Road Traffic Noise: A Case Study of Balasore Town, Orissa, India (original) (raw)
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This literature reviews article based on the systematic study of research conducted during the most recent thirty years on traffic noise and its effect in Indian occupants. Studies on road traffic noise was only restricted to the metropolitan territories all through the country. The studies on the noise level have determined only on the monitoring, recording, analysis, modelling, and mapping to some level and related to themes. Negligible findings are found in the exposure-effect sense of physiological and sleep research areas. Nearly all of studies related to noise pollution have been uniquely connected with disturbance and behavioural surveys. In the Indian situation a very few studies associated to human physiology by traffic noise were found and study also outlook very less study are accessible related to traffic noise and its sever impacts on human health. This study review reveals that highway traffic noise is a main cause of aggravation in respondents. Traffic noise could lea...
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The objectives of the study were to monitor and assess the road traffic noise in its spatial-temporal aspect in an urban area. The paper discusses the observations, results and their interpretation based on the study. Noise recordings from site, collected from April 2006 to March 2006, were used for statistical analysis and generation of various noise indices. Noise maps were also created for impact analysis and formulation of Noise Risk Zones. Mean L dn value ranged between 55.1 and 87.3 dB (A). Day time L eq level ranged between 51.2 and 89.0 dB (A), where it ranged between 43.5 and 81.9 dB (A) during night. The study reveals that present noise level in all the locations exceeds the limit prescribed by CPCB. Based on the finding it can be said that the population in this industrial town are exposed to significantly high noise level, which is caused mostly due to road traffic.
Besides growing levels of air and water pollution, road traffic induced noise pollution has been recognized as potential threat to feasible quality of life especially in the urban areas. The accelerated pace of economic development urbanization, and increased vehicular mobility has affected remotest location of India and the Himalayan state of Uttarakhand is no exception to it. The serenity and tranquility for which it’s acknowledged globally, is growingly affected by traffic induced noise pollution caused by inflating Pilgrimage/tourism industry, rampant road constructions, encroachment, traffic mismanagement etc. The peak pilgrimage season brings with it uncontrolled traffic influx in the region. All the major pilgrimage towns located on the national Highway from Rishikesh to Badrinath are affected by the vehicular Noise pollution and traffic congestion especially during the holy pilgrimage season. The study tries to evaluate the Noise pollution problem in one of the important towns of Uttarakhand ‘Srinagar ’located 105 kms upstream from Rishikesh, on NH-58. Heavy movement of traffic and illegitimate usage of horns is considered main cause of noise pollution in the town which grows irrationally during the yatra season. The average number of vehicular flow was observed to be 890 vehicles/day during the yatra season (May) as compared to 575 vehicles/day during the non yatra season(January). The the average noise intensity levels of the town was recorded to be 70dB and noise levels have reached at an alarming stage. It was observed that in 4/5 noise monitoring location, the noise intensity was above the prescribed noisestandard level of Central Pollution Control Board (CPCB), and Bureau of Indian Standard (BIS). The vulnerability to various noise induced health hazards was also very high in the area because the valve of R was 0.78.
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Traffic noise has reached in an unacceptable level with the growing number of vehicles in urban areas. Exposure to traffic noise causes significant health and behavioral risks for the people who are vending or working along the roadside. This research explores the traffic noise levels at six selected intersections of Khulna City and identifies its effects on human health. So, noise level (in dB unit) was measured by Sound Meter, an android application which supports calibration to achieve actual reading. Using a cluster random sampling technique, a total of 120 respondents were surveyed through questionnaire together with collecting noise levels' data of different times at all selected intersections. Questionnaire of this study included issues related to demographics, health and exposure to noise. Then appropriate statistical analysis was carried out by using Statistical Package for the Social Sciences (SPSS) and R Studio. Among the six intersections, highest (111 dB) level of traffic noise was found in Dakbangla and lowest (51 dB) in Moilapota. In fact, noise levels at all the intersections are greater than expected level. Intersections with inadequate carriageway width to accommodate all traffic flow along with low level traffic management can be considered as one of the major causes of high traffic noise levels at the intersections. High noise levels have been found to be correlated with rising risk of noise related physical and mental health issues. Most of the people got affected by several health related problems simultaneously such as hearing impairment, communication problem, sleeping disturbance, cardiovascular and psychophysiological issues, mental health problems and performance related problems. Among them, some people were found with diabetes mellitus who were affected by traffic noise while working along the roadside of these intersections. It is also observed that age is moderately correlated with noise related health problems. Although the study didn't withstand effects of other factors on health related problems, but it has explored something on this aforementioned issuse that creates an enormous scopes for clinical research and upgrading relevant policy.
