scholarly journals Aircraft and Background Noise Annoyance Effects

1983 ◽  
Vol 27 (1) ◽  
pp. 52-52
Author(s):  
Kelli F. Willshire
Keyword(s):  
Noise Level ◽  
Background Noise ◽  
Signal To Noise Ratio ◽  
Body Movement ◽  
Movement Analysis ◽  
Aircraft Noise ◽  
Air Conditioner ◽  
Noise Sources ◽  
Community Noise ◽  
Noise Annoyance

Traditionally, community aircraft flyover annoyance has been studied in the absence of other noises. However, the importance of considering the flyovers along with other community noise sources is gaining increasing awareness. To investigate annoyance of multiple noise sources, two experiments were conducted. The first experiment used 48 subjects, and the second used 216 subjects. The first experiment was designed to establish annoyance-noise level functions for three community noise sources presented individually: jet aircraft flyovers, air conditioner, and traffic. This experiment provided baseline data for a second experiment which is currently being conducted to investigate (1) effects of background noise on aircraft annoyance as a function of noise level and spectrum shape; (2) the relative contributions of background noises and aircraft noise to overall annoyance; and (3) effect of type of annoyance rating: overall or source specific. In the second experiment, the subjects were required to make either overall or source specific annoyance ratings or a combination of the two. Both experiments used two dependent measures: rated annoyance and amount of subconscious body movement or fidgeting. Results of the first experiment indicated that the slope of the annoyance-noise level function for traffic was significantly different from the slopes corresponding to flyover and air conditioner noise. This added further justification to the need to determine the influence of different background noises on aircraft noise annoyance (e.g., experiment two). Preliminary body movement analysis indicated no relationship of body movements to source noise level. Results of the second experiment showing differential effects of signal-to-noise ratio and background source type across total noise level will be presented and discussed. Results will also be presented to illustrate the effects of all the sources (flyover, air conditiner, and traffic) on relative annoyance as a function of the type of annoyance questionnaire. Further data on the correlation of movement with source noise level will be discussed. However, based on the results of the first experiment, little relation to annoyance is expected. All results will be applied in an effort to develop an improved model of human response to community noise.

scholarly journals Lower Noise Annoyance Associated with GIS-Derived Greenspace: Pathways through Perceived Greenspace and Residential Noise

2018 ◽  
Vol 15 (7) ◽  
pp. 1533 ◽  
Author(s):  
Angel M. Dzhambov ◽  
Iana Markevych ◽  
Boris Tilov ◽  
Zlatoslav Arabadzhiev ◽  
Drozdstoj Stoyanov ◽  
...  
Keyword(s):  
Noise Level ◽  
Vegetation Index ◽  
Green Space ◽  
Normalized Difference Vegetation Index ◽  
Buffer Zone ◽  
Tree Cover ◽  
Noise Sources ◽  
Noise Abatement ◽  
Noise Annoyance ◽  
Lower Noise

Growing amounts of evidence support an association between self-reported greenspace near the home and lower noise annoyance; however, objectively defined greenspace has rarely been considered. In the present study, we tested the association between objective measures of greenspace and noise annoyance, with a focus on underpinning pathways through noise level and perceived greenspace. We sampled 720 students aged 18 to 35 years from the city of Plovdiv, Bulgaria. Objective greenspace was defined by several Geographic Information System (GIS)-derived metrics: Normalized Difference Vegetation Index (NDVI), tree cover density, percentage of green space in circular buffers of 100, 300 and 500 m, and the Euclidean distance to the nearest structured green space. Perceived greenspace was defined by the mean of responses to five items asking about its quantity, accessibility, visibility, usage, and quality. We assessed noise annoyance due to transportation and other neighborhood noise sources and daytime noise level (Lday) at the residence. Tests of the parallel mediation models showed that higher NDVI and percentage of green space in all buffers were associated with lower noise annoyance, whereas for higher tree cover this association was observed only in the 100 m buffer zone. In addition, the effects of NDVI and percentage of green space were mediated by higher perceived greenspace and lower Lday. In the case of tree cover, only perceived greenspace was a mediator. Our findings suggest that the potential for greenspace to reduce noise annoyance extends beyond noise abatement. Applying a combination of GIS-derived and perceptual measures should enable researchers to better tap individuals’ experience of residential greenspace and noise.

