Top PDF A CASE STUDY ON NOISE POLLUTION FOR VEAVY TRAFFIC ZONE AT AKOLA CITY

A CASE STUDY ON NOISE POLLUTION FOR VEAVY TRAFFIC ZONE AT AKOLA CITY

A CASE STUDY ON NOISE POLLUTION FOR VEAVY TRAFFIC ZONE AT AKOLA CITY

Noise is generally described as unwanted sound and wholly subject to personal tastes and tolerance levels. In addition, the sensitivity of the human ear to noise depends on a number of contextual factors which typically include wind factor, humidity, traffic density, etc. Nevertheless, it is generally accepted that a 55 dB(A) sound will be disturbing whereas a 65 dB(A) noise level will be deemed intolerable, causing severe sleep disturbance. Much of this is caused by traffic-related sound originating from all modes of transport. Operational noise from transportation system alone contributes about 70 % of total noise, whereas road traffic noise is responsible for 55 % of total noise. Ambiant Air Quality Noise Standards (Aaqns)
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Noise pollution and its spatial distribution in urban environments (case study: Yazd city, Iran)

Noise pollution and its spatial distribution in urban environments (case study: Yazd city, Iran)

street distances from each other. The number of monitoring stations (points) determined was 122. The distance between these points was determined mainly based on the criteria such as typology and type of road network in the Yazd city, which was linear. Moreover, we considered the activity nodes and their density along the movement axes of Yazd, which were a variety of commercial and workshop uses. Then, the sound level was recorded as a network with a distance of 2 km; the aim of this monitoring was to gain not only the sound level on the roads but also to obtain the amount of sound resulted from different activities within the city. The distance between these monitoring stations (55 points) was determined based on the Yazd city dimension, urban land use zones in different areas of the city, and accessibility hierarchy. After determining monitoring stations, SPL was recorded at crowded hours (8:00-9:00 AM). The reading was repeated twice. Simultaneously, data related to noise were collected during the same time period.
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Evaluation of Road Traffic Noise Pollution in Quetta (Pakistan)

Evaluation of Road Traffic Noise Pollution in Quetta (Pakistan)

Abstract: Pakistan, like other developing countries, is facing the growing problem of traffic noise pollution of the modern world. It is a notable problem of urban areas of the country including Quetta city. The basic cause of this problem is the tremendous increase in traffic volume and lack of proper town planning. This study is the first proper attempt to evaluate the traffic noise level in Quetta city. To estimate the level of road traffic noise, the technique employed is a “regular grid over a map” . This technique generated 60 observation locations across the city covering almost the whole city. The different zones are classified on the standards of US Department of Housing and Urban Development. The measuring points generated so have been divided into four categories depending upon the activities carried out in that region. It is observed that mixed area i.e. “commercial and residential” are at high risk, where the L max is 93.1 dB and the statistical
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A study on ambient and traffic noise pollution in Vijayawada, Andhra Pradesh, India

A study on ambient and traffic noise pollution in Vijayawada, Andhra Pradesh, India

exposure are some of the adverse impacts identified due to traffic noise pollution (Marathe, 2012). Traffic flow is usually represented in terms of Passenger Car Unit (PCU), which represents the same impact that a mode of transport has on traffic variables (such as headway, speed, density) compared to a single car (Wikipedia, 2017). Traffic noise levels are often correlated with PCUs (Tandel et al., 2011, Swain and Shreerup, 2013, Vilas and Nagarale, 2013). Noise level in 12 different major intersection points of Baripada town is measured and analyzed (Swain and Shreerup, 2013) during four different specified times. The equivalent noise levels of all the 12 squares were found to be much beyond the permissible limit during day time. Kavita (2014) studied the noise levels due to vehicular traffic, counted the traffic flow, in peak hours during morning and evening at Akola, and observed that noise levels are very high beyond permissible limits and is predominantly caused due to a very high number of two wheelers. Mondal (2013) studied the vehicle origin noise at twelve different locations in Burdwan during specific time intervals and observed that noise levels are beyond the permissible limits. Based on the survey conducted through a questionnaire related to public health, he inferred that irritation, mental stress, annoyance, sleep loss are some of the adverse impacts caused due to increased noise pollution. Anurag et al., (2013) noticed that the sound levels due to railway and vehicular traffic in Amaravati, Maharashtra, India are 1.5 times the permissible limits of the designated zone and felt an urgent need to control the sound levels.
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Urban Noise: A Case Study in Dire-Dawa City, Ethiopia

