scholarly journals Territory management based on the assessment of environmental noise in near areas to two medical centers on zone planning units 44 and 47 in Bogotá

2020 ◽  
Vol 16 (1) ◽  
Author(s):  
Baudilio Acevedo Buitrago ◽  
Deisy Mireya Ortíz Bernal ◽  
Estefanía Ramírez Trujillo
Keyword(s):  
Growth And Development ◽  
Ambient Noise ◽  
Environmental Noise ◽  
Regulatory Compliance ◽  
Noise Levels ◽  
Commercial Activities ◽  
Medical Centers ◽  
Noise Measurements ◽  
Noise Data ◽  
Territory Management

Introduction:This article shows the evaluation of environmental noise around the medical centers located in the UPZ Americas and Kennedy Central - Bogotá, and the proposal of some actions related to the planning of the territory as a strategy for mitigation. Problem:The Kennedy town has presented high levels of environmental noise, which is a worrying aspect due to its correlation with the effects on people's health. Objective:This research was conducted for the purpose of compiling updated information on environmental noise in the Kennedy locality and evaluating regulatory compliance and identifing the phenomena to establish actions that lead to its mitigation. Methodology:The measurement process was guided under the guidelines of ISO 1996:1 and the parameters established in Res. 627/2006 of the Ministry of Environment. Results:The ambient noise levels exceed the maximum permissible limits (55 dB) on the different days and hours of measurement. It was also determined that this phenomenon is mainly related to high vehicular flow as well as formal and informal commercial activities around medical centers. Conclusion:There is no regulatory compliance in relation to environmental noise and the territorial plan established in the UPZ. The suggested actions are: use of parks to plant native trees that act as biological barriers, non-use of surrounding streets as secondary traffic roads and reorganization of trade activities. Originality:Updated environmental noise data was obtained around medical centers in Kennedy and problems of inappropriate growth and development were identified. Limitations:Lack of information on environmental noise measurements in other sectors of the area.

scholarly journals Background noise analysis in urban airport surroundings of Brazilian cities, Congonhas Airport, São Paulo

2016 ◽  
Vol 50 (0) ◽  
Author(s):  
Fabio Scatolini ◽  
Cláudio Jorge Pinto Alves
Keyword(s):  
Traffic Control ◽  
Background Noise ◽  
Noise Analysis ◽  
Exposure Level ◽  
Noise Levels ◽  
Sound Exposure ◽  
Operational Characteristics ◽  
Data Compilation ◽  
Noise Measurements ◽  
Noise Data

ABSTRACT OBJECTIVE To perform a quantitative analysis of the background noise at Congonhas Airport surroundings based on large sampling and measurements with no interruption. METHODS Measuring sites were chosen from 62 and 72 DNL (day-night-level) noise contours, in urban sites compatible with residential use. Fifteen sites were monitored for at least 168 hours without interruption or seven consecutive days. Data compilation was based on cross-reference between noise measurements and air traffic control records, and results were validated by airport meteorological reports. Preliminary diagnoses were established using the standard NBR-13368. Background noise values were calculated based on the Sound Exposure Level (SEL). Statistic parameters were calculated in one-hour intervals. RESULTS Only four of the fifteen sites assessed presented aircraft operations as a clear cause for the noise annoyance. Even so, it is possible to detect background noise levels above regulation limits during periods of low airport activity or when it closes at night. CONCLUSIONS All the sites monitored showed background noise levels above regulation limits between 7:00 and 21:00. In the intervals between 6:00-6:59 and 21:00-22:59 the noise data, when analyzed with the current airport operational characteristics, still allow the development of additional mitigating measures.

scholarly journals Underwater Ambient Noise in Kongsfjorden, Spitsbergen, during the Summers of 2015 and 2016

ARCTIC ◽  
2020 ◽  
Vol 73 (3) ◽  
pp. 386-392
Author(s):  
Muthuraj Ashokan ◽  
Ganesan Latha ◽  
Ayyadurai Thirunavukkarasu
Keyword(s):  
Noise Level ◽  
Ambient Noise ◽  
Noise Levels ◽  
Acoustic Environment ◽  
Noise Data ◽  
Iceberg Calving ◽  
Instrument Noise ◽  
Average Noise Level

Underwater ambient noise was measured in Kongsfjorden, Svalbard, during the summers of 2015 and 2016 to understand the contribution of iceberg bubbling, iceberg calving, and shipping noise to the acoustic environment of the fjord. Comparison of the ambient noise data for the months of August, September, and October showed that average noise levels were similar, although the average noise level for 2015 was ~9 dB higher than in 2016 because of higher shipping noise. Maximum ambient noise was produced at frequencies less than 10 kHz during both summers. Spectrograms of iceberg calving noise showed that it occurred in the frequency below 500 Hz. Shipping noise was seen in the band below 600 Hz, and iceberg bubbling noise was detected in the band above 400 Hz. Instrument noise was observed in the frequency 400 Hz. It is clear that ice breaking and shipping contribute substantially to ambient noise in Kongsfjorden.

Calibration of an on-board noise measuring device by simultaneous measurements of trackside noise of three different wheelsets for the ETR500 FS train

1997 ◽  
Vol 211 (1) ◽  
pp. 41-49 ◽  
Author(s):  
A Bracciali ◽  
L Ciuffi ◽  
R Ciuffi
Keyword(s):  
Noise Pollution ◽  
Measured Data ◽  
Railway Vehicle ◽  
Noise Levels ◽  
Wheel Surface ◽  
Measuring Device ◽  
Laboratory Calibration ◽  
Noise Measurements ◽  
Noise Data ◽  
Rolling Noise

An on-board device for bolting to the axlebox of a railway vehicle or locomotive to measure rolling noise close to the wheel surface has been developed by the authors (1, 2). Even though laboratory calibration and test runs have shown that the measured noise data are consistent, there was no way to prove that they were in accordance with the on-ground measured ones. Italian State Railways (FS) have performed tests with different wheelsets to evaluate the efficiency of several noise-reduction solutions; during these tests it was possible to repeat noise measurements on-board, therefore obtaining a sufficient amount of data to calibrate the device and to analyse in detail the behaviour of such wheelsets. Calculated calibration constants prove that on-board measured data can be used with confidence to estimate noise levels at several distances from the track, thereby reducing the necessity of long and expensive on-ground tests to measure environmental noise pollution.

scholarly journals Ambient Noise Levels and Wireless Headsets for Communication in Aerosolizing Otolaryngology Surgery During COVID-19

2021 ◽  
pp. 019459982098658
Author(s):  
Marc Levin ◽  
Kelvin Zhou ◽  
Ethan C. Sommer ◽  
Tobial McHugh ◽  
Doron D. Sommer
Keyword(s):  
Ambient Noise ◽  
Scientific Communication ◽  
Operating Rooms ◽  
Surgical Team ◽  
Noise Levels ◽  
Conference Call ◽  
Team Members ◽  
Communication Problems ◽  
Noise Measurements ◽  
Survey Responses

The objective of this short scientific communication is to describe and test a strategy to overcome communication barriers in coronavirus disease 2019 (COVID-19) era otolaryngology operating rooms. Thirteen endoscopic sinus surgeries, 4 skull base surgeries, and 1 tracheotomy were performed with powered air-purifying respirators. During these surgeries, surgical team members donned headsets with microphones linked via conference call. Noise measurements and survey responses were obtained and compared to pre–COVID-19 data. Noise was problematic and caused miscommunication as per 93% and 76% of respondents, respectively. Noise in COVID-19 era operating rooms was significantly higher compared to pre–COVID-19 era data (73.8 vs 70.2 decibels, P = .04). Implementation of this headset strategy significantly improved communication. Respondents with headsets were less likely to encounter communication problems (31% vs 93%, P < .001). Intraoperative measures to protect surgical team members during aerosolizing surgeries may impair communication. Linking team members via a conference call is a solution to improve communication.

scholarly journals Detecting and Correlating Aircraft Noise Events below Ambient Noise Levels Using OpenSky Tracking Data

