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1

Oh, Soo Hee, and Kyoungwon Lee. "Aircraft Noise of Airport Community in Korea." Audiology and Speech Research 16, no. 1 (January 31, 2020): 1–10. http://dx.doi.org/10.21848/asr.200001.

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Aircraft noise is one of the serious environmental noises with the increased use of flight traffic. The purpose of this study is to understand aircraft noise levels of airport communities in Korea using baseline data for audiologic management. Aircraft noise levels were retrieved from the National Noise Information System every month between 2004 and 2018. We reviewed aircraft noise levels obtained from total of 111 airport communities across 14 airports. In order to understand aircraft noise levels of civil and military airports, the aircraft noise levels measured in civil and military airport communities compared with the noise levels from civil airport communities. The data showed average 71-73 weight equivalent continuous perceived noise level (WECPNL) for fifteen years across airport cities and the average noise levels did not increase over time between 2004 and 2018 years. The civil and military airports showed about 12 WECPNLs of increased noise levels compared to the civil airports. The most civil and military airport communities, including Gwangju, Gunsan, Daegu, Wonju, and Cheongju generated the maximum noise levels and ranked as the highest airport for aircraft noise levels. Although aircraft noise levels in airport communities were similar over the past decade, civil and military airports generated increased noised levels compared to civil airports due to jet plane noises and other military-related noises. Careful consideration is necessary to implement noise reduction policy for civil and military airport communities. Ongoing noise control, hearing monitoring, education, and relevant policies are required to improve the quality of life in the airport community residences.
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2

Fujita, Etsushi, Taichi Higashioka, Manabu Sugiura, and Osamu Kohashi. "Evaluation method of military aircraft noise using AI analysis of aircraft images." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 6 (August 1, 2021): 854–62. http://dx.doi.org/10.3397/in-2021-1668.

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In recent aircraft noise survey in Japan, noise data is associated with each aircraft by flight log or by radio information including transponder signals. Especially, above Tokyo metropolitan area, flight tracks are tangled extremely each other, therefore assessments from various perspectives such as departure / arrival airport, used runway, aircraft model, and operator have been demanded for determining noise policies. However, for military aircrafts, it is not easy to identify their information with the same way as commercial aircrafts, because their flight logs are not disclosed and many of them do not emit transponder signals like commercial aircrafts. Therefore, manned 24 hours survey around air bases have been necessary to obtain flight information of military aircrafts. In this paper, we propose an AI-based analysis using captured aircraft images for obtaining actual flight data of military aircrafts. In the past trials, we could determine the takeoff/landing time and the aircraft model by the above method. Associating these information and noise data measured at monitoring stations, details of noise characteristics around the air base can be clearly grasped. Advanced analysis of the causes of noise impact will lead effective and concrete countermeasures.
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3

Shen, Kenan, and Dongbiao Zhao. "An EMD-LSTM Deep Learning Method for Aircraft Hydraulic System Fault Diagnosis under Different Environmental Noises." Aerospace 10, no. 1 (January 5, 2023): 55. http://dx.doi.org/10.3390/aerospace10010055.

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Aircraft hydraulic fault diagnosis is an important technique in aircraft systems, as the hydraulic system is one of the key components of an aircraft. In aircraft hydraulic system fault diagnosis, complex environmental noises will lead to inaccurate results. To address the above problem, hydraulic system fault detection methods should be capable of noise resistance. Previous research has mainly focused on noise-free conditions and many effective approaches have been proposed; however, in real-world aircraft flying conditions, the aircraft hydraulic system often has strong and complex noises. The methods proposed may not have good fault detection results in such a noisy environment. According to the situation, this work focuses on aircraft hydraulic system fault classification under the influence of a hydraulic working environment with Gaussian white noise. In order to eliminate the noise interference and adapt to the actual noisy environment, a new aircraft hydraulic fault diagnostic method based on empirical mode deposition (EMD) and long short-term memory (LSTM) is presented. First, the hydraulic system is constructed by AMESIM. One normal state and five fault states are considered in this paper. Eight-channel signals of different states are collected for network training and testing. Second, the EMD method is used to obtain the different intrinsic mode functions (IMFs) of the signals. Third, principal component analysis (PCA) is used to obtain the main component of the IMFs. Fourth, three different LSTM methods are chosen to compare and the best structure that is chosen is the gate recurrent unit (GRU). After that, the network parameters are optimized. The results under different noise environments are given. Then, a comparison between the EMD-GRU with several different machine learning methods is considered, and the result shows that the method in this paper has a better anti-noise effect. Therefore, the proposed method is demonstrated to have a strong ability of fault diagnosis and classification under the working noises based on the simulation results.
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4

Bronzaft, Arline L., Kathleen Dee Ahern, Regina McGinn, Joyce O'Connor, and Bartholomew Savino. "Aircraft Noise." Environment and Behavior 30, no. 1 (January 1998): 101–13. http://dx.doi.org/10.1177/0013916598301005.

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5

Tandon, N. "Aircraft Noise." Noise & Vibration Worldwide 34, no. 4 (April 2003): 11–14. http://dx.doi.org/10.1260/095745603321832471.

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Various noise measurement parameters/indices used to define aircraft and airport noise are explained. The noise zone limits used around airports in some countries are given. Noise prediction software can be used to generate noise contours around airports. New aircraft noise certification standards have been developed to encourage control of aircraft noise at source. Aircraft noise can also be reduced if noise abatement landing and take-off procedures are followed.
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6

Morinaga, Makoto, Takanori Matsui, Sonoko Kuwano, and Seiichiro Namba. "An experiment on the feeling of separation when multiple aircraft noises are overlapped." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 4 (August 1, 2021): 2058–63. http://dx.doi.org/10.3397/in-2021-2041.

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In order to calculate the A-weighted single event sound exposure level () of aircraft noise, the following method is described in the manual for aircraft noise measurement in Japan. Firstly a time-section, which is the range between two points where the noise level is 10 dB lower than the maximum noise level (), should be identified, and secondly the energy within the section is integrated. This method can easily be applied to the single event noises. When multiple aircraft noises are overlapped simultaneously, there are cases where cannot be calculated adequately by this method. In such cases, it is required to record the number of aircraft noises in the field measurements. However, even in the case of manned measurement, it is not easy to separate sound sources just by listening to the sound. A pilot study of the psychoacoustic experiment was conducted using the stimuli where multiple aircraft noises were overlapped in order to find what condition is needed so that multiple aircraft noises were separately perceived. It was suggested that a considerable time interval was needed so that people felt the separation between aircraft noises only with auditory information.
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7

Dekoninck, Luc. "Detecting and Correlating Aircraft Noise Events below Ambient Noise Levels Using OpenSky Tracking Data." Proceedings 59, no. 1 (December 3, 2020): 13. http://dx.doi.org/10.3390/proceedings2020059013.

