scholarly journals The Impact of Noise Pollution on Workers’ Health in Selected Industries of Mirzapur Industrial Area, Tangail, Bangladesh

2017 ◽  
Vol 9 (2) ◽  
pp. 155-160 ◽  
Author(s):  
S Alam ◽  
ST Akter ◽  
MS Sheikh ◽  
I Bahar
Keyword(s):  
Noise Level ◽  
Heart Diseases ◽  
Noise Pollution ◽  
Industrial Area ◽  
Noise Levels ◽  
Textile Mill ◽  
Night Time ◽  
Noise Sources ◽  
Spinning Mill ◽  
The Impact

The unwanted and intolerable sound causes noise. The study was conducted through interviewing of workers and measuring of noise levels on six types of industries. The data were collected on April, May and June, 2013. The data of noise levels were measured at main gate, administration office and working place of the selected industries. The noise level at the working places during day time of the selected industries were 81.50 dB (textile mill), 104.20 dB (cotton mill), 90.50 dB (jute mill), 95.90 dB (spinning mill), 89.25 dB (knit and garments factory) and 83.50 dB (knitting factory), respectively. All the recorded noise level data in working places of the industries exceeded the DoE standard (75 dB at day time and 70 dB at night time) that caused noise pollution. The important contributors of noise pollution were machineries and overcrowding of the workers in the industry. Most of the common impacts of noise pollution were headache, heart diseases and hearing problem. To resolve the noise problem in industry it was suggested to eliminate the noise sources substituting noisy machineries and so on.J. Environ. Sci. & Natural Resources, 9(2): 155-160 2016

scholarly journals An Evaluation of Urban Environmental Noise Pollution in Durres Municipality

2021 ◽  
Vol 17 ◽  
pp. 1106-1113
Author(s):  
Marsida Klemo ◽  
Osman Metalla ◽  
Azem Hysa ◽  
Elvis Cela ◽  
Abdulla Diku ◽  
...  
Keyword(s):  
Noise Level ◽  
Sleep Disturbances ◽  
Action Plan ◽  
Noise Pollution ◽  
Industrial Area ◽  
Environmental Noise ◽  
Intensity Level ◽  
Noise Levels ◽  
Night Time ◽  
The Republic

Durres is the second most populous place on the Republic of Albania. This paper was focused in the evaluation of noise level at different areas of Durres Municipality which were categorized based on their activities like industrial, commercial and residential. The main purpose of environmental noise monitoring was to assess the situation in Durres Municipality, to value the degree of impact on citizens and to create a database to better address the problems, in order to build an effective action plan to improve the situation in problem areas. Monitoring has two basic objectives, such as: to protect us from noise that hinders and disrupts our daily activity and to protect us in the future from increasing noise levels that would bring concerns to people and quality of the environment. To realize this study was used TESTO 816-1 supply that measures noise intensity level of a certain area. Measurements were carried out in different conditions of humidity and wind velocity, during morning and night time, from February 2019 to December 2020. Duration of each measurement was 15 min. The results of this study revealed that the average equivalent noise level was: i) in the commercial area (during morning time 51.92 dB, during night time 46.8 dB), in the industrial area (during morning time 57.69 dB, during night time 45.31 dB) and in the residential area (during morning time 53.59 dB, during night time 44.46 dB). As a conclusion it was evidenced that the noise levels for all the areas were over the permissible levels of 50 dB (during morning) and for commercial and industrial area were over 45 dB (during night). Also it was concluded that the consequences of these high levels cause moderate and serious annoyance for residents during the day and sleep disturbances (if windows are open) during the night. This paper suggests some improvements to decrease side effects of noise pollution.

scholarly journals Assessment of Temporal Distribution of Noise Pollution in Delhi using ArcGIS

2021 ◽  
Vol 23 (11) ◽  
pp. 313-320
Author(s):  
Raunak Sinha ◽  
Keyword(s):  
Noise Level ◽  
Research Study ◽  
Temporal Distribution ◽  
Noise Pollution ◽  
Noise Levels ◽  
Night Time ◽  
Land Use Pattern ◽  
Major City ◽  
Almost All ◽  
Level Government

