Evaluation of Traffic Noise Pollution in Amman, Jordan

2006 ◽  
Vol 120 (1-3) ◽  
pp. 499-525 ◽  
Author(s):  
Ahmad Jamrah ◽  
Abbas Al-Omari ◽  
Reem Sharabi
2013 ◽  
Vol 40 (2) ◽  
Author(s):  
Ni Ketut Susilawati ◽  
Wayan Sudana ◽  
Eka Putra Setiawan

Background: Noise pollution or noise is an unwanted sound which is disturbing to human beings.However small or soft the sound, if it is undesirable it is considered as noise. Noise induced hearingloss is a sensorineural hearing loss that is commonly encountered second to presbycusis. Purpose: Toknow the effect of traffic noise exposure on hearing impairment to the employees of the Parking DistrictCompany of the Denpasar city and to improve diagnostic detection on hearing impairment caused bynoise. Method: A cross sectional study was conducted at the Parking District Company office. Thepopulations of this study were the employees of the Parking District Company. Samples of this study were the employees who were exposed to traffic noise and control samples were an employee who was unexposed. Samples were selected by simple random sampling. Results: From 40 parking attendants,27 persons (67.5%) aged above 35 years old. The parking attendants who had been working for ten to fifteen years were 36 persons (90%) and no history using ear protection when working. Seven persons(17.5%) had referred DPOAE upon examination with increase hearing threshold on audiogram result.In this study the parking attendants who had hearing deficit induced by noise were 7 persons (17.5%)and only one person (2.5%) in control group. There was a statistically significant effect of traffic noiseto hearing function deficit (p<0.05). Conclusion: Traffic noise has effect in hearing function deficit onthe parking attendants.ORLI Vol. 40 No. 2 Tahun 2010Key words: NIHL, parking attendant, audiometry, DPOAE.


2021 ◽  
Vol 7 (20) ◽  
pp. eabe2405
Author(s):  
Henrik Brumm ◽  
Wolfgang Goymann ◽  
Sébastien Derégnaucourt ◽  
Nicole Geberzahn ◽  
Sue Anne Zollinger

Noise pollution has been linked to learning and language deficits in children, but the causal mechanisms connecting noise to cognitive deficiencies remain unclear because experimental models are lacking. Here, we investigated the effects of noise on birdsong learning, the primary animal model for vocal learning and speech development in humans. We found that traffic noise exposure retarded vocal development and led to learning inaccuracies. In addition, noise suppressed immune function during the sensitive learning period, indicating that it is a potent stressor for birds, which is likely to compromise their cognitive functions. Our results provide important insights into the consequences of noise pollution and pave the way for future studies using birdsong as an experimental model for the investigation of noise-induced learning impairments.


2006 ◽  
Vol 123 (1-3) ◽  
pp. 413-430 ◽  
Author(s):  
Guoxia Ma ◽  
Yujun Tian ◽  
Tianzhen Ju ◽  
Zhengwu Ren

Noise Mapping ◽  
2014 ◽  
Vol 1 (1) ◽  
Author(s):  
Miguel Arana ◽  
Ricardo San Martin ◽  
Juan C. Salinas

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.


2018 ◽  
Vol 17 (01) ◽  
pp. 1830001 ◽  
Author(s):  
Devi Singh ◽  
Neeraj Kumari ◽  
Pooja Sharma

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.


Author(s):  
Ehsan Janati ◽  
Mohammad Ali Morowati Sharifabad ◽  
Reza Jafari Noudushan ◽  
Mohamad Javad Zare Sakhvidi ◽  
Sara Jambarsang

Introduction: The body's response to noise pollution is very similar to the way the body responds to stress, which can lead to poor health over time. In this regard, this study was conducted to determine the general health of the elderly and its relationship with traffic noise pollution in Ardakan. Methods: This descriptive cross-sectional study was conducted in 1399. Participants were 200 elderly people in Ardakan and were included in the study by random sampling. Data were collected through sound measurement with SVANTEK device, General Health Questionnaire 28 (GHQ-28). After completing the questionnaires and measurements, the collected data were entered into SPSS-19 software and descriptive statistics as well as analytical statistics including: Chi-square, regression and analysis of variance were used to analyze it. Results: The overall average sound level equivalent in decibels at all measuring stations was within the standard range. There was a significant relationship between noise annoyance and the dimensions of "anxiety symptoms and sleep disorders" and "depressive symptoms" of general health (p <0.001). Conclusion: People with more voice annoyance have more anxiety, sleep disorders and depression. Existence of noise pollution levels in the allowable or standard level can lead to the observation of no significant relationship between traffic noise pollution levels and general health. Reducing anxiety, depression and sleep disorders in the elderly is possible with interventions to reduce voice irritation in them.  


2021 ◽  
Author(s):  
WAZIR ALAM ◽  
Ramtharmawi Nungate

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.


2021 ◽  
Author(s):  
Ayoub Smaqaey ◽  
◽  
Mohammed AbdulKareem ◽  
Meryem Komşu ◽  
◽  
...  

The purposes of this research are to examine the impact of traffic noise on the sale and rent prices of the housing real estate in the Sulaimaniyah city center. Besides, highlight the concept of traffic noise pollution in general and in particular in the Sulaimaniyah city center. Thus, people have the right to choose the nature of the acoustic environment, as others should not impose it, the problem of traffic noise considered as one of the main problems that have imposed on the people in Sulaimaniyah city center. Which began to take severe economic and social dimensions, affects the decision-making process in the real estate market. Moreover, consequently, this research analyzes the impact of traffic noise pollution in the sale and rent prices of residential property in Sulaimaniyah city center, the results of the research have confirmed a clear and negative impact the traffic noise on residential real estate prices in Sulaimaniyah city center. Finally, the research indorsed range of important recommendations, such as necessity control the noise pollution at the level of governments and companies, either at the companies’ level by choosing vehicles that release less sound and the use of sound control devices of high efficiency. Either at the government level to determine the volume level or prevent annoying noises (painful), through legislation and laws of environmental protection and impose fees and raise awareness.


Author(s):  
Nik Nur Ifadah Mohamed Nazri ◽  
Nurul Hani Mardi ◽  
Nur’atiah Zaini ◽  
Shuhairy Norhisham ◽  
Nurul Natasha Nabila Naim

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