventilation systems use outdoor air to improve the quality of indoor environments and can reduce energy consumption. However, natural ventilation systems create an acoustical problem. For example, if windows are opened for natural ventilation, outdoor traffic noise can disrupt people working and sleeping in the building. In this study, a new method that combines an algorithm to predict traffic noise levels (calculation of road traffic noise) with the Federal Highway Administration Traffic Noise Model's vehicle noise spectra correctly predicts the properties of noise propagation and attenuation through openings in urban environments, as well as outdoor sound propagation, sound reduction index, and indoor sound transmission. In order to develop this method, various traffic noise prediction methods to calculate sound attenuation during propagation outdoors based on International Organization for Standardization 9613 were analyzed. This study also describes the noise attenuation effect from surrounding elements, such as building envelope, location of openings, opening ratio, and indoor boundary conditions. The results of the simulations indicate that the integrated noise evaluation method can successfully predict the acoustic performance of natural ventilation systems in urban areas.

[1]  Teik C. Lim,et al.  Correlations between deficiencies in power window systems influencing sound quality and some psychoacoustic metrics , 2001 .

[2]  Jeffrey R Davis,et al.  Community noise: health effects and management. , 2003, International journal of hygiene and environmental health.

[3]  B. Moore.  An introduction to the psychology of hearing, 3rd ed. , 1989 .

[4]  Seo Il Chang,et al.  Transportation noise and exposed population of an urban area in the Republic of Korea. , 2011, Environment international.

[5]  Who Regional Office for Europe,et al.  Burden of Disease from Environmental Noise: Quantification of Healthy Life Years Lost in Europe , 2011 .

[6]  Istvn L. Vr,et al.  Noise and Vibration Control Engineering , 2005 .

[7]  S E Samuels,et al.  THE AUSTRALIAN PERFORMANCE OF THE UK DOE TRAFFIC NOISE PREDICTION METHOD , 1982 .

[8]  Torben Poulsen,et al.  Fundamentals of acoustics and noise control , 2008 .

[9]  Effat A. Mohsen,et al.  Traffic noise reduction due to the screening effect of balconies on a building façade , 1977 .

[10]  B. Berglund,et al.  Guidelines for community noise , 1999 .

[11]  E. Owens,et al.  An Introduction to the Psychology of Hearing , 1997 .

[12]  A Moerkerken,et al.  CALCULATION OF ROAD-TRAFFIC NOISE , 1981 .

[13]  Campbell Steele,et al.  A critical review of some traffic noise prediction models , 2001 .

[14]  B. Bao,et al.  Characterization of road traffic noise exposure and prevalence of hypertension in central Taiwan. , 2011, The Science of the total environment.

[15]  H. Sabine.  Room Acoustics , 1953, The SAGE Encyclopedia of Human Communication Sciences and Disorders.

[16]  Richard D Bines.  The sound design of partitions , 1987 .

[17]  H. Bendtsen.  The Nordic prediction method for road traffic noise , 1999 .

[18]  Chang-Chuan Chan,et al.  A modified Nordic prediction model of road traffic noise in a Taiwanese city with significant motorcycle traffic. , 2012, The Science of the total environment.

[19]  U. Kurze,et al.  SOUND ATTENUATION BY BARRIERS , 1971 .

[20]  Naveen Garg,et al.  A critical review of principal traffic noise models: Strategies and implications , 2014 .

[21]  Takeo Hashimoto,et al.  The impact of sound quality on annoyance caused by road traffic noise: an influence of frequency spectra on annoyance , 2000 .

[22]  E. Murphy,et al.  Estimating human exposure to transport noise in central Dublin, Ireland. , 2009, Environment international.

[23]  Cheuk Ming Mak,et al.  Measurement and prediction of road traffic noise at different building floor levels in Hong Kong , 2010 .

[24]  Arnaud Can,et al.  Traffic noise spectrum analysis: dynamic modeling vs. experimental observations , 2010 .

[25]  Sh. Givargis,et al.  Converting the UK calculation of road traffic noise (CORTN) to a model capable of calculating LAeq,1h for the Tehran’s roads , 2008 .

[26]  W. E. Scholes,et al.  THE PREDICTION OF NOISE LEVELS L10 DUE TO ROAD TRAFFIC , 1976 .

[27]  Masaru Koyasu,et al.  Scale model experiments on noise reduction by acoustic barrier of a straight line source , 1973 .

[28]  Minho Kim,et al.  Modeling of road traffic noise and estimated human exposure in Fulton County, Georgia, USA. , 2011, Environment international.

[29]  David Oldham,et al.  Noise control strategies for naturally ventilated buildings , 2002 .

[30]  Ning Xu,et al.  Development of a traffic noise prediction model on inland waterway of China using the FHWA. , 2014, The Science of the total environment.