Assessment of Traffic Noise Pollution due to Road Traffic

2021 ◽  
Vol 110 ◽  
pp. 87-97
Author(s):  
Gabriela Demian ◽  
Luminița Grecu ◽  
Mihai Demian
Keyword(s):  
Noise Level ◽  
Road Traffic ◽  
Traffic Noise ◽  
Noise Pollution ◽  
Road Transport ◽  
Time Of Day ◽  
Regression Method ◽  
Noise Sources ◽  
Industrial Activities ◽  
Level Measurement

The paper presents aspects related to noise pollution due to road traffic in Drobeta Turnu Severin. The main noise sources in Drobeta Turnu Severin are: road transport, railway and industrial activities. Based on the noise level measurement performed to assess the traffic noise over a period of 7 years, namely between 2013 and 2019, on an important road traffic artery in the mentioned city, predictions for its level over the next three years are made, correlating it with the number of cars that are supposed to cross the artery. For this study a road where the equivalent noise level exceeded the limit almost every year, was chosen. For obtaining the correlation between our data we have used the regression method. The noise level depends on the time of day in which the measurements were made but also on the season. Another correlation, between the equivalent noise level, and the number and type of cars was made, for a winter day in 2020, on another important artery, in order to see how much influence these factors have, on the noise level.

scholarly journals Road Traffic Noise Pollution a Hazard

1970 ◽  
Vol 42 (4) ◽  
pp. 435-440
Author(s):  
Tayyaba Aftab ◽  
Farzana Bashir ◽  
Tahira Shafiq
Keyword(s):  
Noise Level ◽  
Road Traffic ◽  
Traffic Noise ◽  
Working Hours ◽  
Noise Pollution ◽  
Road Traffic Noise ◽  
Engineering Controls ◽  
Frequent Use ◽  
High Level ◽  
Average Noise Level

A road traffic noise study was conducted in Lahore at 18 busy places of high traffic flow in peak working hours of the day. It has been found that the day time average noise level has crossed the permissible limit of 85dB(A) at 90% busy points in the city. The maximum average noise level recorded in Lahore was 104 dB(A). This high level attributed to vehicular traffic specially auto rickshaw with ineffective silencers (without filters) and frequent use of the pressure horns by buses, wagons and trucks etc. The findings of the survey provide enough baseline data for engineering controls and interim legislation against traffic noise pollution. Key words: Noise pollution, Traffics load , Community health, Lahore city Bangladesh J. Sci. Ind. Res. 42(4), 435-440, 2007

scholarly journals ECONOMIC ASPECTS OF THE CITY TRAFFIC NOISE: CASE STUDY // EKONOMSKI ASPEKTI BUKE OD GRADSKOG SAOBRAĆAJA: STUDIJA SLUČAJA

2018 ◽  
Vol 15 (1) ◽  
Author(s):  
Jelena Božić ◽  
Predrag Ilić ◽  
Ljiljana Stojanović Bjelić
Keyword(s):  
Noise Level ◽  
Road Traffic ◽  
Scientific Evidence ◽  
Traffic Noise ◽  
Noise Pollution ◽  
Common Denominator ◽  
Economic Implications ◽  
The Impact ◽  
The City

Noise pollution is one of the main environmental problems today.The main source of environmental noise is traffic noise, especially the noise of road vehicles. The continuing expansion of motorized transport in Europe and Republic of Srpska today, and especially the sharp increase in the use of private cars raises concerns about the health risks.The aim of the case study was to determine the noise level at the location „Borik“ in Banja Luka. The measured values indicate that the noise level in this street is alarming. This paper discusses health and well-being related impacts of traffic noise pollution as well as the economic and social benefits associated with its reduction. It summarizes the latest scientific evidence on the impact of road traffic-induced noise on physical and mental health as a reaction to the high level of traffic noise risks. According to the scientific evidence, road traffic is the main source of noise pollution in Europe that cause harmful health such as impaired communication and disturbed sleep, as well as adverse after effects such as fatigue and decreased performance, annoyance, hearing impairment, ischemic heart disease and hypertension. The effects of unhealthy noise level are reflected on living and working conditions, consequently affecting the economy.This paper highlights economic implications and health benefits linked to cross-functionalities in the process of noise reduction in urbanism, architecture and vehicle design and methods for its evaluation. Cost-benefit analysis would be a pivotal decision-making tool for the city road traffic and land-use decisions. Economic valuation is about identifying all preferences and translating them into a money measure, to create a common denominator for comparing the pros and cons. Any decision implicitly include a money value into health effects. A holistic approach is crucial, considering the various health and economic consequences together.

