scholarly journals Investigation of Noise Pollution Distribution in Different Parts of Yazd Textile Factories

2021 ◽  
Author(s):  
Mohammad Javad Zare Sakhvidi ◽  
Hamideh Bidel ◽  
Ahmad Ali Kheirandish
Keyword(s):  
Occupational Exposure ◽  
Sound Pressure Level ◽  
Textile Industry ◽  
Sound Pressure ◽  
Noise Pollution ◽  
Sound Level ◽  
Pressure Level ◽  
Cross Sectional ◽  
Sound Pressure Levels ◽  
Different Parts

 Background: Chronic occupational exposure to noise is an unavoidable reality in the country's textile industry and even other countries. The aim of this study was to compare the sound pressure level in different parts of the textile industry in Yazd and in different parts of the textile industry. Methods: This cross-sectional study was performed on 930 textile workers in Yazd. A questionnaire was used to obtain demographic information and how to use protective equipment. Then, to obtain the sound pressure level of each unit and device and to use the measurement principles, a calibrated sound level meter was used. Then the results were analyzed using SPSS Ver.29 software. Results: The participants in this study were 714 males and 216 females with a mean age of 35.27 and 33.63 years, respectively. Seven hundred fifty-six participants (81.29%) were exposed to sound pressure levels higher than 85 dB. Among the participants, only 18.39% of the people used a protective phone permanently. Except for factory E, with an average sound pressure level of 77.78 dB, the rest of the factories had an average sound pressure level higher than the occupational exposure limit. The sound measurement results of different devices show that the sound pressure levels above 90 dB are related to the parts of Dolatab, Ring, Kinetting (knitting), Chanel, Autoconer, Dolakni, Open End, MultiLakni, Tabandegi, Texture, and Poy. Conclusion: Based on the results of the present study, noise above 90 dB is considered as one of the main risk factors in most parts of the textile industry (spinning and weaving), which in the absence of engineering, managerial or individual controls on it causes hearing loss in becoming employees of this industry

scholarly journals “Horário do Soninho”: uma estratégia para reduzir os níveis de pressão sonora em uma unidade de terapia intensiva neonatal

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Adriana Duarte Rocha ◽  
Patricia Miranda Sá ◽  
Danielle Bonotto Cabral Reis ◽  
Ana Carolina Carioca Costa
Keyword(s):  
Intensive Care ◽  
Sound Pressure Level ◽  
Sound Pressure ◽  
Pressure Level ◽  
Quiet Time ◽  
Cross Sectional ◽  
Significant Difference ◽  
Sound Pressure Levels ◽  
Terapia Intensiva ◽  
Tiempo De Silencio

ResumoIntrodução: Estudos mostram que o ambiente muito estimulante, com altos níveis sonoros, interfere negativamente no desenvolvimento e crescimento de recém-nascidos. Objetivo: verificar se o "horário do soninho" é capaz de reduzir os níveis de pressão sonora em uma unidade de cuidados neonatais. Método: Trata-se de uma pesquisa transversal. A medida do nível de pressão sonora foi realizada durante 15 dias não consecutivos, com tempo de avaliação de 30 minutos antes, 1 hora durante e 30 minutos após o "horário do soninho" Resultado: Observamos uma redução dos níveis de pressão sonora durante o "horário do soninho" (p = 0,00). Essa redução permaneceu no período dos 30 minutos subsequentes, com diferença estatisticamente significante quando comparada ao período antes do "horário do soninho" (p = 0,00). Conclusão: O "horário do soninho" é uma ferramenta capaz de reduzir o nível de pressão sonora em uma unidade de terapia intensiva neonatalPalavras-Chave: ruído; Terapia Intensiva neonatal; Recém-nascido AbstractBackground: Studies show that super stimulating environment, with high sound levels, that negatively interfere in the development and growthof newborns. Aim:  Verify if the "quiet time" is able to reduce the sound pressure levels in a neonatal care unit. Method: It is a cross-sectional research. The measurement of the sound pressure level was performed during 15 non-consecutive days with an evaluation time of 30 minutes before, 1 hour during and 30 minutes after the "quiet time" Result: We observed a reduction of the sound pressure levels during the hours of quiet time (p = 0.00). This reduction remained in the period of the subsequent 30 minutes, with a statistically significant difference when compared to the period before sleep time (p = 0.00). Conclusion: The “quiet time is a tool capable of reducing sound pressure level in a neonatal intensive care unitKey Words: noise; Intensive Care, neonatal; Infant, newborn Resumen"Tiempo de silencio": una herramienta para reducir los niveles de presión acústica en una unidad de cuidados intensivos neonatalesAntecedentes: los estudios muestran que el entorno súper estimulante, con altos niveles de sonido, interfiere negativamente en el desarrollo y crecimiento de los recién nacidos. Objetivo: Verificar si el "tiempo de silencio" puede reducir los niveles de presión acústica en una unidad de cuidados neonatales. Método: es una investigación transversal. La medición del nivel de presión sonora se realizó durante 15 días no consecutivos con un tiempo de evaluación de 30 minutos antes, 1 hora durante y 30 minutos después del "tiempo de silencio" Resultado: Observamos una reducción de los niveles de presión sonora durante las horas de tiempo de silencio (p = 0.00). Esta reducción se mantuvo en el período de los siguientes 30 minutos, con una diferencia estadísticamente significativa en comparación con el período anterior al tiempo de sueño (p = 0,00). Conclusión: el “tiempo de silencio es una herramienta capaz de reducir el nivel de presión acústica en una unidad de cuidados intensivos neonatales Palabras clave: ruido; Cuidados Intensivos, neonatales; Infante, recién nacido

scholarly journals Sources of Noise Pollution in Mashhad Railway Station

2019 ◽  
Author(s):  
Afsaneh Sadeghi ◽  
Fatemeh Mehrafshan ◽  
Mohammad Hosein Beheshti
Keyword(s):  
Sound Pressure Level ◽  
Sound Pressure ◽  
Noise Pollution ◽  
Dominant Frequency ◽  
Sound Level ◽  
Pressure Level ◽  
Noise Generator ◽  
Control Measures ◽  
Initial Assessment ◽  
Railway Station

Background: Exposure to noise is an important safety and health problem in many industries. The rail transport industry is one of the industries involved with this problem due to the variety of equipment and its scope.  The present study aimed to evaluate noise pollution and determine the sources of noise at Mashhad railway station. Methods: In this descriptive-analytic study in 2014, the departments with noise pollution were identified and studied based on an initial assessment of all parts of the railway station. Noise was measured in ten departments and units. The environmental and local noise was measured by calibrated sound level meter Model CEL485 in A and C networks according to ISO9612 and ISO 11200 standards. Then the collected data entered and analyzed in Surfer V.10 and Excel software. Results: The results of noise measurement showed that the average sound pressure level in units of Diesel GM, repair shop, refueling station, Diesel Siemens, and platform 3 was in hazard range. The results of measurement of the average sound pressure level in departments and units and the isosonic mappings drawn by Surfer V.10 software as well as the results of the average noise level in GM diesel showed that GM diesel (with LP=87.60 dB (A)) is the main source of noise at Mashhad railway station. The results of this study showed that diesel engines, gearboxes, moving trains, and beeps are the main noise generator components in GM diesel. The highest mean sound pressure level among these components was related to the diesel engine with an average sound pressure level of 87.60 dB (A). In general, the average sound pressure level of this diesel was 95.45 dB in the dominant frequency of 63 Hz. Conclusion: Based on the result of this study, GM diesel plays a major role in transporting at Mashhad railway station, accordingly the design and implementation of technical control measures such as chamber and enclosure of noise generator components are essential to reduce the average sound pressure level.  

Research of Possibilities of Using the Recycled Materials Based on Rubber and Textiles Combined with Vermiculite Material in the Area of ​​Noise Reduction

2014 ◽  
Vol 1001 ◽  
pp. 171-176 ◽  
Author(s):  
Pavol Liptai ◽  
Marek Moravec ◽  
Miroslav Badida
Keyword(s):  
Absorption Coefficient ◽  
Standing Wave ◽  
Sound Pressure Level ◽  
Sound Absorption ◽  
Sound Pressure ◽  
Sound Level ◽  
Pressure Level ◽  
Sound Absorption Coefficient ◽  
Physical Parameters ◽  
Materials Research

This paper describes possibilities in the use of recycled rubber granules and textile materials combined with vermiculite panel. The aim of the research is the application of materials that will be absorbing or reflecting sound energy. This objective is based on fundamental physical principles of materials research and acoustics. Method of measurement of sound absorption coefficient is based on the principle of standing wave in the impedance tube. With a sound level meter is measured maximum and minimum sound pressure level of standing wave. From the maximum and minimum sound pressure level of standing wave is calculated sound absorption coefficient αn, which can take values from 0 to 1. Determination of the sound absorption coefficient has been set in 1/3 octave band and in the frequency range from 50 Hz to 2000 Hz. In conclusion are proposed possibilities of application of these materials in terms of their mechanical and physical parameters.

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.

Variation in vibro-acoustic noise due to the defects in an automotive drum brake

2021 ◽  
Vol 263 (4) ◽  
pp. 2646-2653
Author(s):  
Ananthapadmanabhan Ramesh ◽  
Sundar Sriram
Keyword(s):  
Analytical Model ◽  
Sound Pressure Level ◽  
Sound Pressure ◽  
Transfer Functions ◽  
Acoustic Noise ◽  
Pressure Level ◽  
Acoustic Model ◽  
Drum Brake ◽  
Non Linear ◽  
Sound Pressure Levels

Drum brakes are significant contributors to noise and vibration in automobiles causing discomfort to the passengers. The vibration and hence the resulting noise increase due to various inherent defects in the drum brake, such as asymmetry. This work aims to quantify the variation in the vibro-acoustic noise due to several common defects in the drum brake using an integrated non-linear vibration analytical model and a numerical acoustic model. The sources of vibro-acoustic noise sources such as contact and reaction forces are predicted using a four-degree-of-freedom non-linear contact mechanics based analytical model. A finite element based acoustic model of the drum brake is utilized to predict the force to the sound pressure transfer function in the drum brake. Product of the transfer functions and the forces gives the corresponding sound pressure level from which the overall sound pressure levels are estimated. The variation in the overall sound pressure levels due to different drum brake defects is evaluated by introducing defects to the analytical model. The results show that the overall sound pressure level is a strong function of the defects. It is envisioned that the current work will help in the development of effective health monitoring systems.

scholarly journals Sound Levels Forecasting in an Acoustic Sensor Network Using a Deep Neural Network

Sensors ◽  
2020 ◽  
Vol 20 (3) ◽  
pp. 903 ◽  
Author(s):  
Juan M. Navarro ◽  
Raquel Martínez-España ◽  
Andrés Bueno-Crespo ◽  
Ramón Martínez ◽  
José M. Cecilia
Keyword(s):  
Neural Network ◽  
Sensor Network ◽  
Sound Pressure Level ◽  
Deep Neural Network ◽  
Sound Pressure ◽  
Noise Pollution ◽  
Pressure Level ◽  
Acoustic Sensor ◽  
Short Term ◽  
Sound Levels

