Noise is one of the physical environmental factors affecting human health in today's world. Pavement surface texture affects many vehicle and road characteristics; therefore, efforts are needed to develop more advanced techniques for evaluating pavement texture. The selection of an appropriate pavement as the best method to control the main cause of road noise, the sound absorption resulting from contact wheel vehicles and pavement is proposed. Finally, a case study is to determine and control the noise pollution level of skid resistance of asphalt pavements. In this study skid resistance of porous asphalt and conventional asphalt were measured. The linear regression was used for skid resistance and noise. The results have been confirmed by the nonparametric Kolmogorov-Smirnov test. Various pavement characteristics were measured and their effects on noise levels were evaluated using principal components regression, in addition to ordinary least-squares regression. This research confirmed that open graded pavements exhibit reduced tire noise compared to dense and gap graded mixes and quantified this reduction for typical mixes in Tehran.
Noise pollution is a type of environmental pollution threatening the health of community and living organisms. Research show that both short and long-term exposure to noise pollution weakens hearing, increases blood pressure leading to cardiovascular disorders, causes sleep and mood disorders and changes behavior patterns. Urbanism and vehicles have increased noise pollution. Nowadays, noise pollution studies is an important subject in environmental studies. This paper attempts to investigate noise pollution in Tehran considering the population growth and large contributing of vehicles to this type of pollution. The study areas consisted of high traffic areas of Tajrish, Tohid, Hemmat and Hakim Freeways. In a field study, the noise level was measured via sound meter and the noise map was generated based on geostatistical methods via GIS software. For this purpose, the factors influencing noise level (e.g. traffic, road width, slope, and residential or administrative-commercial land use) were surveyed and recorded for each point and their local and time dependencies were computed via SPSS. The results indicated that by a large margin, traffic was the most influential factor on noise level, followed by residential areas, road width, slope, administrative-commercial land use, and green space. According to the noise pollution map, Hemmat Freeway had the highest level of noise pollution, respectively followed by Hakim Freeway, Tohid, and Tajrish areas. It appears that the freeway function of Hemmat and Hakim areas and their relatively longer distance from residential areas has significantly influenced the noise pollution level. In most streets of the area, newly constructed, multi-story buildings prevent the roads from being widened, however it is proposed to prevent the construction of tall buildings around the main streets and maintain standard distances between buildings and main streets or freeways.
This research aimed at modeling interrupted flow traffic noise at a signalized intersection. In this study, a new approach has been used with SPSS and Arc GIS with urban road traffic noise. The measured parameters of noise include noise equivalent level, volume of light vehicles, heavy vehicles and time mean speed. The results showed that the Spearman correlation coefficient between the interface and the level of the noise at morning, evening and total time were 0.241, 0.35 and 0.45. The spearman correlation coefficient between the interface of the buildings and the intersection of all types of vehicles passing through the morning, evening and total time equal to 0.534, 0.328 and 0.409. The results showed that noise level can be predicted through the speed variables of the vehicles, the volume of vehicles passing heavy and the use of land use of buildings. According to the results and the noise maps for the modeling noise of the estimated coefficients from the equation, it can be found that in building highway in urban, closer look on internationally acting Green Building Labels and noise protection is seen as an important part of the social sustainability aspects of a building.
This chapter attempts to investigate noise pollution in the street of Tehran near IKIA airport considering the population growth and large contribution of ground vehicles to noise pollution. The operation of airports results in environmental impact associated with high levels of different sources of noise. If there is to be growth in aviation, the environmental impacts of aviation must be mitigated. In this chapter, a model for the noise pollution near IKIA airport in Tehran has been calibrated with the use of a noise forecasting software. The study areas consisted of high traffic areas of Tajrish Street near the airport. In a field study, the noise level was measured via sound meter and the noise map was generated based on geostatistical methods via GIS software. For this purpose, the factors influencing noise level (e.g. traffic, road width, slope, and residential or administrative-commercial land use) were surveyed and recorded for each point and their local and time dependencies were computed via SPSS. According to the results obtained from 324 survey points, the highest noise levels belonged to Tajrish area (69 dB). It is higher than standard noise level for residential and commercial and in conclusion, suggestions for reducing it are given.
Abstract. Due to population growth in major cities, many issues and problems bother related governors. Due to noise pollution, diseases like psychiatric, hearing problems and sleep disorders increased dramatically. In conclusion, this issue has to be studied and controlled by authorities in order to increase health care of area. This paper is case study of sound wave emission of one of the most crowded highways in Tehran city. In result, in rush hours, when the volume of vehicles is in its most and their speed in low, noise pollution of the area increases. But when the road in clear and speed in high and volume is low, sound level reaches its lowest value. Average sound level of this highway is 97.23 (dB).
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