scholarly journals Short-Term Annoyance Due to Night-Time Road, Railway, and Air Traffic Noise: Role of the Noise Source, the Acoustical Metric, and Non-Acoustical Factors

2021 ◽  
Vol 18 (9) ◽  
pp. 4647
Author(s):  
Sarah Weidenfeld ◽  
Sandra Sanok ◽  
Rolf Fimmers ◽  
Marie-Therese Puth ◽  
Daniel Aeschbach ◽  
...  
Keyword(s):  
Road Traffic ◽  
Traffic Noise ◽  
Field Studies ◽  
Road Transport ◽  
Air Traffic ◽  
Short Term ◽  
Night Time ◽  
Noise Sources ◽  
Exposure Response ◽  
Noise Measurements

Field studies on traffic noise-induced annoyance have predominantly used estimated outside noise levels. We intended to complement existing knowledge with exposure–response relationships that are based on precise indoor noise measurements. Acoustic recordings inside the bedrooms of nightly road traffic and annoyance ratings in the following morning were obtained from 40 suburban residents (mean age 29.1 years ± 11.7; 26 females). We derived exposure–response functions for the probability to be “annoyed at least a little” (%LA). Further analyses compared data from the current study with those from two earlier studies on railway and aircraft noise. Annoyance increased with the number of traffic events and the equivalent sound pressure level. The inclusion of non-acoustical factors (such as assessment of road transport) improved the prediction considerably. When comparing the different traffic noise sources, %LA was higher for road than for air traffic at a given LAeq,night, but higher for road and railway than for air traffic at a given number of noise events. Acoustical as well as non-acoustical factors impact short-term annoyance induced by road, railway, and air traffic. Annoyance varies across noise sources, which may be due to differences in acoustical characteristics or in the temporal noise distribution throughout the night.

scholarly journals Road Traffic Noise on the Santa Marta City Tourist Route

2021 ◽  
Vol 11 (16) ◽  
pp. 7196
Author(s):  
Dámaris A. Jiménez-Uribe ◽  
Darwin Daniels ◽  
Zoë L. Fleming ◽  
Andrés M. Vélez-Pereira
Keyword(s):  
Traffic Flow ◽  
Noise Level ◽  
Road Traffic ◽  
Traffic Noise ◽  
Environmental Noise ◽  
Time Of Day ◽  
Road Traffic Noise ◽  
Sampling Point ◽  
Heavy Vehicles ◽  
Noise Levels

The objective of this study was to determine the influence of vehicular traffic on the environmental noise levels of the Santa Marta City tourist route on the Colombian coast. An analysis of vehicle types and frequencies at various times of the day over nearly a year helped to track the main sources of environmental noise pollution. Five sampling points were selected, which were distributed over 12 km, with three classified as peripheral urban and two as suburban. The average traffic flow was 966 vehicles/h and was mainly composed of automobiles, with higher values in the peripheral urban area. The noise level was 103.3 dBA, with background and peak levels of 87.2 and 107.3 dBA, respectively. The noise level was higher during the day; however, there were no differences between weekdays and weekends. The results from the analysis of variance showed that the number of vehicles and the noise levels varied greatly according to the time of day and sampling point location. The peak and mean noise levels were correlated with the number of automobiles, buses and heavy vehicles. The mean noise levels were similar at all sample points despite the traffic flow varying, and the background noise was only correlated for automobiles (which varied much more than the heavy vehicles between day and night).

scholarly journals 3D noise mapping for preselected locations of urban area with and without noise barriers: A case study of Delhi, India