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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.
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8

Bartkevičiūtė, Monika, and Raimondas Grubliauskas. "RESEARCH ON EMERGING AND DESCENDING AIRCRAFT NOISE / KYLANČIŲ IR BESILEIDŽIANČIŲ ORLAIVIŲ KELIAMO TRIUKŠMO TYRIMAI." Mokslas - Lietuvos ateitis 5, no. 4 (November 25, 2013): 337–42. http://dx.doi.org/10.3846/mla.2013.54.

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Along with an increase in the aircraft engine power and growth in air traffic, noise level at airports and their surrounding environs significantly increases. Aircraft noise is high level noise spreading within large radius and intensively irritating the human body. Air transport is one of the main sources of noise having a particularly strong negative impact on the environment. The article deals with activities and noises taking place in the largest nationwide Vilnius International Airport.The level of noise and its dispersion was evaluated conducting research on the noise generated by emerging and descending aircrafts in National Vilnius Airport. Investigation was carried out at 2 measuring points located in a residential area. There are different types of aircrafts causing different sound levels. It has been estimated the largest exceedances that occur when an aircraft is approaching. In this case, the noisiest types of aircrafts are B733, B738 and AT72. The sound level varies from 70 to 85 dBA. The quietest aircrafts are RJ1H and F70. When taking off, the equivalent of the maximum sound level value of these aircrafts does not exceed the authorized limits. The paper describes the causes of noise in aircrafts, the sources of origin and the impact of noise on humans and the environment. Article in Lithuanian. Santrauka Padidėjus orlaivių variklių galiai ir daugėjant skrydžių, labai padidėjo oro uostuose ir šalia jų esančiose apylinkėse skleidžiamo triukšmo lygis. Lėktuvo keliamas triukšmas išsiskiria aukštu garso slėgio lygiu bei dideliu spinduliu sklindančiu garsu ir yra labiausiai dirginantis žmogaus organizmą. Orlaivių transportas – vienas pagrindinių triukšmo šaltinių, darantis ypač didelę neigiamą įtaką aplinkai. Nagrinėjamas Tarptautiniame Vilniaus oro uoste kylančių ir tupiančių orlaivių keliamas triukšmas. Triukšmo tyrimai atlikti gyvenamojoje aplinkoje greta oro uosto parinktose matavimo vietose. Pateikiami įvairių orlaivių tipų sukeliamo garso stiprumo – garso slėgio lygiai. Didžiausias leistinųjų verčių viršijimas nustatomas orlaiviams leidžiantis. Triukšmingiausi B733, B738 ir AT72 tipo orlaiviai – garso slėgio lygis 70–85 dBA. Vieni tyliausių orlaivių – RJ1H ir F70. Jiems kylant ekvivalentinės ir maksimalios garso slėgio lygio reikšmės neviršija leidžiamųjų. Aprašomos orlaivių keliamo triukšmo priežastys, kilimo šaltiniai. Nagrinėjamas triukšmo poveikis žmogui ir aplinkai.
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9

Johansson, Anders. "Aircraft Approach Noise Trials." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 265, no. 2 (February 1, 2023): 5893–99. http://dx.doi.org/10.3397/in_2022_0875.

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This article presents the results from a series of aircraft approach trials that were conducted with the aim to investigate noise reduction procedures within the boundaries of a normal ILS approach. The significant decline in air traffic at Stockholm Arlanda, that occurred during the pandemic meant that the empty airspace and the availability of grounded aircrafts could be utilized to perform controlled flights - something that would have been difficult to achieve during normal traffic conditions. The approach trials were performed by two Airbus A321, which alternately carried out interrupted landing procedures starting 17 nautical miles (nm) from the runway threshold. During the trials, the aircraft speed and configuration (high lift devises and landing gear) were varied according to a predetermined schedule. To capture these variations, flight data (FDR) were recorded while the noise on ground was measured at positions approximately once every nautical mile along the flight track. Results suggest that speed and configuration recommendations can be effective to reduce noise, especially for the final 7 nautical miles of the flight track. However, whether a low speed is to be advocated during the entire approach is currently unclear.
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10

Remigi, Francesca, Daniele Sepulcri, Shanti Wisniewska, and Kalil Nayer Nouri. "Aircraft Noise Management." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 6 (August 1, 2021): 626–34. http://dx.doi.org/10.3397/in-2021-1586.

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Several studies predict an increase up to 40% in traffic flights by the 2040. Airport noise control is a complicated procedure which creates an interesting blend of science, politics, and money. Accordingly, in many communities where airport noise is perceived as a significant problem, a noise control program is sometimes viewed as a continual process, rather than a discrete solution which will come to an end at some point in time.This work is an overview in the existing European low framework and the noise abatement procedure put in place to manage the aircraft noise.
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11

Stephens, David G. "Aircraft noise control." Journal of the Acoustical Society of America 97, no. 5 (May 1995): 3323. http://dx.doi.org/10.1121/1.412832.

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12

Groeneweg, J. F., and E. J. Rice. "Aircraft Turbofan Noise." Journal of Turbomachinery 109, no. 1 (January 1, 1987): 130–41. http://dx.doi.org/10.1115/1.3262058.

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Recent advances in the understanding of turbofan noise generation and suppression in aircraft engines are reviewed with particular emphasis on NASA research. The review addresses each link in the chain of physical processes which connect unsteady flow interactions with fan blades to far field noise. Mechanism identification and description, duct propagation, radiation, and acoustic suppression are discussed. Recent advances in the experimental technique of fan inflow control assure that inflight generation mechanisms are not masked by extraneous sources in static tests. Rotor blade surface pressure and wake velocity measurements aid the determination of the types and strengths of the generation mechanisms. Approaches to predicting or measuring acoustic mode content, optimizing treatment impedance to maximize attenuation, translating impedance into porous wall structure, and interpreting far field directivity patterns are illustrated by comparisons of analytical and experimental results. A persistent theme of the review is the interdependence of source and acoustic treatment design to minimize far field noise. Areas requiring further research are discussed and the relevance of aircraft turbofan results to quieting other turbomachinery installations is addressed.
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13

Posey, Joe. "Aircraft noise prediction." Journal of the Acoustical Society of America 124, no. 4 (October 2008): 2461. http://dx.doi.org/10.1121/1.4782673.