Urban Noise: A Case Study in Dire-Dawa City, Ethiopia

In this study recording were taken in seven hospitals in Dire-Dawa city including public hospitals, private and one health center. Figure 1 shows that the average noise measured for eight days during morning from 9:00 to 11:00 AM and in the afternoon from 18:00 to 20:00 PM. The major sources are vehicles like bajaj and forces. The minimum average noise recorded near to Dire health center 56.7 dB in the afternoon; whereas the peak noise was recorded in the afternoon near to Delchora Hospital has a magnitude of 86.91 dB. The results we observed during the morning and night are above the recommended limit set by [4]. The results confirm that in all cases near to hospitals the magnitudes of noise levels are high. This will not give comfort for patients in the hospitals, which aggravated their health problems. In most of the areas the noise levels is exorbitant with more than 80 dB average prevailing across the city during both morning and afternoon. This is mainly attributed towards congested traffic area and unplanned construction of hospitals. Most of hospitals were constructed near to the main lines of traffic and they are affected severely by noise pollution. It is considered as the best indicator of physiological and psychological impact on patients and workers within these hospitals.
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Study Of Noise Pollution At Different Location In Jalgaon City, Maharashtra, India

Study Of Noise Pollution At Different Location In Jalgaon City, Maharashtra, India

Noise pollution becomes a huge problem in all over the world. Jalgaon is fast growing city of Maharashtra, India. It is one of the emerging commercial and industrial city of North Maharashtra. With rapid developments of the city, population of the city increases rapidly. The result of this is increase in number of industries, markets and vehicles in the city. All these causes increase in sound level of the city and create noise pollution. With reference to this in the present investigation sound level at the selected sampling station was studied and compared with standard permissible limits and found that the sound level at both the sampling stations were found more than standard permissible limits. Keywords: Noise pollution, traffic, silent zone, sound level.
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ROAD TRAFFIC AS A SOURCE OF NOISE POLLUTION  (CASE STUDY: TRSTENIK MUNICIPALITY)

ROAD TRAFFIC AS A SOURCE OF NOISE POLLUTION (CASE STUDY: TRSTENIK MUNICIPALITY)

1. AMSS Crossroads – settled at the entrance to Trstenik. It is categorized as: city center, craft, commercial, administrative zone with apartments, zones along highways, main and urban roads (belt exposed to direct noise from the main road, 25m width, on both sides of the road (allowed noise level - day and evening 65 dB, night 55 dB) Measurement was carried out from the yard of the Auto-Moto Association of Serbia, in the vicinity of the intersection of two very busy streets, surrounded by residential buildings and noise from traffic.
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Effect of Road Traffic Noise Pollution in Cuddalore Town: A Case Study

Effect of Road Traffic Noise Pollution in Cuddalore Town: A Case Study

Noise measurements were carried out by using Sound Level Meter YF- 20. Noise levels were measured at 17 stations, Cuddalore old town, Pachayankuppam, Allapakkam, Periya karai kadu, Semmankuppam, Sangolikuppam, Bus stand, Kodandaramapuram, Kandhasamy Naidu college, Poonidiyankuppam, Karaikadu, Vandiyampallam, Semmandalam, Adinarayanapuram , Manjakkupam , Government Higher Secondary School and Government Hospital. Kandhasamy Naidu College, Govt Higher Secondary School and Government Hospital represented the silence zone. Pachayankuppam, Periya karai kadu, Semmankuppam, Sangolikuppam, Kodandaramapuram Poonidiyankuppam and Karaikadu represented the industrial zones. Allapakkam, Sangolikuppam, Semmankuppam and Adinarayanapuram represented the residential zone. Cuddalore old town, Bus stand and Manjakkupam represented the commercial zone At each sampling site six readings were taken after an interval of every 45 minutes. Average, maximum and minimum values were calculated and compared with standards prescribed by the Central Pollution Control Board. A cross- sectional study has been conducted involving 100 randomly selected persons. The age of workers ranges from 20 yr to 55 yr. A comprehensive questionnaire was formulated to assess the subjective information. The questionnaire included age, noise exposure, working hours, use of protective measures, noise annoyance and awareness. The questionnaire was The sound level meter was provided with a windscreen to minimize the influence of wind during measurements. A vehicle count was recorded based on various classifications of vehicles. Measurements were performed in one month from 1 st to 30 th days in June 2012.Before taking the measurements, the sound level meter was suitably calibrated according to level meter producer instructions. The sound level meter was placed on the pavement of the street at a height of about 1.2 m and at a distance of about 7.5 m from the existing road level. Table 3 shows that the Ambient noise standards prescribed by CPCB, New Delhi, India.
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An Investigation of Traffic Noise Pollution Effects on Citizens` General and Mental Health (Case Study: Kermanshah City)