Noise Mapping ◽  
2020 ◽  
Vol 7 (1) ◽  
pp. 74-83
Author(s):  
Pervez Alam ◽  
Kafeel Ahmad ◽  
S. S. Afsar ◽  
Nasim Akhtar
Keyword(s):  
Noise Level ◽  
Urban Areas ◽  
Road Traffic ◽  
Traffic Noise ◽  
Residential Building ◽  
Noise Pollution ◽  
Critical Issue ◽  
Road Traffic Noise ◽  
Noise Barriers ◽  
Noise Mapping

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.

scholarly journals People exposed to traffic noise in european agglomerations from noise maps. A critical review

Noise Mapping ◽  
2014 ◽  
Vol 1 (1) ◽  
Author(s):  
Miguel Arana ◽  
Ricardo San Martin ◽  
Juan C. Salinas
Keyword(s):  
Road Traffic ◽  
Noise Source ◽  
Traffic Noise ◽  
Noise Pollution ◽  
Environmental Noise ◽  
Action Plans ◽  
Implementation Phase ◽  
Pollution Levels ◽  
Input Variables ◽  
The Impact

AbstractTwo of the main objectives of the European Directive on environmental noise are, firstly, to unify acoustic indices for assessing environmental noise and, secondly, to standardize assessment methodologies. The ultimate goal is to objectively and comparably manage the impact and evolution of environmental noise caused both by urban agglomerations and by traffic infrastructures (roads, rails and airports). The use of common indices and methodologies (together with five-year plan assessment required by the authorities in charge) should show how noise pollution levels are evolving plus the effectiveness of corrective measures implemented in the action plans. In this paper, available results fromnumerous European agglomerations (with particular emphasis on Spanish agglomerations) are compared and analysed. The impact and its evolution are based on the percentage of people exposed to noise. More specifically, it demonstrates the impact caused by road traffic, which proves to be the main noise source in all agglomerations. In many cases, the results are extremely remarkable. In some case, the results are illogical. For such cases, it can be concluded that either assessment methodologies have been signifi- cantly amended or the input variables to the calculation programs have been remarkably changed. The uncertainty associated with the results is such that, in our opinion, no conclusions can be drawn concerning the effectiveness of remedial measures designed within the action plans after the Directive’s first implementation Phase.

A Review of Adverse Effects of Road Traffic Noise on Human Health

2018 ◽  
Vol 17 (01) ◽  
pp. 1830001 ◽  
Author(s):  
Devi Singh ◽  
Neeraj Kumari ◽  
Pooja Sharma
Keyword(s):  
Human Health ◽  
Work Performance ◽  
Road Traffic ◽  
Disease Risk ◽  
Traffic Noise ◽  
Cardiovascular Disease Risk ◽  
Noise Pollution ◽  
Health Hazards ◽  
Road Traffic Noise ◽  
Rapid Urbanization

Noise pollution due to road traffic is a potential threat to human health. Since it is a global hazard, the rapid urbanization and exponential traffic growth have aggravated the problem. Population residing along the busy traffic lanes is continuously exposed to the sound levels which are above the permissible limits. This constant exposure to noise pollution is a cause of concern as it leads to several adverse impacts on human health. Traffic noise causes irritation and annoyance, sleep disturbances, cardiovascular disease, risk of stroke, diabetes, hypertension and loss of hearing. It results in decreased work performance. The present review highlights the serious health hazards of road traffic noise (RTN) which needs to be curbed. Preventive measures of noise pollution can help in combating noise-induced health hazards and increased work performance.