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14

Filippone, Antonio. "Aircraft noise prediction." Progress in Aerospace Sciences 68 (July 2014): 27–63. http://dx.doi.org/10.1016/j.paerosci.2014.02.001.

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15

Wilby, J. F. "AIRCRAFT INTERIOR NOISE." Journal of Sound and Vibration 190, no. 3 (February 1996): 545–64. http://dx.doi.org/10.1006/jsvi.1996.0078.

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16

Einicke, Karina, and John Kennedy. "The impact of changing fleet makeup on airline noise emission." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 265, no. 7 (February 1, 2023): 846–53. http://dx.doi.org/10.3397/in_2022_0119.

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With the advent of the Environmental Noise Directive (END) population level modelling of exposure to aircraft noise has increased within Europe. Present noise exposure legislation focuses on airports whereas the greatest potential to implement noise reduction technologies lies with the airlines and aircraft manufacturers. This work focuses on the modelling the noise emission of the fleet of Europe's largest airline by passenger numbers, Ryanair. The noise reduction achieved at a fleet level will be evaluated and the impact of changing fleet makeup assessed. The airline's current fleet consists of 409 Boeing 737-800 aircraft and 29 Airbus A320-232 aircraft, while 210 new Boeing 737-8200 max aircraft are on order. The new aircraft have a 40 % smaller footprint in the 85dB(A) noise contour during take-off than the existing 737-800. The 85dB(A) contour of 737-800 stretches out around 4.5km along the runway, while the contour of 737-8200 max was reduced to ca. 2.5km. This is achieved by implementing new winglet design and more efficient power units, which operate with lower fuel consumption (and thus lower aircraft weight), less carbon emissions, and lower noise emissions. The impact of this change to the fleet is evaluated using a representative airport modelled in SoundPLAN. Noise contours generated with SoundPLAN show the noise effects of the different aircraft types of the historic, current and future Ryanair fleet under realistic operating conditions. Different departure profiles are investigated, depending on the aircrafts weight, altitude, speed, and thrust profile. The generated noise contours provide an evidence base for decision making within the airline for investments aiming to reduce noise levels around airports. The potential for reducing population exposure to noise under the framework of the END is presented.
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17

Behere, Ameya, Tejas Puranik, Michelle Kirby, and Dimitri Mavris. "Parametric optimization of aircraft arrival trajectories for aviation noise mitigation using BADA4 performance model." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 2 (August 1, 2021): 4641–51. http://dx.doi.org/10.3397/in-2021-2783.

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Successful mitigation of aviation noise is a key enabler for sustainable aviation growth. A key focus of this effort is the noise arising from aircraft arrival operations. Arrival operations are characterized by the use of high-lift devices, deployment of landing gear, and low thrust levels, which results in the airframe being the major component of noise. In order to optimize for arrival noise, management of the flap schedule and gear deployment is crucial. This research aims to create an optimization framework for evaluating various aircraft trajectories in terms of their noise impact. A parametric representation of the aircraft arrival trajectory will be created to allow for the variation of aircraft's flap schedule. The Federal Aviation Administration's Aviation Environmental Design Tool will be used to simulate the aircraft trajectory and performance, and to compute the noise metrics. Specifically, the latest performance model from EUROCONTROL called "Base of Aircraft Data - Family 4" will be used. This performance model contains higher fidelity modeling of aircraft aerodynamics and other characteristics which allows for better parametric variation.
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Yokoshima, Shigenori, Makoto Morinaga, Sohei Tsujimura, Koji Shimoyama, and Takashi Morihara. "Representative Exposure–Annoyance Relationships Due to Transportation Noises in Japan." International Journal of Environmental Research and Public Health 18, no. 20 (October 18, 2021): 10935. http://dx.doi.org/10.3390/ijerph182010935.

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This paper focuses on clarifying the relationship between noise exposure and the prevalence of highly annoyed people due to transportation noise in Japan. The authors accumulated 34 datasets, which were provided by Socio-Acoustic Survey Data Archive and derived from the other surveys conducted in Japan. All the datasets include the following micro-data: demographic factors, exposure, and annoyance data associated with specific noise sources. We performed secondary analyses using micro-data and established the relationships between noise exposure (Lden) and the percentage of highly annoyed people (%HA) for the following noise source: road traffic, conventional railway, Shinkansen railway, civil aircraft, and military aircraft noises. Among the five transportation noises, %HA for the military aircraft noise is the highest, followed by civil aircraft noise and Shinkansen railway noise. The %HA for conventional railway noise was higher than that for road traffic noise. To validate the representativeness of the exposure–response curves, we have discussed factors affecting the difference in annoyance. In addition, comparing the Japanese relationship with that shown in the “Environmental Noise Guidelines for the European Region,” we revealed that Japanese annoyance is higher than the WHO-reported annoyance.
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19

Tuân, Lê Đình, Anh Trần Tiến, and Hải Nguyễn. "On the airport environmental noise monitoring and control system." Science & Technology Development Journal - Engineering and Technology 3, SI2 (January 23, 2021): first. http://dx.doi.org/10.32508/stdjet.v3isi2.622.

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Most major airports use permanent noise and operations monitoring systems to reduce the noise of flight operations in the surrounding community. This paper aims at a technical proposal for a permanent environmental noise monitoring and control system to provide solutions to reduce the noise of flying activities for communities around the airport. Airport noise monitoring is often used to evaluate noise abatement programs and to improve the aircraft's take-off / landing procedures, to minimize the impact of aircraft noise based on altitude, flight path and time of day. Noise monitoring is usually linked to the tracking radar to determine which aircraft is in particular when the noise limit is exceeded and thus provides immediate operational requirements to meet. The airport noise enviromental monitoring and control system is often structured with fixed permanent noise monitoring stations, mobile noise monitoring stations, multi-parameter wheather stations, radar tracks and flights information to automatically evaluate the noise impact due to operation of aircrafts in the surrounds of airport, near and on residential areas. The entire system is operated by a software platform proposed as a cloud configuration available on the internet. The platform provides all the modules required to manage data such as noise and flight information monitoring and control, live data, reports, noise and flight information in public disclosure, complaints management, alarms and warnings, etc.
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20

Giladi, Ran, and Eliav Menachi. "Validating Aircraft Noise Models." Proceedings 59, no. 1 (December 3, 2020): 12. http://dx.doi.org/10.3390/proceedings2020059012.

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Aircraft noise, especially at takeoffs and landings, became a major environmental nuisance and a health hazard for the population around metropolitan airports. In the battle for a better quality of life, wellbeing, and health, aircraft noise models are essential for noise abatement, control, enforcement, evaluation, policy-making, and shaping the entire aviation industry. Aircraft noise models calculate noise and exposure levels based on aircraft types, engines and airframes, aircraft flight paths, environment factors, and more. Validating the aircraft noise model is a mandatory step towards the model credibility, especially when these models play such a key role with a huge impact on society, economy, and public health. Yet, no validation procedure was offered, and it turns out to be a challenging task. The actual, measured, aircraft noise level is known to be subject to statistical variation, even for the same aircraft type at the same situation and flight phase, executing the same flight procedure, with similar environmental factors and at the same place. This study tries to validate the FAA’s AEDT aircraft noise model, by trying to correlate the specific flight path of an aircraft with its measured noise level. The results show that the AEDT noise model underestimates the actual noise level, and four validation steps should be performed to correct or tune aircraft noise databases and flight profiles.
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Chernyak, Mykola, and Roman Chornomorets. "Experimental studies of electrical noise in the aircraft control system." MECHANICS OF GYROSCOPIC SYSTEMS, no. 39 (May 20, 2020): 31–46. http://dx.doi.org/10.20535/0203-3771392020229073.

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Currently, the problem of reducing noise in electrical equipment is important, because a noise in the system affects its components and can cause unpredictable behavior of the electrical system. This is especially important onboard of unmanned aerial vehicle (UAV), where all components are located close to each other and their noise has a significant cross-effect. Conductors passing through a noisy environment can pick up a noise and direct it to another circuits, where it creates interference. Some examples of such noise problems are: degraded accuracy characteristics of microcontroller modules (Analog-to-Digital Converters (ADC), Phase-Locked Loops (PLL) and other) due to noise on supply and reference voltages, wrong acquisition of the digital signals and interference with global navigation satellite system (GNSS) or remote control system of UAV. This article is dedicated to the research of the influence of electrical noise, which is formed by the components of the UAV control system (engines, electric motor controllers, microcontroller etc.), on the performance and noise protection of electronic components of the UAV control system. After the research it was concluded that the main sources of elecrtrical noise in the UAV control system are: high currents, consumed by electronic speed controllers (with motors), high-speed toggling of clock signal of SPI / I2C communication, regulation by step-down voltage regulator and internal processes inside the microcontroller due to work of flight control firmware. The waveforms of generated noises, caused by each source was measured with oscilloscope and depicted in the article.
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Felix Greco, Gil, Felix Wienke, Lothar Bertsch, Christoph Zellmann, Beat Schäffer, Tobias P. Ring, and Sabine C. Langer. "A comparative study of semi-empirical noise emission models based on the PANAM and sonAIR aircraft noise simulation tools." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 265, no. 2 (February 1, 2023): 5728–39. http://dx.doi.org/10.3397/in_2022_0847.

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In the context of aircraft noise simulations, an accurate representation of the aircraft noise sources is crucial so that reliable predictions can be obtained. In this contribution, we present a comparative study between the predictions provided by the emission models based on the DLR in-house code PANAM and the sonAIR simulation software. Both are based on semi-empirical descriptions of the engine and airframe noise contributions, meaning that the emission levels are modeled separately for each noise source according to the operational conditions of the aircraft. This allows the comparison of the emission models not only in terms of the aircraft's overall noise levels, but also regarding its different noise sources. The comparative study considers models representing the noise emissions of an A319 aircraft, which are provided by both simulation tools but further simulated within the sonAIR software environment in order to yield noise immission levels on a large calculation area. In general, a good agreement is observed for the departure procedure due to the similar performance of the engine noise models. In contrast, larger differences are observed during the approach procedure and at larger distances from the runway, which might be explained by differences in the airframe noise models.
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23

Gjestland, Truls. "Reactions to aircraft noise." Journal of the Acoustical Society of America 103, no. 5 (May 1998): 2875. http://dx.doi.org/10.1121/1.421535.

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24

Ford, Terry. "Aircraft Ageing and Noise." Aircraft Engineering and Aerospace Technology 62, no. 2 (February 1990): 28–30. http://dx.doi.org/10.1108/eb036902.

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25

Isermann, Ullrich, and Lothar Bertsch. "Aircraft noise immission modeling." CEAS Aeronautical Journal 10, no. 1 (March 2019): 287–311. http://dx.doi.org/10.1007/s13272-019-00374-5.

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Wang, Yiming, and Kai Ming Li. "Doppler's shift on aircraft noise propagation in modern aircraft noise prediction tools." Journal of the Acoustical Society of America 146, no. 4 (October 2019): 2824. http://dx.doi.org/10.1121/1.5136785.

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27

Goldschagg, Paul L. "Using supplemental aircraft noise information to assist airport neighbours understand aircraft noise." Transportation Research Part D: Transport and Environment 21 (June 2013): 14–18. http://dx.doi.org/10.1016/j.trd.2013.01.008.

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28

Zhang, Xiaoguang, Huixue Dang, and Bin Li. "Prediction of Aircraft Surface Noise in Supersonic Cruise State." Aerospace 10, no. 5 (May 8, 2023): 439. http://dx.doi.org/10.3390/aerospace10050439.

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The aerodynamic noise of an aircraft leads to vibration fatigue damage to structures. Herein, a prediction method for aircraft surface noise under the comprehensive effect of mixed acoustic sources during flight, primarily surface aerodynamic, air intake, and tail nozzle jet noises, was studied. In the supersonic cruising state, the internal and external flow fields of the aircraft were solved using the Reynolds-averaged Navier–Stokes equations to obtain the statistical average solution of the initial turbulence. The non-linear disturbance equation was used to obtain the surface acoustic load of the aircraft. The calculation results revealed that the main source of aircraft surface noise is aerodynamic noise. The sound pressure level on the fuselage increases gradually from front to rear along the aircraft, and the OASPL at the air intake and tail nozzle is relatively large. The jet noise has little effect on the sound pressure level at the front of the fuselage and only contributes to the OASPL at the tail nozzle of the fuselage. The intensity of pressure pulsations from the engine exhaust in the tail section is 93.3% of the total intensity of pressure pulsations.
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29

Cieślak, Sławomir, and Wiesław Krzymień. "Drivetrain Noise of The Gyroplane I-28." Transactions on Aerospace Research 2018, no. 1 (March 1, 2018): 7–16. http://dx.doi.org/10.2478/tar-2018-0001.

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Abstract Gyroplanes, as ultralight aircraft, are popular transport vehicles recently. Ultralight aircraft flights take place at a low altitude – their noise is not without effect on people and nature. The localization of the sources of noise and a possibility to decrease the noise of an gyroplane are described in this paper. The rules of design and exploitation of gyroplanes do not define the limits of emitted noise. Gyroplanes are not noisy aircraft vehicles but for their silencing the knowledge about the sources and frequency range of noise is necessary. The goal of the conducted measurement was to determine the gyro-plane noise properties and the noise measurement methods. The evaluation of the noise sources was made by acoustic beamforming and the directional emission with single microphones at various engine speeds. The supplement of these tests should be the rotor noise measurement but that investigation should be performed on a special stand, on which the rotor propulsion noise would not disturb the measurement.
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30

Xie, Jinlong, Lei Zhu, and Hsiao Mun Lee. "Aircraft Noise Reduction Strategies and Analysis of the Effects." International Journal of Environmental Research and Public Health 20, no. 2 (January 11, 2023): 1352. http://dx.doi.org/10.3390/ijerph20021352.

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In this study, six aircraft noise reduction strategies including the optimization of aircraft type, regulation of night flight number, optimization of flight procedure, modification of operating runway, land use planning and installation of sound insulation windows were proposed to alleviate the harmful impact of aircraft noise on the local area and population near Guangzhou Baiyun International Airport (BIA) in China. The effects of all proposed strategies except for land use planning and sound insulation windows were simulated and analyzed using CadnaA software. The results indicate that these noise reduction strategies have their own advantages and each of them can serve as an effective noise reduction measure for different applications. For instance, the replacement of noisy aircraft with low-noise aircraft can simultaneously reduce the area and population exposed to a high noise level, while the optimization of flight procedure can only reduce the population exposed under relatively low noise levels (70 ≤LWECPN ≤ 75 dB). Nevertheless, the modification of operating runway is more effective in reducing the population suffering under high noise levels (LWECPN > 85 dB). Among these strategies, reducing the number of night flights is found to be most effective in reducing the overall noise-exposed area and population. Additionally, with the assistance of noise mapping, proper land use planning was suggested according to national standards, and the installation of sound insulation windows with different sound reduction grades can be determined for different areas impacted by the aircraft noise of BIA. It is believed that the results of this study can be applied as a reference in selecting suitable noise reduction strategies to improve the acoustic environment of a specific airport.
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31

Collin, Dominique. "European Aircraft Noise Research Network (X3‐Noise)." Journal of the Acoustical Society of America 123, no. 5 (May 2008): 3524. http://dx.doi.org/10.1121/1.2934459.

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32

Moshkov, Petr, Valery Samokhin, and Alexey Yakovlev. "ABOUT THE COMMUNITY NOISE PROBLEM OF THE LIGHT PROPELLER AIRCRAFT." Akustika 34 (November 1, 2019): 66–71. http://dx.doi.org/10.36336/akustika20193466.

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A light aircraft community noise problem was considered. Basic aircraft noise sources were described. A model was presented to evaluate engine-propeller aircraft power plant noise that may be used while estimating both light aircraft community noise and flight paths providing aircraft inaudibility in the housing system area adjacent to an airfield. An effective engineering analysis agreement of experimental and design power plant noise data has been given. Major light aircraft communication noise reduction methods have been considered. The principal future investigation directions were stated to provide scientific-and-engineering experience in developing present-day low-noise light aircraft has been developed.
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33

Campos, Luiz Manuel Braga da Costa, Manuel José dos Santos Silva, and João Manuel Gonçalves de Sousa Oliveira. "On the effects of rough ground and atmospheric absorption on aircraft noise." Noise Mapping 9, no. 1 (January 1, 2022): 23–47. http://dx.doi.org/10.1515/noise-2022-0003.

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Abstract The noise received from an aircraft is modified by atmospheric attenuation and reflections from the ground. The interference of direct and reflected waves is simplest for a flat ground, whereas multiple reflections can occur for rough ground or mountainous surroundings. The ground characteristics, like reflection and absorption factors or impedance, also affect the received sound. All these effects have to be considered with respect to the path of the aircraft. Most of the literature about ground effects on aircraft noise considers a point source over a flat ground, using the method of images, that does not extend readily to rough ground. The effect of rough ground on aircraft noise can be modelled by: (i) identification of reflection points (there may be several points); (ii) use of a complex reflection coefficient (with amplitude and phase changes) at each reflection point; (iii) adding all reflected waves within line-of-sight of the receiver, that is not blocked by terrain (there is no blockage for a flat ground).
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34

Jäger, David, Christoph Zellmann, Felix Schlatter, and Jean Marc Wunderli. "Validation of the sonAIR aircraft noise simulation model." Noise Mapping 8, no. 1 (January 1, 2021): 95–107. http://dx.doi.org/10.1515/noise-2021-0007.

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Abstract sonAIR is a recently developed aircraft noise simulation model designed for single flight simulation while still being applicable for calculation of entire airport scenarios. This paper presents a rigorous validation exercise, wherein roughly 20’000 single flights were simulated using the 22 currently available sonAIR emission models of turbofan aircraft and compared against noise measurements. The measurements were recorded with the noise monitoring terminals at Zurich and Geneva airport, Switzerland, and with additional microphones installed by the author’s institution. Data from 22 measurement positions were analyzed, covering all departure and approach routes at distances from 1.8 to 53 kilometers from the airports. sonAIR was found to be accurate for departures and approaches under different operating conditions and aircraft configuration. The mean overall differences between simulation and measurements were well below ±1 dB in terms of noise event levels, with standard deviations of ±1.7 dB respectively ±2.4 dB, depending on the model type. A few aircraft types that displayed larger deviations are discussed individually. A sensitivity analysis on the input data found the quality and level of detail of the land cover data to be critical for the simulation accuracy. Changes in other input data such as atmospheric profiles and buildings had non-significant impacts.
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35

Hübner, Josephin, and Christoph Strümpfel. "Aircraft Noise Modeling of Departure Flights based on Flight Track Data and Actual Aircraft Performance Parameters." Lärmbekämpfung 15, no. 06 (2020): 188–93. http://dx.doi.org/10.37544/1863-4672-2020-06-18.

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Abstract The improvement of existing and the development of new operational noise abatement departure procedures (NADP) requires precise knowledge of the current aircraft noise situation in the vicinity of an airport. While the current noise situation is recorded using aircraft noise measurements, the estimation of future aircraft noise in the vicinity of airports must be calculated using suitable modeling methods (e. g. ECAC Doc 29). So far, the methods for estimating aircraft noise have been based on generic departure profiles and assumptions about flight operations procedures that do not match the real departure profiles, flight performance statuses and operational flight operations procedures sufficiently. In this article a method is presented that enables the calculation of aircraft noise contours of real departures using the aircraft noise modeling software Aviation Environmental Design Tool (AEDT). The exact calculation of aircraft noise contours from departures is based on a data set of flight history data (radar data), including the detailed estimation of aircraft performance parameters (including aircraft mass and engine thrust) and flight operations procedures (cutback and acceleration heights, flap schedule) along the departure trajectory. Then the data set is implemented in the modeling software and the calculated noise metrics (LA,MAX) are validated with real aircraft noise measurements of the corresponding flights.
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36

Chen, Ling, Qiang Li, Yizhi Zhang, and Liang Xu. "Civil Aircraft Airworthiness Noise Measurement." Journal of Physics: Conference Series 2489, no. 1 (May 1, 2023): 012020. http://dx.doi.org/10.1088/1742-6596/2489/1/012020.

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Abstract Civil aircraft noise is the main source of the airport and its surrounding areas, in recent years, with the continuous development of the air transport industry, aircraft noise has attracted more and more public attention, according to the International Civil Aviation Convention Annex 16 Volume I [1] and China Civil Aviation Regulations CCAR36 [2] Aircraft Type and Airworthiness Certification Noise Regulations. The noise limit requirements for transport aircraft are put forward. According to the requirements of the regulations, it is the key to determine that the aircraft meets the requirements of the regulations to obtain the noise data through flight tests and to obtain the equivalent perceived noise level through data processing. In the process of noise certification flight test, the noise measurement system should be arranged accurately in strict accordance with the requirements of airworthiness clauses, to accurately measure and record the noise and obtain the required data. In this paper, the noise airworthiness certification flight test of a certain type of civil aircraft is taken as an example, and the noise measurement system of civil aircraft is designed.
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37

Schwab, Olivier. "Redistribution of ground subtracks for aircraft noise calculations." Noise Mapping 7, no. 1 (January 1, 2020): 146–53. http://dx.doi.org/10.1515/noise-2020-0013.

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AbstractFor aircraft noise calculations, lateral flight dispersion is commonly represented by means of subtracks – a backbone track and side-tracks to each side of the backbone track – where each subtrack is assigned a movement percentage. Aircraft noise calculations impose quality demands on these subtracks, while the latter are often created based on limited information.This paper presents a method to increase flexibility when designing subtracks. The method allows to redistribute subtracks geometrically, allowing for the design of simplified track representations, for instance through a lower number of subtracks and very basic indications of movement allocations. The method is based on the geometric matching of the initial subtracks and on the estimation of the lateral movement distributions for both input and final output subtracks. No restrictions on the number of sub-tracks or on the shape of the distributions are needed, neither for the input nor for the output. A number of examples of the redistribution and its effect on aircraft noise calculations are discussed.
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38

Choirunisa, Ristyna. "Hearing Loss And Health Complaints In Technicians Air Skadron 3 Iswahjudi Airport And Its Association With Aircraft Noise." JURNAL KESEHATAN LINGKUNGAN 11, no. 1 (February 1, 2019): 61. http://dx.doi.org/10.20473/jkl.v11i1.2019.61-68.

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Aviation is the most significant part of Indonesian Air Force duty. Air Force’s aircraft takes a role not only as Indonesian army agency transportation vehicle but also crucial for Indonesian air territory security protection. However the level of noises resulted from Air Force aviation operation activity such as take off of aircraft reached 130 dBA, so the operation can causes auditory and non auditory adverse effects such as communication, physiological disorder, and psycological disorder. The aim of this study is to analyze factors induced to the hearing loss and analyze the effects of aircraft noises to technician health complaints. This research using case control approach and it was conducted by recruiting subject respondents group randomly of 20 officers includes of 10 technician as study group and 10 non technician as control group. The measurement of aircraft noise level was performed 4 times during 8 hours used Sound Level Meter. The results of aircraft noise measurement in flightline area was exceeding the threshold value of 95,56 dBA. The results of the study shows that aircraft noise significantly associated with to technician hearing loss p-value=0,026 (Spearman correlation test, p<0,05). Other factors that are associated significantly with technician hearing loss include aged p-value=0,023 (Pearson correlation test, p<0,05). Insignificant association is showed for work period with p-value=0,038 (spearman correlation test, p<0,05). In addition, the aircraft noise is associated to health complaint as psychological disorder p-value=0,033 (simple logistic regression test, p-value <0,05). The conclusion of research is that aircraft activities affected hearing loss and technician psychological disorder.
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39

Felix Greco, Gil, Bekir Yildiz, Jan Göing, Tobias P. Ring, Thomas Feuerle, Peter Hecker, and Sabine C. Langer. "Environmental Noise Assessment of Holding Approach Procedures Using a Multi-Level Simulation Framework." Aerospace 9, no. 10 (September 23, 2022): 544. http://dx.doi.org/10.3390/aerospace9100544.

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Computational models of sufficient quality are indispensable to quantitatively assess aircraft noise reduction measures. Within this study, a multi-level simulation framework is established in order to predict the environmental noise of holding approach procedures by coupling simulation models from three different domains: flight performance calculation employing the base of aircraft data (BADA), jet engine performance using the software Gasturb and aircraft noise simulations based on the software sonAIR. Two different concepts of holding approach procedures are investigated, namely, the vertical holding stack and the linear hold point merge. The study is conducted considering generic air traffic scenarios at a single-runway airport. Thereby, the investigated air traffic is based on a statistical analysis of traffic data at existing airports and thus assumed to be representative. As the aircraft’s noise emission depends on both the aircraft and the engine performance, reliable results can be expected only if all individual challenges and interdependencies are accounted for simultaneously. Addressing this challenge is the main contribution of the presented work. The presented results show the plausibility of the proposed multi-level simulation framework, thus supporting its use to investigate the environmental noise impact of air traffic scenarios.
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40

Bukhtiyarov, Igor V., Nicolay N. Courierov, Alla V. Lagutina, Lyudmila V. Prokopenko, and Evgeny V. Zibarev. "Aircraft noise in residential areas, problems of measuring and evaluation." Hygiene and sanitation 99, no. 10 (November 30, 2020): 1042–48. http://dx.doi.org/10.47470/0016-9900-2020-99-10-1042-1048.