Noise pollution affects day-to-day life both mentally and physically. Hence, it’s a growing problem in every major city of the world. Many diseases have been proven to be associated directly with rise in noise level. To combat the noise level government agencies have laid down certain guidelines which suggest noise level in different location to be in prescribed limits. These noise limits is different for different land-use pattern and also different for different timings also. Daytime generally experiences more noise level than night time in almost all the locations. In present study, noise level of a particular day of 24 hr is taken from 26 locations. These noise levels are used to construct noise map in ArcGIS for Delhi for both daytime ad night time. These noise maps are used to present a comparative study of noise pollution between daytime and night time. Research Study suggest that in the daytime most of the area of Delhi experiences 55-60 dB noise level while in the night time it is experienced that most of the location in Delhi, noise level is 50-55 dB.

Adaptive Differential Evolution Optimization-Based Noise-Level Measurement for High-Speed Railways

2021 ◽  
pp. 036119812098300
Author(s):  
R. Ganesh Babu ◽  
C. Chellaswamy ◽  
T. S. Geetha
Keyword(s):  
Differential Evolution ◽  
Noise Level ◽  
High Speed ◽  
Noise Pollution ◽  
Noise Levels ◽  
High Speed Railway ◽  
Railway Systems ◽  
Level Measurement ◽  
Adaptive Differential Evolution ◽  
The Impact

This paper deals with the possibilities of estimating noise pollution created by high-speed railway systems in nearby locations. Railway systems have significant effects on the environment. Therefore, a college campus situated near a high-speed railway was selected as the study area. In this paper, an adaptive differential evolution optimization (ADEO) algorithm-based noise-level measurement is proposed. Various measurements such as the noise levels indoors, outdoors, and near the track were carried out in the college area and applied to ADEO for optimization. A study of the impact of railway noise on student learning was made. ADEO was used to predict the maximum noise level and the maximum noise distribution in the college area through the model. An experimental study was performed, and the results were compared with the estimated results. The results indicated the consistency of both the estimated and experimental results and the error as less than 1 dBA; the noise level exceeded 65 dBA in a few classrooms. Therefore, the proposed noise measurement for high-speed railway based on the ADEO technique has been considered as the most effective and superior optimization tool.

scholarly journals A Study on Noise Pollution of Gazipur City Corporation

2015 ◽  
Vol 7 (2) ◽  
pp. 17-23
Author(s):  
MB Latif ◽  
MS Islam ◽  
MS Ali
Keyword(s):  
Noise Level ◽  
Heart Diseases ◽  
Noise Pollution ◽  
Building Design ◽  
Industrial Sector ◽  
Engineering Controls ◽  
Standard Level ◽  
The Common ◽  
The Impact ◽  
Minimum Noise

The study was conducted in 4 industries, 4 bus stands and 3 hospitals/clinics through interviewing of workers, staffs of the industries and traffic polices, drivers, passersby, road nearest shopkeepers and patients, nurses, staffs, doctors and other peoples of the medical institutes. Environmental multi-function meter was used to measure the noise intensity (dB) as instrumental survey. From the study it was found that in the industrial sector minimum noise level was 84.71 dB and maximum noise level was 105 dB, in the hospitals/clinics minimum noise level was 75 dB and maximum noise level was 89 dB and in the traffic places minimum noise level was 78 dB and maximum noise level was 107 dB which were crossed the standard level of noise. The traffic places, medical institutes and industries of Gazipur City Corporation were in critical condition in the cases of noise pollution. The major causes of noise pollution in industries were using of old machines, lack of engineering controls, lack of knowledge of authority of the industries about the impact of noise pollution, poor maintenance of the tools, building design and lack of noise reducing instruments. Questionnaire survey determined the noise related health impacts on respondents. The common impacts of noise pollution which they suffered from were headache, heart diseases, hypertension and hearing problem.DOI: http://dx.doi.org/10.3329/jesnr.v7i2.22198 J. Environ. Sci. & Natural Resources, 7(2): 17-23 2014

scholarly journals Characterization of Noise Level Inside a Vehicle under Different Conditions

Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2471 ◽  
Author(s):  
Daniel Flor ◽  
Danilo Pena ◽  
Luan Pena ◽  
Vicente A. de Sousa ◽  
Allan Martins
Keyword(s):  
Regression Analysis ◽  
Noise Level ◽  
Acoustic Noise ◽  
Experimental Setup ◽  
Strongly Correlated ◽  
Noise Levels ◽  
Noise Sources ◽  
Statistical Tools ◽  
Window Position

Vehicular acoustic noise evaluations are a concern of researchers due to health and comfort effects on humans and are fundamental for anyone interested in mitigating audio noise. This paper focuses on the evaluation of the noise level inside a vehicle by using statistical tools. First, an experimental setup was developed with microphones and a microcomputer located strategically on the car’s panel, and measurements were carried out with different conditions such as car window position, rain, traffic, and car speed. Regression analysis was performed to evaluate the similarity of the noise level from those conditions. Thus, we were able to discuss the relevance of the variables that contribute to the noise level inside a car. Finally, our results revealed that the car speed is strongly correlated to interior noise levels, suggesting the most relevant noise sources are in the vehicle itself.

Noise Pollution in Onitsha Metropolis: Challenges and Solution

2021 ◽  
Vol 1 (2) ◽  
pp. 032-040
Author(s):  
Chris Onyeka Ekweozor ◽  
Johnbosco Emeka Umunnakwe ◽  
Leo O Osuji ◽  
Vincent C Weli
Keyword(s):  
State Government ◽  
Noise Level ◽  
Control Point ◽  
Noise Pollution ◽  
Health Impact ◽  
Dry Season ◽  
Noise Levels ◽  
Wet Season ◽  
High Noise ◽  
Anambra State

This study evaluated noise pollution in Onitsha metropolis, Anambra State, Nigeria in 2019. Noise levels were measured at forty sampling stations in the morning, afternoon and night within the study area for dry and wet seasons using modern noise level instruments. A control point was established at ldeani/Nnobi Junction with coordinates N 06o 05’.282’’ E 006o 55’.891’’ which was used as a reference point and for comparison with the sound levels recorded in designated locations. The results showed that the maximum noise level in the study area exceeded the Federal Ministry of Environment (FMEnv) limit by 7.8% in the dry season and by 13.11% in the wet season. Noise LAeq exceeded the NESREA LAeq limit by 29.89% in the dry season and by 33.44% in the wet season. The study indicated that the mean noise levels in the dry and wet seasons were within FMEnv limit of 90dB .It also showed that high noise levels were recorded around major junctions and market places within Onitsha, which are harmful to public health. The study further showed that transportation activities and trading activities at the market places are the main sources of high noise levels in the study area. Health impact assessment should be conducted in Onitsha metropolis for residents. State government should enforce compliance laws and regulate the activities of industries in the areas.

scholarly journals Status of noise pollution in urban area of Dharan Sub- Metropolitan City and Inaruwa Municipality of Sunsari District, Nepal

2017 ◽  
Vol 7 (1) ◽  
pp. 35-40
Author(s):  
Ranij Shrestha ◽  
Alankar Kafle ◽  
Kul Prasad Limbu
Keyword(s):  
Sound Pressure Level ◽  
Sound Pressure ◽  
Pollution Assessment ◽  
Noise Pollution ◽  
Pressure Level ◽  
Noise Levels ◽  
Night Time ◽  
Level Measurement ◽  
Standard Value ◽  
Autumn And Winter

The environmental noise level measurement in Dharan and Inaruwa cities of eastern Nepal were conducted and compared with the ambient noise standards provided by Government of Nepal. The noise pollution assessment was performed in autumn and winter seasons by the indicator average day time sound pressure level (Ld, during 7.00 to 22.00 hrs) and average night time sound pressure level (Ln, during 22.00 to 7.00 hrs). The Ld and Ln values at the commercial, silence and residential zones of Dharan were 78 to 82 and 72 to 73, 65 to 73 and 60 to 70, 65 to 76 and 62 to 64 dB(A) in autumn and 78 to 79 and 72 to 76, 64 to 71 and 58 to 68, 63 to 74 and 60 to 62 dB(A) in winter, respectively whereas for Inaruwa, measurement were 75 to 77 and 73 to 75, 59 and 57, 67 and 60 dB(A) in autumn and 66 to 70 and 63 to 68, 55 and 53, 65 and 58 dB(A) in winter, respectively. The results showed that noise levels exceeded the standard value at most of the sites.

