Main Article Content
Traffic noise at two locations which are Rumuokoro and Rumuola in Port Harcourt city, Rivers state Nigeria was studied. The study was done for 3 days at each location. Variables such as atmospheric parameters and traffic density were measured along with the noise measurement. The atmospheric parameters measured were temperature, relative humidity and wind speed. Traffic density includes number of small cars and trucks per 20m radius. Three empirical model concepts were proposed, calibrated using multiple regression analysis and validated by cross validation and coefficient of determination (R2). The models are a linear model, a polynomial model and an exponential model. The coefficient of determination for the linear model ranged from 0.25 to 0.94 at Rumuokoro and 0.29 to 0.86 at Rumuola. The coefficient of correlation for the polynomial model ranged from 0.062 to 0.998 at Rumuokoro and 0.05 to 0.998 at Rumuola. The coefficient of correlation for the exponential model ranged from 0.28 to 0.92 at Rumuokoro and 0.45 to 0.89 at Rumuola. The exponential model was concluded to be the best model concept because of its performance in predicting noise levels using data from other days with moderately high and consistent coefficient of determination at both locations. However, if extrapolation is not to be considered, the polynomial model concept is very useful.
Sincero AP, Sincero GA. Environmental engineering a design approach. U. S. Edition. Prentice hall of India, New Delhi. 2006;686.
Brown AL, Lam KC, Van-Kamp I. Quantification of the exposure and effects of road traffic noise in a dense Asian city: A comparison with western cities. Environ. Health. 2015;14-22.
Taeho P, Minho K, Chaemi J, Taeryang C, Kyung-A S, Dongju S, Seo C. The public health impact of road-traffic noise in a highly-populated city, Republic of Korea: Annoyance and Sleep Disturbance. Sustainability. 2018;10:2947.
Passchier-Vermeer W, Passchier WF. Noise exposure and public health. Environment Health Perspectives. 2000; 108(1):123–131.
Rosenhall U, Pedersen K, Svanborg A. Presbycusis and noise-induced hearing loss. Ear Hear. 1990;11(4):257–63.
Schmid RE. Aging nation faces growing hear loss. CBS News. Archived from the original on; 2007.
Senate Public Works Committee, Noise pollution and Abatement Act of 1972, S. Rep. No. 1160, 92nd Cong. 2nd session; 1972.
Kryter KD. The handbook of hearing and the effects of noise: physiology, psychology, and public health. Boston: Academic Press; 1994.
Babisch W, Beule B, Schust M. Traffic noise and risk of myocardial infarction. J. Epidemiology. 2005;3(16):33–40.
Pignier N. The impact of traffic noise on economy and environment: a short literature study. Performed within the scope of the ECO2 project, Noise propagation from sustainable vehicle concepts. The Centre for ECO2 Vehicle Design KTH Aeronautical and Vehicle Engineering Stockholm, Sweden; 2015.
ISSN: 1651-7660 TRITA-AVE 2015: 29
Marathe PD. Traffic Noise Pollution, Assessment and management. Disserta-tion at M. I. T. S. Gwalior. J. IJED. 2012; 9:64-65.
Oluwaseun OO, Michael UO, Oladayo EO. Study of road traffic noise pollution and impacts on Residents of Ikeja Local Government Area Of Lagos State, Nigeria. International Journal of Scientific & Engineering Research. 2015;6(5).
Murat O, Ebru SE. Determination of Traffic noise pollution of the city of Tekirdag. Journal of Environmental Protection and Ecology. 2016;17(40):1276–1284.
Davies HW, Vlaanderen JJ, Henderson SB, Brauer M. Correlation between co-exposures to noise and air pollution from traffic sources. J. Occup. Environ. Med. 2009;(66):347–350.
Nwaogazie IL. Probability and statistics for science and engineering practice. 2nd Edition, University of Port Harcourt Press, Nigeria. 2006;107.
Majumder AK, Jain R, Banerjee P, Barnwal JP. Development of a new proximate analysis based correlation to predict calorific value of coal. Fuel. 2008; 87:3077-3081.