scholarly journals Modeling and Mapping of Combined Noise Annoyance for Aircraft and Road Traffic Based on a Partial Loudness Model

2021 ◽  
Vol 18 (16) ◽  
pp. 8724
Author(s):  
Wonhee Lee ◽  
Chanil Chun ◽  
Dongwook Kim ◽  
Soogab Lee
Keyword(s):  
Background Noise ◽  
Road Traffic ◽  
Noise Source ◽  
Transportation Systems ◽  
Masking Effect ◽  
Noise Sources ◽  
Noise Annoyance ◽  
Short And Long Term ◽  
Loudness Model

Complex transportation systems often produce combined exposure to aircraft and road noise. Depending on the noise source, the annoyance response is different, and a masking effect occurs between the noise sources within the combined noise. Considering these characteristics, partial loudness was adopted to evaluate noise annoyance. First, a partial loudness model incorporating binaural inhibition was proposed and validated. Second, short- and long-term annoyance models were developed using partial loudness. Finally, the annoyance of combined noise was visualized as a map. These models can evaluate the annoyance by considering both the intensity and frequency characteristics of the noise. In addition, it is possible to quantify the masking effect that occurs between noise sources. Combined noise annoyance maps depict the degree of annoyance of residents and show the background noise effect, which is not seen on general noise maps.

scholarly journals Study on Aircraft Noise Around Tribhuvan International Airport, Kathmandu, Nepal

2015 ◽  
Vol 15 (1) ◽  
pp. 139-144
Author(s):  
Mohan K. Bhattarai ◽  
B. K. Sapkota
Keyword(s):  
Noise Level ◽  
Background Noise ◽  
Noise Exposure ◽  
Aircraft Noise ◽  
Primary Data ◽  
Control Measurement ◽  
International Airport ◽  
North East ◽  
Noise Measurements ◽  
C 30

Present work was carried out to collect primary data from the field with the help of noise meter and thus spatial anddiurnal variation of background and aircraft noise level was analyzed. Seventeen sampling sites were chosennearby Tribhuwan International Airport (TIA) and air route of aircraft flyover. Noise measurements were carried outunder normal atmospheric environmental condition at temperature ranges from 25°C-30°C excluding rainy andwindy days. Among the sampling sites, the Equivalent Continuous Noise Level (LAeq) of background noise measuredmaximum at Balkumari (73.2 dBA) and minimum at Datidol (49.2 dBA). Noise meter was allowed to record aircraftnoise level when aircraft produced noise greater than background noise level and recorded until it reduced tobackground noise level. The maximum value of aircraft noise level, (LAeq) measured at Gothatar (101.5 dBA) whichlies north east from the TIA and at the same height as the airport ground and minimum at Datidol (63.5 dBA).Toanalyse the spatial variation of aircraft noise of different sampling sites, contour map was plotted with the help oforigin software. The LAeq of more than 60 percent sampling sites fall under the severe noise exposure class (> 75dBA) which causes substantial hearing loss. Implementation of noise control measurement and public awarenessare recommended to control adverse effect of noise pollution.DOI: http://dx.doi.org/10.3126/njst.v15i1.12031Nepal Journal of Science and TechnologyVol. 15, No.1 (2014) 139-144

scholarly journals Effect of noise in blending and deblending

Geophysics ◽  
2013 ◽  
Vol 78 (5) ◽  
pp. A35-A38 ◽  
Author(s):  
Guus Berkhout ◽  
Gerrit Blacquière
Keyword(s):  
Noise Level ◽  
Background Noise ◽  
Signal To Noise Ratio ◽  
Interesting Consequence ◽  
Signal To Noise ◽  
Background Noise Level ◽  
Noise Ratio ◽  
Incoherent Source ◽  
Large Background

If simultaneous shooting is carried out by incoherent source arrays, being the condition of blended acquisition, the deblending process generates shot records with a very low residual interference (blending noise). We found, theoretically and numerically, that deblended shot records had a better background-related signal-to-noise ratio than shot records in unblended surveys. This improvement increased with increasing blending fold and decreasing survey time. An interesting consequence of this property is that blended surveys can be carried out under more severe noise conditions than unblended surveys. It is advisable to optimize the survey time in areas with a large background noise level or in areas with severe environmental restrictions.

Aircraft noise annoyance contours: Importance of overflight frequency and noise level

1980 ◽  
Vol 69 (4) ◽  
pp. 583-595 ◽  
Author(s):  
R. Rylander ◽  
M. Björkman ◽  
U. Åhrlin ◽  
S. Sörensen ◽  
K. Berglund
Keyword(s):  
Noise Level ◽  
Aircraft Noise ◽  
Noise Annoyance

scholarly journals Aircraft Noise Monitoring in Function of Flight Safety and Aircraft Model Determination

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Andrija Vidović ◽  
Igor Štimac ◽  
Robert Zečević-Tadić
Keyword(s):  
Noise Level ◽  
Radar Data ◽  
Aircraft Noise ◽  
Flight Safety ◽  
Noise Sources ◽  
Aircraft Model ◽  
New Findings ◽  
Final Approach ◽  
Model Determination ◽  
Aircraft Detection

This paper presents the research of noise level monitoring at the Zagreb Airport Ltd. The purpose of this paper is to show how the aircraft noise sources can be used as a tool for aircraft detection and for increasing flight safety. The noise measurement was made at the Zagreb Airport by using its professional noise monitoring system. The research has led to new findings, such as determining the aircraft model by measuring the noise level generated by an aircraft during final approach based on its frequency spectrum, as the connectivity from the airport’s side to the radar data was unavailable (only ATC). In addition, it is possible to determine the aircraft altitude and, perhaps most significantly, the increase of flight safety through the detection of potential failures on the aircraft structure and/or engine during the overflight of a noise monitoring terminal.

Selecting the Optimal FM System for Children With Cochlear Implants

2008 ◽  
Vol 18 (1) ◽  
pp. 19-24
Author(s):  
Erin C. Schafer
Keyword(s):  
Speech Recognition ◽  
Cochlear Implants ◽  
Empirical Research ◽  
Background Noise ◽  
Signal To Noise Ratio ◽  
Evidence Based ◽  
Signal To Noise ◽  
Speech Processor ◽  
System Input ◽  
Optimal Type

Children who use cochlear implants experience significant difficulty hearing speech in the presence of background noise, such as in the classroom. To address these difficulties, audiologists often recommend frequency-modulated (FM) systems for children with cochlear implants. The purpose of this article is to examine current empirical research in the area of FM systems and cochlear implants. Discussion topics will include selecting the optimal type of FM receiver, benefits of binaural FM-system input, importance of DAI receiver-gain settings, and effects of speech-processor programming on speech recognition. FM systems significantly improve the signal-to-noise ratio at the child's ear through the use of three types of FM receivers: mounted speakers, desktop speakers, or direct-audio input (DAI). This discussion will aid audiologists in making evidence-based recommendations for children using cochlear implants and FM systems.

CALCULATION OF THE INTEGRAL NOISE LEVEL AT A FIELD POINT OF A FREE SUPERSONIC JET OF A ROCKET ENGINE

Akustika ◽  
2020 ◽  
Vol 36 (36) ◽  
pp. 22-24
Author(s):  
Anatoly Kochergin ◽  
Valeeva Ksenia
Keyword(s):  
Acoustic Field ◽  
Noise Level ◽  
Rocket Engine ◽  
Supersonic Jet ◽  
Noise Sources ◽  
Field Point

The paper considers an acoustic field created by a supersonic jet (CES) of a rocket engine freely flowing into flooded space. The acoustic field was presented in the form of a diagram of noise isobars, from which it can be seen that the acoustic field is formed by two effective noise sources: the nearest one, lying at a distance of 5-10 calibers from the nozzle cut and the far one, lying at a distance of 15-30 calibers from the nozzle cut.

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