Noise Pollution

6. Bit Saeed N, Monazzam Ismailpour R, Sehkavatjo MS, Moatar RF. Evaluation of noise pollution in Ahwaz Oil Hospital and its omparison with environmental standard. [Poster] at: Proceedings of 5th Specialized Conference on Environmental Engineering; 2011 nov 21-22; Iran, Tehran. Tehran: Tehran university; 2011. [Persian]

The noise level measurement was carried out to assess the traffic generated noise in AngulTown Campus during the month of March 2015 and April 2015. Extech’s Datalogging Sound Level Meter (model 407764) was used to measure the noise level. In the present work twelve locations were selected for the study. The measurements of noise levels at the building facades were carried out in three different time intervals of the day i.e. in the morning 8-10am, midday 11am-1pm and in the evening 6-8pm. The instrument was set to record noise samples at 2 sec intervals during the 10 minutes of exposer time. Equivalent sound pressure level ( ,noise climate (NC) and noise pollution level( were computed for statistical analysis of noise level. The present study reveals that the noise levels exceed the prescribed noise standard set by the Central Pollution Control Board, India (CPCB, 1998). The results of the analysis suggest that the maximum equivalent noise level was in the morning 9-11am and minimum in the midday at 11am- 1pm.

Poor urban planning may give rise to noise pollution, since side-by- side industrial and residential buildings can result in noise pollution in the residential area. In this paper we represent the noise pollution with an H v -semigroup. More specific, we introduce the concept of

Noise map is an outstanding tool for controlling noise level in urban areas and thus helps greatly in town planning and is regarded as a useful tool to improve the level of environmental noise pollution. Noise map is considered as a power full tool to get the visual acoustic behavior of any geographical region, hence it is helpful to improve to environmental conditions regarding noise pollution and better town planning. So we made a noise map which is not only based on the data of that sixty location but besides that we have collected the data of thirty other locations.

Noise pollution is displeasing human or machine created sound that disrupts the activity or balance of human or animal life. A common form of noise pollution is from transportation, principally motor vehicles. The word "noise" comes from the Latin word nausea meaning "seasickness", referring originally to nuisance noise.

The main contributor to these figures is the noise generated by honking from vehicles such as cars, bikes and trucks. In the same study, it was noted that vehicular honking in cities has reached an alarming level and contributes approximately 70% of the noise pollution in our environment.

When having prolonged exposure, noise will have far-reaching detrimental effects; moreover, coupled with the increasingly urbanised environment characterized by a high density of living in high-rise residences, the ca- pability of noise pollution to affect a larger proportion of people also increases; quality of life is also under- mined, especially during night-time. Other negative impacts that are related to the quality of life include undue alterations in the everyday behaviour of individuals; examples include preventing the use of residential areas such as balconies and common areas due to excessive noise levels as well as the shutting of windows in homes to prevent noise emission [4].

The Noise Pollution level was observed at different parks of Lucknow City on the end of the week (Saturday and Sunday).The time term taken for concentrate between 7am to 11am (crest period) in morning and from 4 pm to 8 pm during night. For this reason 2 areas containing Silent zone (viz. Arvindo park and Janeshwar Misra park) chose inside the city. The clamour levels were checked with the guide of SPL (Sound weight level)sound meter. The principles of clamour level were contrasted and that of the gauges endorsed in Environmental Protection Rules, 1986 and benchmarks of CPCB4.According to suggested commotion measures, as far as possible for clamour level in Silence Zone during day is 50dB and in night is 40dB .

Noise is a disturbing and unpleasant sound and refers to subjective definition of sound. A sound can have a series of different physical features. However, it becomes noise when it has negative physiological or psychological impact on a human being, e.g. causes health impair- ments and behavioral disorders. In the animal kingdom the high levels of noise may inter- rupt natural cycles, such as animal eating habits, coupling, and migration paths, or even cause the extinction of animal species living in noise polluted environment. Undoubtedly, modern forest operations cause noise in the forest. The goal of this research is to study the level of noise pollution as well as stand and terrain conditions influencing noise spreading in forest environment. It was established that the total chain saw noise power equals the wind noise at the distance of 140 m, whereas the sound levels up with that of forest silence at 252 m. The chain saw noise is similar to background noise at distances of 60–80 m and fre- quencies below 80 Hz and above 12.5 kHz. Consequently, this means lesser impact on natu- ral environment in these frequency bands. The hypothesis was not confirmed, i.e. that verti- cally screened forest attenuates noise spreading more successfully than vertically non- screened forest: the difference emerges due to sound reflections in vertically screened forest, causing less sound absorption. However, the differences were confirmed at the distance of 80 m regarding noise attenuation in different seasons: winter – summer (difference of 11.92 dB), spring – summer (difference of 6.89 dB), and insignificant between winter and spring.