Assessment of Traffic Noise Pollution in Burla Town, India; An Inclusive Annoyance Study
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Noise pollution is one of the major public health problems in urban areas throughout the world. Noise is unwanted sound which produces undesirable problems in day to day life of human being (e.g., physiological and psychological problems). Rapid increase of the industrialization, urbanization, infrastructure, volume of motor vehicles, and increase in the road networks brought noise pollution to the highest level of disaster in a current situation. In urban areas, road traffic noise plays commanding role among all noise sources and affects the exposed inhabitants. The present work is done to evaluate and assess the traffic noise and its effects in Burla town. Burla, Vidyanagari of Odisha, is an emerging town in India, as it hosts national level of teaching and research institutions like IIM Sambalpur, a medical college-cum-hospital (VIMSAR), a technical university (VSSUT) and Sambalpur University. In last two decade, the road traffic volume has been increased and is facing severe noise pollution to its inhabitants. Noise pollution assessment was made at different locations of the town. This study unveiled the dismal state of noise pollution in the town. Noise contour maps were drawn to visualize the noise level at the traffic and its surroundings. The numbers of hearing impaired patients in different hospitals of the locality are increasing. That shows grim picture of the situation. Regression equations were established taking noise levels with percentage of highly annoyed people during study indicates strong correlation.
A study on traffic noise of two campuses of University, Balasore, India
Journal of environmental biology, 2011
Noise pollution is a significant environmental problem in many rapidly urbanizing areas of Orissa, India. Transportation sector is one of the major contributors to noise in these areas. The present study is an attempt to estimate traffic noise pollution at five places on the way from Vyasa Vihar Campus to Gyan Vigyan Vihar Campus of Fakir Mohan University, Balasore, Orissa. The sources of noise at the studied sites are predominantly attributable to motor vehicular traffic. The noise levels of all the five locations were found to be beyond permissible limit during the day time. The contributions of different types of vehicles to environmental noise were found to ranging from 70.4-94.2, 79.0-96.1, 77.8-110.2, 70.8-90.3, 71.0-87.5, 71.1-84.4, 72.5-86.9 and 74.0-85.4 dB (A) by cargo carrying Trucks, Tractors, Dumpers, Town Buses, Motor cycles, Bolero/Trucker, Pick up and Tempo respectively. The contributions of individual vehicles towards noise pollution were found to be more than the r...
1 Assessment of Traffic Noise Pollution in Banepa
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Noise pollution is an interfering air-pollutant which possesses both auridtory and a host of nan-aduitory effects on the exposed population. Since there is no medicine to cure hearing loss prevention to overt exposure is the only alternative left. The study reports community noise levels measured during day time in a fast developing semi-urban area of Nepal. The noise levels were mesured following standard procedure using calibrated sound pressure level meter at many places predominated by both commerical and residential tenaments at Banepa town particularly reflecting motor vehicular traffic prone areas. A small exercise of nose generated by different vehicles that frequent on the arterial roads has also been carried out. To delineate the perception about the noise and its significance on health of community a representive sample of public has been interviewed using a questionnaire. The results indicate high noise levels, surpassing on many occasions to the prescribed levels. Overa...
Vehicular noise pollution and its environmental impact in Berhampur, India
Advances in Environmental Technology, 2022
Increased urbanization, industrialization, transportation, and infrastructural development in cities have resulted in an increase in noise level at an alarming rate. Traffic noise is one of the major sources of environmental noise pollution in urban areas. It reduces the wellbeing elements for the urban population. Exposure to excessive noise reduces the overall psychological and physiological wellbeing. The psychological physiological impacts are sleep disturbance, annoyance, irritation, headache, loss of concentration, sleeplessness, low work performance, hearing disability, impaired cognitive ability, hypertension, and much more. In this experimental study, the assessments and analysis of traffic noise in Berhampur, India, have been done. Its impact on socio-health has been studied. The key locations covering the entire city were chosen for traffic noise assessment. Also, the wellness and health of the affected people have been studied and statistical validation has been made. The study reveals that traffic noise levels and its effects are at an alarming state in the city.
Road traffic noise in Calcutta metropolis, India
Indian journal of environmental health, 2002
A comprehensive study on traffic noise level at twenty four pre-selected road transaction of Calcutta Metropolis was carried out during 1993-94. Noise levels were measured at each of twenty four sites, based on predetermined sampling interval and altogether 2880 observations were generated by recording data continuously for 24 hours. The Lcq 24, exceedence levels, LD, LN, LDN, LNP and TNI were determined. Traffic flow density as measured along with noise data recording were then compared for establishing relationship with noise level. Finally the clustering of the sites were made based on variable viz. Lcq 24 and traffic follow density.
Assessment, analysis and appraisal of road traffic noise pollution in Rourkela city, India
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The problem of road traffic noise pollution has become a concern for both the public and the policy makers. Noise level was assessed in 12 different squares of Rourkela city during different specified times (7-10 a.m., 11 a.m.-2 p.m., 3-6 p.m., 7-10 p.m., 10 p.m.-12 midnight and 4-6 a.m.). Noise descriptors such as L,eq, traffic noise index, noise pollution level, noise climate, Lday, Levening, Lnight and Lden were assessed to reveal the extent of noise pollution due to heavy traffic in this city. The equivalent noise levels of all the 12 squares were found to be much beyond the permissible limit (70dB during day time and 55dB during night time). Appallingly, even the minimum L eq and NPL values were more than 82 dB and 96 dB during day time and 69 dB and 91 dB during night time respectively. Lden values of investigated squares ranged from 83.4 to 86.1 dB and were even more than the day time permissible limit of traffic noise. The prediction model was used in the present study to pr...