Traffic Noise Pollution Assessment in Major RoadJunctions of Imphal City, Manipur (India)

2021 ◽  
Author(s):  
WAZIR ALAM ◽  
Ramtharmawi Nungate
Keyword(s):  
Noise Level ◽  
Noise Exposure ◽  
Traffic Noise ◽  
Pollution Assessment ◽  
Noise Pollution ◽  
Pollution Level ◽  
Night Time ◽  
Noise Mapping ◽  
Noise Parameters ◽  
Spatial Noise

Abstract Noise pollution assessment was carried out in selected traffic junctions of Imphal city of Manipur, India. The noise pollution assessment was carried out using noise parameters and indices such as L10, L50, L90, Leq for selected traffic junctions during the different periods of the day, i.e., morning, noon, and evening hours. The study of equivalent noise level (Leq), noise parameters, and various noise indices have enabled the evaluation of the overall traffic noise environment of the city. The traffic noise indices such as traffic noise index (TNI), noise climate (NC), traffic noise pollution level (LNP), noise exposure index (NEI) along with day time (LD), night time (LN) average, and day-night (Ldn) noise levels were assessed for the selected traffic junctions. Moreover, spatial noise mapping was carried out using the geostatistical interpolation technique to evaluate the changes of traffic noise scenarios during the different time zones of the day. The Leq values in few traffic junctions exceeded the required noise standards. The study shows equivalent noise level ranging between 52.2–69.9 dB(A) during the morning (7–10 am), 52.4–69.3 dB(A) during noon (12 noon-2 pm), and 54.6–71.1 dB(A) during the evening (4–7 pm) hours, respectively.

scholarly journals Rapid Modeling Method for Road Traffic Noise Sources: A case study in Beijing

Noise Mapping ◽  
2015 ◽  
Vol 2 (1) ◽  
Author(s):  
L. Zhu ◽  
X. Li ◽  
C. Jiang ◽  
L. Liu ◽  
R. Wu ◽  
...  
Keyword(s):  
Road Traffic ◽  
Traffic Noise ◽  
Modeling Method ◽  
Model Parameters ◽  
Road Traffic Noise ◽  
Emission Model ◽  
Noise Sources ◽  
The Road ◽  
The Mean ◽  
Rapid Modeling

AbstractBased on the local road traffic conditions in Beijing, China, this contribution proposes a rapid modeling method for road traffic noise sources. Since establishing the standardized experiment fields are expensive, real roads are used to determine the road traffic noise emission model in the method. Due to the similarity in the urban structures in China and Japan, this paper uses the ASJ- 2013 model as a template and replaces its model parameters with the ones output by an optimization program which minimizes the sum of absolute errors between the predicted and the measured LAeq. Real road experiments are conducted to verify the effectiveness and feasibility of the modeling method. The mean error of the model deduced by the method and the ASJ-2013 model is respectively 0.4 dB and 2.6 dB, and the mean absolute error of the two models is respectively 1.1 dB and 2.6 dB. The results of the real road experiments show that the road traffic noise sources deduced by the method are more accurate to conduct local noise prediction than those of other models.

scholarly journals Solving Noise Pollution Issue Using Plenum Window with Perforated Thin Box

Crystals ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. 614
Author(s):  
Hsiao Mun Lee ◽  
Andi Haris ◽  
Kian Meng Lim ◽  
Jinlong Xie ◽  
Heow Pueh Lee
Keyword(s):  
White Noise ◽  
Traffic Noise ◽  
Noise Pollution ◽  
Experimental Results ◽  
Frequency Range ◽  
Noise Mitigation ◽  
Noise Sources ◽  
Acoustic Performance ◽  
Common Noise ◽  
The Common

In the present study, a conventional plenum window was incorporated with perforated thin box in order to enhance its performance at frequency range which centralized at 1000 Hz as most of the common noise sources at city nowadays are centralizing around this frequency. The entire studies were conducted in a reverberation room. The effectiveness of jagged flap on mitigating diffracted sound was also studied. Three types of noises were examined in the current study—white noise, traffic noise and construction noises. The experimental results showed that the plenum window with perforated thin box could reduce 8.4 dBA, 8.7 dBA and 6.9 dBA of white, traffic and construction noises, respectively. The jagged flaps did not have significant effect on the plenum window’s noise mitigation performance. When frequencies were ranging from 800 Hz to 1250 Hz, when compared with the case of without perforated thin box, it was found that the perforated thin box had good acoustic performance where it was able to reduce additional 1.6 dBA, 1.6 dBA and 1.2 dBA of white, construction and traffic noises, respectively.

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