An Investigation of Traffic Noise Pollution Effects on Citizens` General and Mental Health (Case Study: Kermanshah City)

Regarding the subscales of depression and total number, there was seen a meaningful difference among different groups, explaining the effect of noise pollution symptoms in the long term, which ultimately ends up in depression. While, in other subscales, symptoms appear in the short term and cause no difference in different groups. A study for the specification of depression and the investigation of its relationship with workplace noise was carried out on 631 workers. Depression was measured by Beck's test and noise by sound meter. Results showed that the depression prevalence was about 61% and its relationship with noise was meaningful at a probability level of 0.05 (Mirsadeghi, 2001). The analysis of the results of the subscales of the questionnaire, This means that traffic officers and shopkeepers in crowded streets enjoy a lower level of general health in comparison to shopkeepers in uncrowded streets and university students and staff.
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Scenario of Traffic Noise Pollution and its impact on human health: An Empirical Case Study of Kolkata City

Scenario of Traffic Noise Pollution and its impact on human health: An Empirical Case Study of Kolkata City

The discussion has been surveyed in the various traffic intersection points in the city of Kolkata under the jurisdiction of Kolkata Municipal Corporation which is located at 22 0 30'N to 22 0 40'N latitude and 88 0 15'E to 88 0 20'E longitude and has an area of 187.33 km 2 .After the implementation of auto de-licensing policy most of the people from Kolkata wish to purchase their own personalised branded car, as a result huge congestion could be occurred followed by extreme level of traffic congestion could be observed at the busiest traffic intersection points in the city. According to the data obtained from West Bengal Pollution Control Board, ambient noise measurements have been taken by WBPCB and CPCB at 27 locations across residential, commercial, industrial and silence zones in the city of Kolkata from 1993 onwards. Road traffic noise pollution is also alarming and above the permissible standards in the city in today’s context. However vehicular noise pollution is the predominant cause of noise pollution in the Kolkata city. To understand the situation of noise pollution, eight intersection points of the city have been selected. In northern part of Kolkata four traffic nodeshave been selected because these are busiest traffic sites there followed by in southern Kolkata another four busiest traffic pointshave been selected as monitoring sites. Using the Noise Meter noise data record has been collected during peak and lean hours of a day. The selected survey sites are Ultadanga, B.B.D Bag, Shyambazar, Maniktala from north Kolkata whereas Sealdah, Jadavpur, Gariahat and Rashbehari nodes have selected from south Kolkata as survey sites. Permissible Noise limit in Kolkata city
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Study Of Traffic Noise Pollution At Intersection of Major Roads For Akola City (M S)

Study Of Traffic Noise Pollution At Intersection of Major Roads For Akola City (M S)

Johnson and Wood (1971) in their study have mentioned that periodical noise study is most appropriate and less expensive of course, continuous noise study is desirable but not necessary and is more expensive. On the basis of their study they have proved that use of 15 second sampling rates for 5 minutes would permit an accurate and efficient investigation of the sound level of the given area. Also, according to Code BS: 3425-1966, Measurement of noise emitted by motor vehicles, the sample time should be in between 5 minute to 55 minute.
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STUDY OF NOISE POLLUTION DURING GANESH UTSAV IN MUMBAI CITY