ABSTRACT: We investigated the issue of noise pollution in the Bidboland gas refinery by noise measurement and surveys. The Bidboland gas refinery has several process units. The sound pressure levels were measured at several places, such as units of 200, 300, 400, 500, boiler, powerhouse area, cooling towers pumps, and maintenance area, and the corresponding noise maps were produced by using sound plan software. We identified the sources of noise pollution. We first measured the mean A-weighted sound pressure level in each study unit and analyzed the obtained data in Microsoft Excel. The noisiest units were identified and some suggestions were offered to reduce the sound exposure level. It was specifically noted through the surveys that the noise levels detected in all tested industries was much above 80 dBA limit specified by regulations. In lieu, various measures to control the noise pollution were contemplated and discussed.

The present work is devoted to the assessment of noise pollution in the residential quarter, located in Bolshoye Savino in city of Perm from aircraft Municipal Airport .The authors conducted a quantitative and qualitative assess- ment of the acoustic characteristics of the noise source, represented by fl ying over an aircraft, by theoretical calcula- tions and by the computer simulation and optimization, in accordance with current Russian sanitary regulation for noise. Conducted evaluation of existing sound levels at the objects of protection. Exceeded regulatory allowable values of the expected sound levels at the objects of protection. Developed science-based list of activities for the noise protection of the surveyed objects based on the effectiveness of sound proofi ng. The design of a special noise- reducing hiding areas recreation area in the study area.

Noise pollution is the disturbing or excessive noise that may harm the activity or balance of human or animal life. Since, roadways has plethora of vehicular traffic, there is so much of air, and land pollution that they can lead to, but, there are indications of it triggering noise pollution. The noise pollution that is being discussed here is not only dependent on the vehicles and their honks, but the hoard of people who gather on the roads and hawkers as well who have a major contribution to it too.

26. Nassiri P, Zare M, Golbabaei F. Evaluation of noise pollution in oil extracting region of Lavan and the effect of noise enclosure on noise abatement. Iran occupational health. 2007;4(3):49-56. [Persian] 27. Newaz MT, Davis PR, Jefferies M, Pillay M. Developing a

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

The present paper deals with monitoring of Noise Pollution at different places of Mumbai City on the day of Ganesh immersion. During the present study the noise levels were measured with the help of sound measuring instrument by MPCB. The Noise Pollution is increasing considerably. By using sound measuring instrument noise levels are measured at different locations particularly during Ganesh immersion It was understood clearly from our study that the noise levels are elevated the main sources of noise pollution are loud speakers D.J., drums Major effects of noise pollution include interference with communication, sleeplessness and reduced efficiency Public education appears to be the best method as suggested by the respondents.

The unit of sound intensity is decibel (dB). The sound intensity from 0 to 100 dB is pleasant but when the sound intensity exceeds 120 dB, it causes noise. So, sound of more than 130 dB causes noise pollution. Usually 80 dB is the level at which sound becomes physically painful. The main threat of noise comes from transport sector in this case road traffic noise where high and faster moving ve- hicles produce high noise from their gear boxes, exhaust system, vibrations from their body, etc. With the increasing number of vehicles in Windhoek, road traf- fic noise is the most common source of noise pollution; this may be as the result of a large number of vehicle congestion during peak hours on the same road sec- tion. Therefore, we considered to be worthwhile tracking noise on a street in the central area of Northern Industrial in time slot between 08h00 - 16h00.

The cost of reducing night time noise pollution coefficients were found to be negative and significant at the 99% confidence level with t-ratio values of -5.2 and -6 .7 for models M3 and[r]

noise pollution at hospitals is a caused by patients, employees, and visitors and may be a result of the air conditioning system, transportation inside the hospital, hospital speakers and sound systems, and external sources including traffic in adjacent streets, the noise of entering and exiting the hospital, ambulances, car horns, etc. therefore, hospitals are one of the most important service environments whose noise can have a significant effect of the health of society. [6-8]

A new problem of noise pollution emerged in recent years in India is an outcome of the indiscriminate use of loudspeakers. Its indiscriminate use from religious places and in performance of religious ceremonies and discourses sometimes makes it so difficult for the people to enjoy their basic freedoms with all human dignity. No doubt in India, enactments for environmental protection exist, but the gravity of the problem of noise pollution has not yet been realized by the Government. However, noise has been included within Section 2 of the Air Pollution Act and further under section 6(b) of the Environment Protection Act enabling the Central Government to enact the rules for the control of noise pollution. In pursuance thereof the Government notified Ambient Air Quality Standards in respect of noise. The Central Pollution Control Board has also approved Noise Standards for different sources of noise, which have not yet been notified by the Government.

The choice of UNA town NH8E as the study area (see Figure 1) was due to the fact that this road could serve as a typical traffic noise pollution source as it becomes the important operating route connecting Bhavnagar and Somnath. Noise level is unavoidably high and yet it is given little or no consideration on environmental policies, implementation and enforcement. Here limestone business is most prominent which grabs revenue of nearly 80-90 crores per month and has becoming the main transit access road, which qualifies it as a good sampling area to gather data to generate a representative model for traffic noise pollution. The study has been completed in Una Town (Figure 1) located at 20.8235°N, 71.0409°E Gujarat which is growing unevenly on the edges of NH 8E. The noise levels were measured at three different sites: