Topic
Noise pollution
About: Noise pollution is a research topic. Over the lifetime, 4455 publications have been published within this topic receiving 67192 citations.
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TL;DR: It has been established that the maximum noise exposure is being taken by the workers as they are working more than 8h a day for six days per week which lead to very high noise exposure i.e. 50 to 80% per week higher than exposure time/week in USA or European countries.
Abstract: Occupational noise has been recognized as hazardous for the human beings. A high noise level in forging shops is considered to lower the labour productivity and cause illness however occupational noise is being accepted as an integral part of the job. The present study has been carried out in 5 small scale hand tool forging units (SSI) of different sizes in Northern India in Punjab. Noise levels at various sections were measured. OSHA norms for hearing conservation has been incorporated which includes an exchange rate of 5 dB (A), criterion level at 90 dB (A), criterion time of 8 h, threshold level=80 dB (A), upper limit=140 dB (A) and with F/S response rate. Equivalent sound pressure level (L(eq)) has been measured in various sections of these plants. Noise at various sections like hammer section, cutting presses, punching, grinding and barrelling process was found to be >90 dB (A), which is greater than OSHA norms. A cross-sectional study on the basis of questionnaire has been carried out. The results of which revealed that 68% of the workers are not wearing ear protective equipments out of these 50% were not provided with PPE by the company. About 95% of the workers were suffering speech interference though high noise annoyance was reported by only 20%. It has been established that the maximum noise exposure is being taken by the workers as they are working more than 8h a day for six days per week. More than 90% workers are working 12 to 24 h over time per week which lead to very high noise exposure i.e. 50 to 80% per week higher than exposure time/week in USA or European countries(15, 16)).
21 citations
01 Dec 2016
TL;DR: The design of NoiseSense, a crowd sensing system for housing a real-time urban noise mapping service, and a semi-supervised tensor completion algorithm for inferring noise levels for locations without measurements by smartphone users are presented.
Abstract: Noise pollution poses a serious threat to people living in cities today. To alleviate the negative impact of noise pollution, an urban noise mapping can be helpful. In this paper, we present the design of NoiseSense, a crowd sensing system for housing a real-time urban noise mapping service. A major challenge in building such a system is caused by the sparsity problem of the limited noise measurement data from smartphones. To tackle this challenge, we propose a semi-supervised tensor completion algorithm for inferring noise levels for locations without measurements by smartphone users. This algorithm leverages a variety of urban data sources, such as Point of Interests (PoIs), road networks, and check-in data. We implemented the system and developed an APP for smartphone users. We conducted experiments and field study. The experimental results show that the proposed algorithm is superior in inferring noise levels merely with sparse measurements from smartphone users.
21 citations
TL;DR: The results support the presence of several co-existing, multi-exposure situations across the city impacted by both the urban morphology and the emission and diffusion/propagation phases of each pollutant.
21 citations
TL;DR: Noise levels in the pediatric intensive care unit and family and staff opinion of noise were evaluated and the parents and staff identified the monitors as the major contribution to noise.
21 citations
01 Sep 2017
TL;DR: In this paper, the authors reviewed the literature on research carried out during the last two decades on noise impacts in India to demonstrate the current status of noise pollution research in India and gaps in studies.
Abstract: This article reviews the literature on research carried out during the last two decades on noise impacts in India to demonstrate the current status of noise pollution research in India and gaps in studies. It also summarizes future perspectives of acoustic research. The noise pollution studies over the years have focused on the monitoring, recording, modeling, geospatial mapping, and exposure-effect relationship. The review of papers demonstrated that road traffic noise is the predominant cause for annoyance among the respondents. The evidence comes mostly from studies focusing on health impacts. Only 10% of articles enumerated zone-specific noise pollution. 44.89% of articles reported details of subjective response data with the help of a questionnaire tool, while 14.3% of articles reported details about the noise in workplaces of different areas of India. Ten percent of articles attributed to the harmful effect of festive noise. Studies in relation to the physiological and sleep disturbances in Indian condition are negligible. Noise pollution limits are being breached in almost all Indian cities. Violations are the worst in urban areas. The laws should be properly implemented in India to control this ever-growing menace. The government is now working on devising new noise pollution standards. City-wise noise pollution mitigation strategies should be worked out at all levels. It is concluded that coordinated and long-term integrated noise pollution research (comprising assessment of noise descriptors, noise mapping, prediction by noise modeling, and experimental studies to demonstrate exposure-effect relationship, advanced study on acoustic absorption material) is the need of the hour.
21 citations