An Experimental Study of the Noise Due to Traffic in a Congested Urban Area

2016 ◽  
Vol 15 (01) ◽  
pp. 1650010
Author(s):  
M. Sangeetha ◽  
P. Sankar

Noise pollution in an urban environment is an issue of serious concern in the major cities of India. There are various factors that contribute to the increase of noise levels in urban areas. The intensity of traffic is one of the factors which contributes to a drastic increase in environmental noise. The management of noise pollution has to be considered in the decision making process. In this paper, an attempt is made to study the existing noise level due to the traffic in Velachery which is declared as a sensitive area by the Ministry of Environment and Forestry (MoEF). The noise level data is collected using the MS6710 digital sound meter. The Custic simulation software version 3.2 is used for finding the propagation of noise. The spatial patterns of measurement were also calculated, in the sub-urban area of Velachery, Chennai, Tamilnadu, India. A means of transmitting this data to vehicles moving in the area, through a wireless medium is simulated using NCTUns 6.0 (network simulator), to enable drivers to understand the environmental conditions. A hardware was also designed which can be used to transmit and receive the noise data using the Zigbee module. A noise transmitting station is placed at a junction, so that it can transmit this noise data to the receivers which are fitted inside the vehicles.

The study is conducted to assess the level of noise pollution from traffic activities in urban areas (in the case of Thuan An city, Binh Duong province) with the specific goal of applying geographic information systems. (GIS) in building noise pollution distribution maps in the study area. The research team collected noise data at peak hours and normal hours on weekdays and weekends using noise meters at 61 survey points. Noise measurement data was then interpolated using IDW (Inverse Distance Weighting) method to assess the spatial distribution of noise in Thuan An city. In addition, the study digitizes traffic routes and special areas (hospitals, schools, churches - pagodas) in the study area to identify areas affected by sound noisy. The results show that the areas near the main road are most affected by noise during rush hour, while areas in the small lane are noise level within the permitted range. In addition, the results also show the difference in noise level and noise time between weekdays and weekends.


2019 ◽  
Vol 101 ◽  
pp. 04003
Author(s):  
Stela Todorova ◽  
Kaloyan Haralampiev

Aviation, as every type of transport, is responsible for a number of negative external effects to the environment. The main goal of this study is to reveal the relation between the noise level in the urban areas near to the Burgas airport and the air traffic. Our main research tasks are: to make a literature review of the problem; to gather data for the noise levels; to gather data for the air traffic; to choose relevant statistical methods and models for the revealing of the relation between the noise level and air traffic; to draw conclusions and to make recommendations about the noise pollution in the vicinity of Burgas Airport. The data are on monthly basis and cover the period from January 2015 to December 2017, i.e. 36 months. In our regression model we use three traffic indicators as independent variables: aircraft movements; passengers and freight. In the established regression model we introduce ‘the time’ as an additional factor, which provides concrete practical advantages. Our results show that two independent variables (aircraft movements and freight) affect the Twenty-four hours average equivalent level of noise due to flights. Aircraft movements are the most important factor and we expect their increasing in the future. This will lead to increased noise levels.


Noise Mapping ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 89-93
Author(s):  
Komal Kalawapudi ◽  
Taruna Singh ◽  
Ritesh Vijay ◽  
Nitin Goyal ◽  
Rakesh Kumar

Abstract India is a country where every religion and community celebrates their culture. Festivals have an important role in Indian culture and are celebrated whole-heartedly by the citizens. Most of these celebrations culminate to causing pollution especially noise pollution due to festivities and rituals. One such festival is Ganesh Chaturthi or Ganeshotsav which is magnificently celebrated in Maharashtra state of India. In the present study, noise pollution levels during Ganeshotsav at famous community pandals in Mumbai city were monitored in the year 2020. Noise level data was analyzed based on indices such as L 10, L 50, L 90, noise pollution level (LNP ) and noise climate (NC). Comparison of noise levels was carried out for the collected data during Ganesh Chaturthi in the previous years of 2018 and 2019. The city witnessed simple festival celebration in eco-friendly manner leading to significant decrease in noise levels due to CoVID-19 pandemic. The pandemic situation is an eye-opener for the city administration with demonstration in reduction of noise pollution. Many aspects of the pandemic can be carried forward in making new guidelines and policies to curtail pollution and eco-friendly celebration of festivals.


Author(s):  
Md. Sultan Mahmud ◽  
Rony Basak

Noise pollution is a silent villain as it’s quite easy for being ignored by us. Urban areas are more exposed to this deadly agenda as the density of population and their belongings are excessive in there. This study differentiated noise levels of Sylhet City Corporation, a growing city of Bangladesh into different types according to the land use purpose of the city like residential, silent etc. One hundred and sixty-eight noise level readings, taken at 14 different positions during the morning, afternoon, evening, and night of selective weekdays which are categorized as busy days, typical days and weekends were utilized for this research. Results put the average noise level readings in the city centers at between 45 dB(A) and 95 dB (A), dissented from the permissible limits of the World Health Organization (WHO) as well as national standardization organization: Department of Environment (DOE) in all the land use types, with the highest noise pollution levels recorded for transportation, commercial and silent typed areas. The result of the one-way ANOVA test completed where the dependent variable was noise and the independent variable was land use types uncovers a factually huge mean noise levels over the study area (F (4,115) = 9.52, p = 1.1079). Tukey’s HSD method also carried away which showed the uneven difference of noise levels between the land types. The study represents noise pollution auditing, and the immediate needs to control urban noise pollution with convenient and effective policies some of which is recommended at the end of the study.