Proceedings ◽  
2020 ◽  
Vol 59 (1) ◽  
pp. 13
Author(s):  
Luc Dekoninck
Keyword(s):  
Spatial Data ◽  
Ambient Noise ◽  
Noise Exposure ◽  
Environmental Noise ◽  
Aircraft Noise ◽  
Data Series ◽  
Noise Levels ◽  
Noise Mapping ◽  
High Exposure ◽  
Ambient Exposure

Noise annoyance due to aircraft operations extends well beyond the 55 Lden noise contours as calculated according to the Environmental Noise Directive (END). Noise mapping beyond these contours will improve the understanding of the perception, annoyance and health impact of aircraft operations. OpenSky data can provide the spatial data to create an aircraft noise exposure map for lower exposure levels. This work presents the first step of region-wide noise exposure methodology based on open source data: detecting low LAmax aircraft events in ambient noise using spectral noise measurements and correlating the detected noise events to the matching flights retrieved from the OpenSky database. In ISO 20906:2009, the specifications of noise monitoring near airports is standardized, using LAeq,1sec values for event detection. This limits the detection potential due to masking by other noise sources in areas with low maximum levels of aircraft noise and in areas with medium maximum levels of high ambient exposure areas. The typical lower detection limit in airport-based monitoring systems ranges from 55 to 60 LAeq,max, depending on the ambient levels. Using a detection algorithm sensitive to third-octave band levels, aircrafts can be detected down to 40 LAmax in ambient noise levels of a similar magnitude. The measurement approach is opportunistic: aircraft events are detected in available environmental noise data series registered for other applications (e.g., road noise, industrial noise, etc.). Most of the measurement locations are not identified as high-exposure areas for aircraft noise. Detection settings can vary to match ambient noise levels to improve the correlation success.

scholarly journals Evaluation and Analysis of Environmental Noise Pollution in Seven Major Cities of India

2017 ◽  
Vol 42 (2) ◽  
pp. 175-188 ◽  
Author(s):  
Naveen Garg ◽  
A. K. Sinha ◽  
M. Dahiya ◽  
V. Gandhi ◽  
R. M. Bhardwaj ◽  
...  
Keyword(s):  
Ambient Noise ◽  
Monitoring Network ◽  
Noise Pollution ◽  
Pilot Project ◽  
Environmental Noise ◽  
Noise Levels ◽  
Annual Average ◽  
Noise Abatement ◽  
Continuous Noise

Abstract The paper describes the noise monitoring data acquired from the pilot project on the establishment of National Ambient Noise Monitoring Network (NANMN) across seven major cities in India for continuous noise monitoring throughout the year. The annual average Lday (06-22 h) and Lnight (22-06 h) values observed in year 2011-2014 for the 35 locations under study in which 14 locations are in commercial zone,5 in Industrial, 7 in residential and 9 in silence zones are described. The long-term noise monitoring shows that ambient noise levels have marginally increased for 29 sites (82.9%) since past four years. The present study is focused on evaluation and analysis of environmental noise pollution at 35 noise monitoring sites in seven major cities of India and shall be instrumental in planning for the noise abatement measures for controlling the noise pollution in these sites.

Innovation on User-Generated Content for Environmental Noise Monitoring and Analysis in the Context of Smart Cities

2018 ◽  
pp. 224-253
Author(s):  
Juan Humberto Juárez Hipólito ◽  
Marco Antonio Moreno Ibarra ◽  
Miguel Torres-Ruiz ◽  
Giovanni Guzmán ◽  
Rolando Quintero
Keyword(s):  
Mobile Devices ◽  
Urban Areas ◽  
Acoustic Noise ◽  
Smart Cities ◽  
Contextual Information ◽  
Specific Area ◽  
Environmental Noise ◽  
Noise Measurements ◽  
Noise Data ◽  
The Difference

This work presents an approach based on the concept of Volunteered Geographic Information (VGI) to monitoring environmental noise; it is a problem that specially affects people's quality of life in urban areas. In this work, mobile devices are used to massively collect environmental noise measurements, which are used to generate maps of a specific area and then make a forecast. The difference of this approach with respect to the traditional methods based on monitoring stations is that it is much less costly, which is a major innovation in developing countries. This approach is based on a GIS approach that consists of an application for mobile devices and a web mapping application; including Geospatial Analysis and Machine Learning methods for the acoustic noise prediction using contextual information. With this approach it will be possible to define actions to mitigate the effects of environmental noise, it is aligned in the context of the smart cities. The proposed case study is based on collecting noise data of the Mexico City.