Wireless acoustic sensor networks are nowadays an essential tool for noise pollution monitoring and managing in cities. The increased computing capacity of the nodes that create the network is allowing the addition of processing algorithms and artificial intelligence that provide more information about the sound sources and environment, e.g., detect sound events or calculate loudness. Several models to predict sound pressure levels in cities are available, mainly road, railway and aerial traffic noise. However, these models are mostly based in auxiliary data, e.g., vehicles flow or street geometry, and predict equivalent levels for a temporal long-term. Therefore, forecasting of temporal short-term sound levels could be a helpful tool for urban planners and managers. In this work, a Long Short-Term Memory (LSTM) deep neural network technique is proposed to model temporal behavior of sound levels at a certain location, both sound pressure level and loudness level, in order to predict near-time future values. The proposed technique can be trained for and integrated in every node of a sensor network to provide novel functionalities, e.g., a method of early warning against noise pollution and of backup in case of node or network malfunction. To validate this approach, one-minute period equivalent sound levels, captured in a two-month measurement campaign by a node of a deployed network of acoustic sensors, have been used to train it and to obtain different forecasting models. Assessments of the developed LSTM models and Auto regressive integrated moving average models were performed to predict sound levels for several time periods, from 1 to 60 min. Comparison of the results show that the LSTM models outperform the statistics-based models. In general, the LSTM models achieve a prediction of values with a mean square error less than 4.3 dB for sound pressure level and less than 2 phons for loudness. Moreover, the goodness of fit of the LSTM models and the behavior pattern of the data in terms of prediction of sound levels are satisfactory.

Statistical Study of the Instantaneous Values of Traffic Noise Sound Pressure Level

2002 ◽  
Vol 33 (8) ◽  
pp. 16-24
Author(s):  
Jesús Alba Fernández ◽  
Marcelino Ferri García ◽  
Jaime Ramis Soriano ◽  
Juan Antonio Martínez Mora
Keyword(s):  
Sound Pressure Level ◽  
Sound Pressure ◽  
Road Traffic ◽  
Traffic Noise ◽  
Relevant Information ◽  
Sound Level ◽  
Pressure Level ◽  
Road Traffic Noise ◽  
Statistical Parameters ◽  
Sound Event

In environmental acoustics the knowledge of the time dependency of the sound level provides relevant information about a sound event. In this sense, it may be said that conventional sound level metres have frequently implemented programs to calculate the fractiles (percentiles) of the distribution of instantaneous sound levels; and there are several indexes to evaluate the noise pollution, based on different statistical parameters. For further analysis of sound, and to obtain the commented indexes, it is accepted that this distribution is normal or gaussian. The questions we've tried to solve in this work are the following: First of all, whether the time dependent distribution of the variable sound pressure level should be considered as Gaussian in general cases or only in some particular ones. On the other hand, we have studied how the frequency of the sampling affects the resulting distribution of a given a sound event. To these ends, a set of road traffic noise events has been evaluated. Furthermore, even in gaussian distributions of sound pressure levels, the average of the distribution will not be coincident with the equivalent sound pressure level; that is the level of the average quadratic pressure. The difference between this parameter, and its dependence on the standard deviation, is studied.

Gyro Rock Crusher and Asphalt Plant Sound Power Levels

2012 ◽  
Author(s):  
Henry A. Scarton ◽  
Kyle R. Wilt
Keyword(s):  
Sound Pressure Level ◽  
Sound Pressure ◽  
Low Frequency ◽  
Pressure Level ◽  
Sound Power ◽  
Far Field ◽  
Atmospheric Attenuation ◽  
Frequency Sound ◽  
Sound Pressure Levels ◽  
Rock Crusher

Sound power levels including the distribution into octaves from a large 149 kW (200 horsepower) gyro rock crusher and separate asphalt plant are presented. These NIST-traceable data are needed for estimating sound pressure levels at large distances (such as occurs on adjoining property to a quarry) where atmospheric attenuation may be significant for the higher frequencies. Included are examples of the computed A-weighted sound pressure levels at a distance from the source, including atmospheric attenuation. Substantial low-frequency sound power levels are noted which are greatly reduced in the far-field A-weighted sound pressure level calculations.

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