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The intensity of civil aircraft flights elevates with the increase in the number of passenger and cargo transportation by air. Aircraft noise in the residential area near airports grows up too despite the use of low-noise aircraft models by airlines. This causes an augmentation in the number of complaints of the population in these areas. The Russian Federation’s normative and methodological documents requirements in force relating to measurements and assessment of noise in residential areas, including «aircraft noise», were analyzed. Their requirements in terms of measuring and assessing noise in residential areas, including “aircraft noise”, testifies to the insufficiency and ambiguity of these requirements. The main disadvantages are the lack of a clear definition of which sound event is considered «aircraft noise» and the lack of requirements for the duration of the reference time interval of noise measurement. The foreign experience of measuring and evaluating aircraft noise, as well as the effects of such noise on the population, are considered. This made it possible to determine the necessary and sufficient parameters for noise control in residential areas, including «aircraft noise». There were proposed both a definition of «aircraft noise» and the necessary parameters for its assessment. The necessary duration of the reference time interval for the measurement of normalized parameters was justified. Method for the normalized noise parameters in residential areas measurement using the chronograms of sound levels A was proposed. The technical implementation of such a method is presented. Proposed a definition of «aircraft noise» and measuring normalized parameters in the 15-minute reference time interval for inclusion in regulatory and methodological documents will help to eliminate ambiguity in measurements and noise assessment in residential areas.
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41

Sakoda, Keishi, Ichro Yamada, and Kenji Shinohara. "Sound arrival direction and acoustic scene analysis for the monitoring of airport noise." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 2 (August 1, 2021): 4581–91. http://dx.doi.org/10.3397/in-2021-2753.

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The authors have developed a sound direction detection method based on the cross-correlation method and applied it to automatic monitoring of aircraft noise and identification of sound sources. As aircraft performance improves, noise decreases, and people are interested in and dissatisfied with low-level noise aircraft, especially in urban areas where environmental noise and aircraft noise combine to complicate the acoustic environment. Therefore, it is necessary to monitor and to measure not only aircraft noise but also environmental noise. Since our surveillance is aircraft noise, it is important to analyze noise exposure from acoustic information rather than trucks or images. In this report, we will look back on the development process of this sound direction detection technology, show examples of helicopters and application examples of acoustic scene analysis to high-altitude aircraft, and consider the latest situation realized as acoustic environment monitoring. We believe that this analysis will make it easier to understand the noise exposure situation at the noise monitoring station. It also describes the future outlook for this method.
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42

Zaporozhets, Oleksandr, Kateryna Kazhan, Kateryna Synylo, and Sergii Karpenko. "Aircraft Noise Compatibility of the Airports with Progress of Noise Reduction at Source." Volume 03 Issue 02 vm03, is02 (December 29, 2022): 96–111. http://dx.doi.org/10.23890/ijast.vm03is02.0204.

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Сreation of noise exposure maps and airport noise compatibility programs are the basic steps in aircraft noise exposure and impact management in/around the airports, both of them are fundamental for aircraft noise zoning procedures. Noise reduction at source is also a strategic element of this management, and efficient implementation of quieter aircraft designs in operation provides closer distances of the boundaries of noise zones prohibited for residences to runway axis. These new conditions oblige the decision-makers, responsible for noise management, to be stricter with procedures for noise zones definition and to include in consideration a number of new acoustic sources inside the aerodrome besides the aircraft in flight operation, which may influence the overall exposure and impact of noise on population living or/and acting around the airport. In other words, current noise exposure maps and airport noise compatibility programs must include these dominant noise sources at specific locations of the airport also, not only the flight noise sources, as it was enough before. Today such essential noise sources for consideration in airport noise management are the aircraft in maintenance and overhaul and the aircraft during the taxing between the runway and stands on apron first of all, especially if their locations are quite far from aircraft flight operation routes and close to the residential areas around the aerodrome. The noise maps are required to be calculated currently, as for aircraft operation, so as for their maintenance and overhaul, but the measurements are evident also for their confidence and accuracy purposes.
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43

Wu, Chunhui, and Stephane Redonnet. "Prediction of Aircraft Noise Impact with Application to Hong Kong International Airport." Aerospace 8, no. 9 (September 15, 2021): 264. http://dx.doi.org/10.3390/aerospace8090264.

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As part of a collective research effort towards greener aviation, the present study focuses on the noise impact of aircraft operations around major airports. To this end, an aircraft noise prediction platform is developed, which relies on state-of-the-art functionalities as well as more specific, innovative features. Originally built upon the Aircraft Noise and Performance (ANP) database and its Noise–Power–Distance (NPD) table, the method is further refined to alleviate most of their inherent limitations (e.g., standardized and simplified aircraft noise scenarios). The resulting aircraft noise prediction platform is validated against benchmark cases of increasing complexity, being then applied to real-life situations involving actual aircraft operations around Hong Kong International Airport (HKIA). Specific comparative analyses are conducted, which allow highlighting the variability of the noise impact by aircraft, depending on their type (A330, B777) and/or operational conditions (power settings, meteorological conditions, routes, banks, etc.). The study delivers insightful outcomes, whether phenomenological (aircraft noise impact) or methodological (aircraft noise prediction). As a by-product, it illustrates how noise prediction methods/platforms such as the present one may help in guiding the further expansion of airport operations and/or infrastructures (as is currently the case with HKIA).
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44

Nguyen, Thu Lan, Thi Thanh Vu, Naoaki Shinohara, Koichi Makino, Keishi Sakoda, and Ichiro Yamada. "New guidance manual for the monitoring and evaluation of aircraft noise in Vietnam with an experimental application to the aircraft noise monitoring at Noi Bai International Airport." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 265, no. 2 (February 1, 2023): 5759–68. http://dx.doi.org/10.3397/in_2022_0850.

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Along with air traffic expansion, an increasing number of complaints from residents regarding aircraft noise from the airport operation has raised an environmental awareness of aircraft noise pollution in Vietnam. It is an urgent task for local authorities to assess aircraft noise exposure reliably. Aircraft noise monitoring systems and suitable policies need to be developed for land use and flight operation control to reduce and prevent aircraft noise pollution. However, Vietnam has had no legal documents or instructions on measurement and evaluation methods or the equipment and monitoring systems for measuring and analyzing aircraft noise. Against that background, the Civil Aviation Authority of Vietnam (CAAV) has developed a new guidance manual to measure and evaluate aircraft noise within the cooperation project on Airport Environment Preservation and Aircraft Noise Monitoring in Vietnam. This project was implemented by the CAAV, the Japan International Cooperation Agency (JICA), and RION Co., Ltd.. As a model case, a system of the minimum required equipment with four noise monitors for the continuous monitoring of aircraft noise was installed around Noi Bai International Airport. This study explains the formulation of the new guidance manual and discusses the analysis results of the monitoring data obtained from January 2019 to August 2021.
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45

Vidović, Andrija, Igor Štimac, and Robert Zečević-Tadić. "Aircraft Noise Monitoring in Function of Flight Safety and Aircraft Model Determination." Journal of Advanced Transportation 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/2850860.

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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.
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46

Водопьян, Е. А., Т. Н. Середа, and В. И. Рябков. "АНАЛІЗ МЕТОДІВ ЗНИЖЕННЯ АВІАЦІЙНОГО ШУМУ В ДЖЕРЕЛІ І НА МІСЦЕВОСТІ." Open Information and Computer Integrated Technologies, no. 84 (July 2, 2019): 144–56. http://dx.doi.org/10.32620/oikit.2019.84.07.

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Currently, the topic of research of the aircraft noise influence on the environment is relevant. Aircraft and engine developers are constantly exploring ways to reduce noise following the new standards of the ICAO Committee (CAEP), whose main task is to protect the environment from the effects of aviation, to provide a comfortable environment for people exposed to aircraft noise and harmful substances. By limiting the permissible noise level of aircraft, CAEP initiates aircraft manufacturers to introduce the latest noise reduction technologies in their design. Measurement of aircraft noise is obviously an important type of research not only in the aircraft industry. The existing airports in the course of reconstruction, and new ones at the project development stage, should be mandatory tested on indicators of aircraft noise, which will penetrate into the surrounding area, including settlements of various sizes. Currently, scientists from different countries are making significant efforts to reduce the turbine noise of existing and prospective civil aircraft. Of course, nowadays, external jamming methods are commonly used. At the same time, an important way to reduce engine noise was the widespread use of so-called sound-absorbing structures. This article describes the direction of reducing the level of aircraft noise at the source and on the ground, near airports. To reduce the noise in the source of noise, the ways to reduce the turbulence of the streamlined aerodynamic bearing surfaces are considered by reducing their inductive resistance and matching the flow of gas in power plants. It is shown that the implementation of such approaches in modifications of domestic passenger and transport aircraft gives a positive result. When solving the problem of reducing noise on the ground, the study analyzed the effect of aviation noise on the population living near the airport as an example. The necessity of using soundproofing means in residential areas to reduce noise exposure is shown. An analysis of the effects of noise exposure is given. In conclusion, the preliminary results obtained in the course of research are presented.
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47

Piccirillo, Grazia, Nicole Viola, Roberta Fusaro, and Luigi Federico. "Guidelines for the LTO Noise Assessment of Future Civil Supersonic Aircraft in Conceptual Design." Aerospace 9, no. 1 (January 4, 2022): 27. http://dx.doi.org/10.3390/aerospace9010027.

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One of the most critical regulatory issues related to supersonic flight arises from limitations imposed by community noise acceptability. The most efficient way to ensure that future supersonic aircraft will meet low-noise requirements is the verification of noise emissions from the early stages of the design process. Therefore, this paper suggests guidelines for the Landing and Take-Off (LTO) noise assessment of future civil supersonic aircraft in conceptual design. The supersonic aircraft noise model is based on the semi-empirical equations employed in the early versions of the Aircraft NOise Prediction Program (ANOPP) developed by NASA, whereas sound attenuation due to atmospheric absorption has been considered in accordance with SAE ARP 866 B. The simulation of the trajectory leads to the prediction of the aircraft noise level on ground in terms of several acoustic metrics (LAmax, SEL, PNLTM and EPNL). Therefore, a dedicated validation has been performed, selecting the only available supersonic aircraft of the Aircraft Noise and Performance database (ANP), that is, the Concorde, through the matching with Noise Power Distance (NPD) curves for LAmax and SEL, obtaining a maximum prediction error of ±2.19%. At least, an application to departure and approach procedures is reported to verify the first noise estimations with current noise requirements defined by ICAO at the three certification measurement points (sideline, flyover, approach) and to draw preliminary considerations for future low-noise supersonic aircraft design.
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48

Smith, Andrew, and Stephen Stansfeld. "Aircraft Noise Exposure, Noise Sensitivity, and Everyday Errors." Environment and Behavior 18, no. 2 (March 1986): 214–26. http://dx.doi.org/10.1177/0013916586182004.

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49

Brink, Mark, Dirk Schreckenberg, Georg Thomann, and Mathias Basner. "Aircraft Noise Indexes for Effect Oriented Noise Assessment." Acta Acustica united with Acustica 96, no. 6 (November 1, 2010): 1012–25. http://dx.doi.org/10.3813/aaa.918364.

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50

Dowling, A. P., and T. Hynes. "Towards a silent aircraft." Aeronautical Journal 110, no. 1110 (August 2006): 487–94. http://dx.doi.org/10.1017/s000192400000138x.

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Abstract We set a target for a ‘Silent’ aircraft to be imperceptible outside the airfield perimeter in an urban environment, and then address conceptual designs to meet this requirement. Avoiding some traditional aircraft noise sources requires a radical rethink about the configuration. An all-lifting design has many benefits, enabling a closer integration of airframe and engine than the traditional ‘tube and wing’. Low-noise design includes taking advantage of shielding of engine noise by the airframe; low-noise engines with large, low speed jets; an order of magnitude increase in absorption by liners; and operations for low-noise informing the design. Progress to date on the Silent Aircraft Initiative is presented, along with some conceptual aircraft and engine designs. The further work needed to develop these into viable future aircraft is discussed.
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