STUDY OF NOISE POLLUTION DURING GANESH UTSAV IN MUMBAI CITY

The noise pollution monitoring was carried out only for 5 days. Noise level measurement was done from 18:00 hrs up to 24:00 hrs. The noise measurements were made at the fast response mode keeping in view the quickly changing nature of noise levels. All the measurements were done using recalibrated Sound Level Meters (Type II). The monitoring was carried out at a distance from Ganesh Pandals, closer to the residential buildings. The main purpose of this exercise was to determine how the environment is disturbed and what effect it has on a normal human being residing in that area or closer to the area. Total 25 locations were covered under Mumbai city for present study. The noise levels were monitored with the help of sound meter. The standards of noise level were compared with that of the standard prescribed in Environmental Protection Rules, 1986 and standards of CPCB. Generally ‘Sound Level Meter’ is a n instrument used for measurement of sound (noise). This instrument measures the sound in approximately same way as human ear perceives it, i.e. in terms of pressure difference. Some sound level meters measures the noise as linear sound pressure level (SPL), while some directly as noise equivalent level (Leq). The instrument used for this survey directly measured the sound in terms of Leq.
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PEDESTRIAN RESPONSE TO ROAD TRAFFIC NOISE FOR MEDIUM SIZE CITY IN INDIA

PEDESTRIAN RESPONSE TO ROAD TRAFFIC NOISE FOR MEDIUM SIZE CITY IN INDIA

noise level. From the evaluated result and its comparison with other health standard, it can be noticed that traffic noise affect the health of pedestrians and in future it may lead to hearing damage. Due to increasing trends of traffic in future, the noise level will certainly increase and pedestrians will suffer by adverse effect of noise as they are more exposed to noise annoyance. Calculated TNI value provided dissatisfaction would be greater than 60% as per Langdon and Scholes (1968). TNI values at every location exceed the acceptable limit, so noise level should be controlled using optimized noise control techniques. Hence there is need to improve pedestrian facilities through provision of barriers to control noise pollution in the city.
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ITS IN FUNCTION OF IMPROVING ENVIRONMENTAL PARAMETERS IN THE AREA OF SARAJEVO CANTON

ITS IN FUNCTION OF IMPROVING ENVIRONMENTAL PARAMETERS IN THE AREA OF SARAJEVO CANTON

• Managing transport requirements. The emission of harmful substances from exhaust gases from road motor vehicles can be solved by redirecting personal transport traffic to public city transport in the central city zone. In the city of Sarajevo there is a lack of an integrated system for continuous measurement of the basic air pollution indicators that should currently measure concentrations of air pollution Innovated design of integrated measuring stations is a version that allows the presentation of results on the display, so that citizens at any moment can be aware of the current air quality condition, and it is necessary to note that the presented data on a display represent only the current measured value. Establishing a system of automatic measuring stations contributes to obtaining valid data, which can be used with the help of embedded computing components to create a high quality database, which is the basis for establishing a system in the region and connecting with other institutions. A very important issue is to compare the costs of protective measures in the environmental protection segment with the benefits of improving the overall ecological image and thus achieving optimum protection. Environmental damage caused by transport has not entered the financial construction
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Traffic Demand Management In Three Historic Cities: Results Of A Multivariate Analysis of Business Attitudes.

Traffic Demand Management In Three Historic Cities: Results Of A Multivariate Analysis of Business Attitudes.

The 152 site locations in the final data set have a combined annual turnover of £1.21bn and total employment of 9,344. The sample site locations represent just under 4% of the total estimated employment in the three cities. (See Still, 1999, for detailed profiles of the three urban economies.) As can be seen from Table 6, the average size of the sampled site locations differs markedly across the three cities. In general the final data set tends to include relatively larger sites in Norwich and relatively smaller sites in York. Whereas the average site location in the Norwich sample has an annual turnover of £12.9m, the average annual site turnover in the York sample is only £3.5m. Similarly the average site employment in the Norwich sample is 99 employees but only 35 employees in the York sample. Again this emphasises the importance of using multivariate analysis to control for differences in site size in the analysis of the determinants of business attitudes to traffic problems and proposed policy solutions.
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Modelling the impacts of transport policies on the urban environment

Modelling the impacts of transport policies on the urban environment

In recognition of the magnitude of the air pollution problem caused by road traffic, measures have been taken to control the quantities emitted. Limits on vehicle emissions were first set in Britain in 1973 under the Road Traffic Act 1972 by the M otor Vehicles Regulations 1973 (SI 1973 No 1347). Such statutory limits have been applied to permissible levels of CO, HC and NO^ in petrol vehicle exhausts. The limits have been reduced several times since they were first introduced and changes have been made to the test method to make it more realistic and effective. However, there was no obligation to comply with the limits and the standards based on European regulations were only made compulsory for both petrol and diesel vehicles only from 1 April 1991 (Haigh, 1992). Nowadays, before cars and heavy vehicles can be marketed in Europe, they must be tested and certified to conform with regulated limits on exhaust pollutants emitted. The most recently proposed standards applied to new vehicles were implemented in the beginning of 1993. They show a reduction of about 80 percent compared with the limits from two decades before. This does not mean, however, that emissions from vehicles in use remain at the design level, especially when the vehicle becomes old or is poorly maintained (Department of Transport et al., 1993). Table 3.4 shows the past, current and future regulation emission limits for light vehicles.
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Industrial Noise Pollution and Its Impact on the Hearing Capacity of Workers: A Case Study of Gujranwala City, Pakistan

Industrial Noise Pollution and Its Impact on the Hearing Capacity of Workers: A Case Study of Gujranwala City, Pakistan

Pakistan. In the northern side of the district located river Chenab and district Sheikhupura lie in the southern border of the Gujranwala. District Hafizabad located in the western border of the district and Sialkot lies at the eastern side of the Gujranwala. There are some major places in Gujranwala like Qila Didar Singh, Ladhaywala Warriach, Talwandi Rahwali, Nandipur, Khanki Headworks, Kamoke, Nowshera Virkan, Wazirabad, Dhaunkal, Rasul Nagar, Sohdra and Alipur Chatta (GOP, 2000). It is the districts headquarter of the Gujranwala, Hafizabad, Sialkot, Gujrat and Narowal. Gujranwala is situated on the main railroad track connecting Lahore and Peshawar. The city distance from other major cities of Pakistan like Lahore is about 63 kilometers, Rawalpindi is 200 kilometers. Important roads of the city are Grand Trunk road, Circular road, Gujranwala Sialkot road and Kutchery road. The estimated population of Gujranwala is 3,400,940, and the population density is 939 persons per square kilometers (GOP, 2000; Minallah, 2016). Gujranwala is an industrial city and the people have to work in light and heavy manufacturing. Major industries are chemicals, food products, and textile and engineering goods. Different types of goods made in the engineering sector like fans, electric washing machines, electric motors and air conditioners. Other industries are steel rolling mills, edible oil and ghee, sugar mills, paper boards, hosiery, marbles and sanitation.
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NOISE POLLUTION ANALYSIS IN THANE CITY OF MAHARASHTRA

NOISE POLLUTION ANALYSIS IN THANE CITY OF MAHARASHTRA

It is more severe and widespread than ever before, and it will continue to increase in magnitude and severity because of population growth, urbanization, and the associated growth in the use of increasingly powerful, varied, and highly mobile sources of noise.The potential health effects of noise pollution are numerous, pervasive, persistent, and medically and socially significant. Noise produces direct and cumulative adverse effects that impair health and that degrade residential, social, working, and learning environments with corresponding real (economic) and intangible (well-being) losses. It interferes with sleep, concentration, communication, and recreation.
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IoT Based Noise Pollution Reduction in Traffic Jams

IoT Based Noise Pollution Reduction in Traffic Jams

The sensors that are located near the signals and other points sense the sound level around and send this information to the server. If the sound level is above a certain threshold (around 60dB) the value for the intensity of the horn is reduced. All the vehicles around that sensor read this updated value from the server and accordingly the intensity of its horn will be reduced. This ensures that the sound intensity coming out of the vehicles is kept in check and unnecessary honking doesn’t add to the overall noise

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Application of GIS in Urban Traffic Noise Pollution

Application of GIS in Urban Traffic Noise Pollution

Large urban areas are facing growing problems of noise pollutions. Geospatial Information Systems (GIS) can conveniently be adapted to gather, analyze and present noise information. GIS can also be extended to answer to user specific problems through deterministic and statistics models. The objectives of this research were to measure urban traffic noise levels, analyze temporal and spatial dynamics of urban traffic-induced noise pollution in the first districted of Tehran estimate the noise for pollution concentration, assess the results of Federal Highway Administration Traffic Noise Model (FHWA-TNM) and Iranian Traffic Noise Predictor (ITNP); and represent them in a GIS environment. Measurements were done at the traffic peak time and also when the traffic was at its minimum, during three successive months. In this study, L eq , L 10 , L 50 , L 90 , L max and L min were gathered. The results demonstrated that most of
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