scholarly journals Appraisal of Noise Level Dissemination Surrounding Mining and Industrial Areas of Keonjhar, Odisha: a Comprehensive Approach Using Noise Mapping

2017 ◽  
Vol 42 (3) ◽  
pp. 423-432 ◽  
Author(s):  
Satish K. Lokhande ◽  
Satyajeet A. Dhawale ◽  
Samir S. Pathak ◽  
Rakesh Gautam ◽  
Mohindra C. Jain ◽  
...  
Keyword(s):  
Noise Level ◽  
Sound Level ◽  
Noise Levels ◽  
Night Time ◽  
Noise Mapping ◽  
High Noise ◽  
Sensitive Areas ◽  
Sound Levels ◽  
Directorate General ◽  
Open Cast

Abstract Noise mapping is a well-established practice among the European nations, and it has been follow for almost two decades. Recently, as per guidelines of the Directorate General of Mines Safety (DGMS), India, noise mapping has been made mandatory in the mining expanses. This study is an effort to map the noise levels in nearby areas of mines in the northern Keonjhar district. The motive of this study is to quantify the existing A-weighted time-average sound level (LAeq,T ) in the study area to probe its effects on the human dwellings and noise sensitive areas with the probability of future development of the mines, roads, and industrial and commercial zone. The LAeq,T was measured at 39 identified locations, including industrial, commercial, residential, and sensitive zones, 15 open cast mines, 3 major highways, and 3 haulage roads. With the utilisation of Predictor LimA Software and other GIS tools, the worked out data is mapped and noise contours are developed for the visualisation and identification of the extent and distribution of sound levels across the study area. This investigation discloses that the present noise level at 60% of the locations in silence and residential zone exposed to significantly high noise levels surpasses the prescribed limit of Central Pollution Control Board (CPCB), India. The observed day and night time LAeq, T level of both zones ranged between 43.2-62.2 dB(A) and 30.5-53.4 dB(A), respectively, whereas, the average Ldn values vary between 32.7 and 51.2 dB(A). The extensive mobility of heavy vehicles adjoining the sensitive areas and a nearby plethora of open cast mines is the leading cause of exceeded noise levels. The study divulges that the delicate establishments like schools and hospitals are susceptible to high noise levels throughout the day and night. A correlation between observed and software predicted values gives R2 of 0.605 for Ld, 0.217 for Ln, and 0.524 for Ldn. Finally, the mitigation measure is proposed and demonstrated using a contour map showing a significant reduction in the noise levels by 0-5.3 dB(A).

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 Experimentally increased noise levels change spatial and singing behaviour

2013 ◽  
Vol 9 (1) ◽  
pp. 20120771 ◽  
Author(s):  
Kirsty Elizabeth McLaughlin ◽  
Hansjoerg P. Kunc
Keyword(s):  
Noise Source ◽  
Noise Pollution ◽  
Erithacus Rubecula ◽  
Noise Levels ◽  
Acoustic Environment ◽  
Animal Populations ◽  
Suitable Habitats ◽  
Free Ranging ◽  
The Impact ◽  
New Infrastructure

The reasons why animal populations decline in response to anthropogenic noise are still poorly understood. To understand how populations are affected by noise, we must understand how individuals are affected by noise. By modifying the acoustic environment experimentally, we studied the potential relationship between noise levels and both spatial and singing behaviour in the European robin ( Erithacus rubecula ). We found that with increasing noise levels, males were more likely to move away from the noise source and changed their singing behaviour. Our results provide the first experimental evidence in a free ranging species, that not merely the presence of noise causes changes in behaviour and distribution, but that the level of noise pollution plays a crucial role as well. Our results have important implications for estimating the impact of infrastructure which differs in the level of noise produced. Thus, governmental planning bodies should not only consider the physical effect on the landscape when assessing the impact of new infrastructure, but also the noise levels emitted, which may reduce the loss of suitable habitats available for animals.

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