Innovation on User-Generated Content for Environmental Noise Monitoring and Analysis in the Context of Smart Cities

2019 ◽  
pp. 490-519
Author(s):  
Juan Humberto Juárez Hipólito ◽  
Marco Antonio Moreno Ibarra ◽  
Miguel Torres-Ruiz ◽  
Giovanni Guzmán ◽  
Rolando Quintero
Keyword(s):  
Mobile Devices ◽  
Urban Areas ◽  
Acoustic Noise ◽  
Smart Cities ◽  
Contextual Information ◽  
Specific Area ◽  
Environmental Noise ◽  
Noise Measurements ◽  
Noise Data ◽  
The Difference

This work presents an approach based on the concept of Volunteered Geographic Information (VGI) to monitoring environmental noise; it is a problem that specially affects people's quality of life in urban areas. In this work, mobile devices are used to massively collect environmental noise measurements, which are used to generate maps of a specific area and then make a forecast. The difference of this approach with respect to the traditional methods based on monitoring stations is that it is much less costly, which is a major innovation in developing countries. This approach is based on a GIS approach that consists of an application for mobile devices and a web mapping application; including Geospatial Analysis and Machine Learning methods for the acoustic noise prediction using contextual information. With this approach it will be possible to define actions to mitigate the effects of environmental noise, it is aligned in the context of the smart cities. The proposed case study is based on collecting noise data of the Mexico City.

scholarly journals Statistical modeling of the spatial variability of environmental noise levels in Montreal, Canada, using noise measurements and land use characteristics

2016 ◽  
Vol 26 (6) ◽  
pp. 597-605 ◽  
Author(s):  
Martina S Ragettli ◽  
Sophie Goudreau ◽  
Céline Plante ◽  
Michel Fournier ◽  
Marianne Hatzopoulou ◽  
...  
Keyword(s):  
Land Use ◽  
Spatial Variability ◽  
Statistical Modeling ◽  
Environmental Noise ◽  
Noise Levels ◽  
Noise Measurements

scholarly journals Case Study in a Working Environment Highlighting the Divergence between Sound Level and Workers’ Perception towards Noise

2020 ◽  
Vol 17 (17) ◽  
pp. 6122
Author(s):  
Chun-Yip Hon ◽  
Illia Tchernikov ◽  
Craig Fairclough ◽  
Alberto Behar
Keyword(s):  
Noise Exposure ◽  
Health And Safety ◽  
Sound Level ◽  
Working Environment ◽  
Noise Levels ◽  
Hearing Conservation ◽  
Attitudes And Perceptions ◽  
Noise Measurements ◽  
Survey Responses ◽  
Excessive Noise

Excessive noise levels are a prevalent issue in food processing operations and, although there have been numerous studies on occupational noise, no single study has used a concurrent mixed-methods approach. Employing this study design allows for an understanding of the level of convergence (similarity) between measured noise levels and workers’ attitudes and perceptions towards noise. This, in turn, allows for the identification of potential challenges with respect to the implementation of hearing conservation efforts. In this study, spot noise measurements were collected using a sound level meter. One-on-one interviews were conducted with workers to determine attitudes and perceptions towards noise in their workplaces. Subsequently, the results of the noise measurements (quantitative data) were integrated with the survey responses (qualitative data) to identify convergence. The majority of the noise measurements were found to exceed 85 dBA—the criterion mandated by the local occupational health and safety legislation. Although all study participants felt that it was noisy in the workplace, a large proportion of respondents indicated that the noise was not bothersome. With workers’ perception being contradictory to the measured noise levels, it is a challenge to implement hearing conservation measures unless changes are made to raise the awareness of the risks associated with excessive noise exposure.

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