2018 ◽  
Vol 10 (12) ◽  
pp. 4599 ◽  
Author(s):  
Jin Jeon ◽  
Joo Hong ◽  
Sung Kim ◽  
Ki-Hyun Kim

The aim of this study was to explore the relationships among the particle number concentration (PNC), noise, and traffic conditions. Field measurements were conducted to measure the temporal variabilities of the noise levels and PNC over 24 h in a location adjacent to three main traffic roads in Seoul, Korea. The PNC was measured in the range of 0.3 to 10 µm. The noise data was measured by utilizing both the overall levels and spectral characteristics. Traffic data including volumes and speeds of vehicles on the roads were also collected. The results showed that the correlations among the three key parameters varied depending on changes in the noise frequency and particle size. The noise levels at 100–200 Hz were positively correlated with traffic volume and submicron particles. In contrast, they exhibited inverse correlations with the traffic speed and the number of larger particles (>2.5 µm). Compared to noise levels at 100–200 Hz, noise levels at 1–2 kHz exhibited reverse relationships between the traffic and PNC. Submicron particles (0.3–1.0 µm) tended to be more strongly associated with noise levels during the daytime, while those greater than 2.5 µm maintained relatively stable correlations with the noise throughout the day. The findings address the importance of temporal and spectral-specific monitoring of air and noise pollutants for a better understanding of the exposure of the community to air and noise pollution.


2016 ◽  
Vol 31 (4) ◽  
Author(s):  
Neha Singh ◽  
Hitesh Dhiman ◽  
Sadaf Shaikh ◽  
Purvish Shah ◽  
Roma Sarkar ◽  
...  

AbstractThe present research was conducted to study the urbanization of Vadodara city and to monitor the ambient noise level in the industrial, commercial, residential and silence zones of the city. A settlement map created by unsupervised classification for the land use and land cover study of Vadodara city clearly shows the increasing pattern of urbanization in its central part, which may be the result of urban sprawl due to migration of people from the rural to the urban areas. The fluctuation in ambient noise level was recorded using an A-weighted sound level meter in all the four zones of Vadodara city for 3 h at regular intervals of 15 min on 3 consecutive days at the same time. The results showed the highest equivalent noise level of 93.7 dBA in the commercial zone followed by 85.5 dBA in the industrial zone, 73.2 dBA in silence zone, and 70.2 dBA in the residential zone. The values of noise level were high in all the zones of the city increasing remarkably over the prescribed limit given in the Noise Pollution (Control and Regulation) Rules, 2000. Continuous exposure to such high level of noise may lead to detrimental effect on people.


Noise Mapping ◽  
2020 ◽  
Vol 7 (1) ◽  
pp. 74-83
Author(s):  
Pervez Alam ◽  
Kafeel Ahmad ◽  
S. S. Afsar ◽  
Nasim Akhtar

AbstractNoise pollution has been rising as a critical issue in recent days particularly for the people living in urban areas. This study has been conducted to find out the effects of traffic induced noise on nearby residential building through 3D noise mapping with and without noise Barriers. Monitoring has been carried out at various densely populated preselected locations of Delhi, India. Thereafter, 3D noise mapping has been done using hourly average noise levels for the locations exposed with maximum noise. The developed 3D noise map shows the variation of noise level along X, Y and Z direction for all selected locations before and after installation of noise barriers. Moreover, the result also shows that exact assessment of noise impact is possible through 3D noise mapping, when a multistory building close to the source of noise is taken into consideration. This paper also elaborates the adequate height, distance and NRC value of noise barrier to reduce the effect of road traffic noise on nearby high rise building. Reduction pattern of noise level can easily be visualized and evaluated by using these maps. This type of study could support decision makers during adaptation of suitable remedial measures.


2021 ◽  
Vol 47 (2) ◽  
pp. 99-108
Author(s):  
Mahmuda Parvin

Noise pollution has been recognized as one of the most vital environmental pollutions that affecting urban area’s quality of life. Sound levels at different points of the study area have been recorded and presented spatially by geostatistical analysis. A comparison has been made between the study area data in 2019 and that of 2021. In 2021 the noise level was significantly higher despite the Covid 19 pandemic. The comparative study showed that the noise level of the study area in 2021increased significantly. Noise level data in the sample points of the study area on Friday (holiday) were also collected and found that it was higher than that of even working days, especially in the evening. J. Asiat. Soc. Bangladesh, Sci. 47(2): 99-108, December 2021


2016 ◽  
Vol 2 (1) ◽  
pp. 04
Author(s):  
Arnab Banerjee ◽  
Buddhadev Mukhopadhyay

Noise pollution is recognized as one of the major fear that affects the quality of life in urban areas across the globe. Burdwan, a district headquarter (100 km away from Kolkata) is one such town where noise pollution is very frequent. For assessing the noise pollution trend on long term scale noise data were collected from various places of the town by sound level meter with a duration of 30minutes/location during specified time like 6.00am, 10.00am, 1.00pm, 4.00pm and 6.00pm during 2002, 2008 and 2014. From the tabulated data of successive three years it was found that sound level lies within the range of 64-85dB or above in different time at different places. Statistically noise level in all these zones differ significantly at their peak hours. Results from the respective three years reveal that the regular increment in the sound pressure levels. This study may help to disseminate awareness about noise pollution among the people, by which they will be able to take required precautionary measures to save themselves from the adverse effects of noise pollution and to improve the quality of the environment.


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