sonAIR – a GIS-Integrated Spectral Aircraft Noise Simulation Tool for Single Flight Prediction and Noise Mapping

2018 ◽  
Vol 104 (3) ◽  
pp. 440-451 ◽  
Author(s):  
Jean Marc Wunderli ◽  
Christoph Zellmann ◽  
Micha Köpfli ◽  
Manuel Habermacher
Keyword(s):  
Aircraft Noise ◽  
Simulation Tool ◽  
Noise Mapping ◽  
Noise Simulation

Prediction and simulation of aircraft noise in the international Eskisehir Hasan Polatkan airport (LTBY)

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Halil Yalcin Akdeniz ◽  
Mehmet Ziya Sogut ◽  
Onder Turan
Keyword(s):  
Noise Level ◽  
Time Frame ◽  
Aircraft Noise ◽  
International Standards ◽  
Civil Aviation ◽  
Time Zone ◽  
Noise Emission ◽  
Night Time ◽  
Noise Mapping ◽  
Content Type

Purpose In recent years, in parallel with the increasing air traffic and the number of passengers in air transport, the number of people exposed to aircraft-induced noise has increased significantly. Especially people living in the areas close to the airports are affected by noise emission during the landing, take-off, taxi and ground operations. Negative effects of noise such as sleep disturbance, lack of concentration, anxiety and high blood pressure cardiac diseases were determined directly or indirectly for human health. For this reason, examining the noise effect caused by aircraft and determining the necessary measures to be taken is very important for the sustainable development of aviation. In the International Eskisehir Hasan Polatkan Airport (LTBY), this paper aims to calculate a noise mapping following international standards in line with the directives of the International Civil Aviation Organization (ICAO). Also, Annex 8, “Airworthiness of Aircrafts” and Annex 16, “Environmental Protection Volume 1 Aircraft Noise”, which were taken at the International Civil Aviation Convention, were proposed to determine the exposure caused by aircraft noise. Design/methodology/approach In this paper, noise levels for the day (07.00–19.00), evening (19.00–23.00) and night (23.00–07.00) period around LTBY were predicted and calculated by the use of the IMMI software according to the “ECAC Doc. 29-Interim” method for the prediction and computation of the aircraft noise. Findings According to the calculated/mapped values, in the 24 hours (Lden), the noise level is 65 dB (A) and above. In the day time zone, the noise level is 63 dB (A) and above. When the calculations for the evening time zone are examined, the noise level is above 58 dB (A). When the calculations for the night time frame are examined, it is calculated that there is no dwelling that is affected by the noise level above 53 dB (A). Practical implications Along with future improvements, it is recommended to be applied to other civil airports. Originality/value To the best of the authors’ knowledge, there is no previous research in the literature on aircraft noise mapping of LTBY. Also, unlike the software commonly used in other works in the literature, IMMI software was used in this study. Such investigations should be carried out in other civil airports in the coming years to struggle with noise emissions and noise control. If noise boundary values are exceeded, action plans should be developed for a sustainable aviation concept. Along with future improvements, it is recommended to be applied to other civil airports.

scholarly journals Assessing Health Effects and Soundscape Analysis as New Mitigation Actions Concerning the Aircraft Noise Impact in Small- and Middle-Size Urban Areas in Greece

Environments ◽  
2019 ◽  
Vol 6 (1) ◽  
pp. 4 ◽  
Author(s):  
Georgia Gerolymatou ◽  
Nicolas Rémy ◽  
Konstantinos Vogiatzis ◽  
Vassiliki Zafiropoulou
Keyword(s):  
Health Effects ◽  
Urban Areas ◽  
Environmental Noise ◽  
Aircraft Noise ◽  
Population Exposure ◽  
Noise Mapping ◽  
Acoustic Environment ◽  
International Airport ◽  
Disability Adjusted Life ◽  
The Impact

In 2013 and 2014, two main International Airports in Greece were evaluated through the European directive on noise environment 2002/49/EC: “Nikos Kazantzakis” International Airport of Heraklion Crete and “Ioannis—Kapodistrias” International Airport in Corfu, both located in highly touristic areas of Greece. Acoustic measurement’s campaign, environmental noise mapping simulations and population exposure to noise were implemented in order to produce a complete Strategic Noise Map. Correlated to this acoustic approach, a comprehensive interview campaign and a detailed soundscape analysis were also conducted in both airports’ adjacent areas (Alikarnassos district in Heraklion and the peninsula of Canoni in Corfu City) in order to understand the impact of aircraft movements on both local residents and tourists, and analyze the perception of the soundscapes. A similar evaluation was also executed in order to assess possible health effects by using the WHO’s DALY’s (Disability Adjusted Life Year) metrics for environmental noise in relation to the exposure of the population. This paper presents the main results of these representative case studies, attempting a combined assessment of both health effects and soundscape characteristics to be used as evaluation tools towards the management and the rehabilitation acoustic environment characterized mainly by aircraft noise in touristic areas.

scholarly journals Aircraft noise mapping: Bacacheri Airport

2020 ◽  
Vol 8 (68) ◽  
Author(s):  
Daniel De Oliveira e Souza ◽  
Paulo Henrique Trombetta Zannin
Keyword(s):  
Aircraft Noise ◽  
Noise Mapping

scholarly journals Validation of the sonAIR aircraft noise simulation model

Noise Mapping ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 95-107
Author(s):  
David Jäger ◽  
Christoph Zellmann ◽  
Felix Schlatter ◽  
Jean Marc Wunderli
Keyword(s):  
Simulation Model ◽  
Input Data ◽  
Aircraft Noise ◽  
Flight Simulation ◽  
Operating Conditions ◽  
Simulation Accuracy ◽  
Noise Simulation ◽  
Land Cover Data ◽  
Noise Measurements ◽  
Emission Models

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.

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.

Next generation aircraft noise-mapping

2021 ◽  
Vol 263 (4) ◽  
pp. 2064-2075
Author(s):  
Ulf Tengzelius ◽  
Anders Johansson ◽  
Mats Åbom ◽  
Karl Bolin
Keyword(s):  
Aircraft Noise ◽  
Trajectory Data ◽  
Current Version ◽  
Sound Sources ◽  
Noise Mapping ◽  
Time Stepping ◽  
Simulation Based ◽  
Time Histories ◽  
Historical Database ◽  
Aircraft Trajectory

At CSA, Centre for Sustainable Aviation at KTH Stockholm, several projects have run during the last 4 years. One outcome from this research is the SAFT-program for prediction of aircraft noise contours (noise-mapping) and time-histories in receiving points on ground. SAFT is a versatile and comprehensive tool already including several computational methods such as standard ECACdoc.29 method and more accurate time-stepping simulation-based representations of aircraft sound sources (frequency and direction dependent). The program allows for input of "general aircraft trajectory input" in the sense that either the trajectory data of concern is fitted to the current pre-defined formats or SAFT is easily updated to read a "new" format. Among the pre-defined formats of current version is csv-files prepared from OpenSky Historical database. From these kinds of data thrust and other noise-predictor variables are extracted and applied for noise-mapping. Moreover, SAFT allows for studies of aggregated air-traffic in defined areas as well as of single event flight-trajectories. And for these almost any metric (L, L, L, L, ...) might be extracted together with differences in dB, "Delta-dB", between any two scenarios or individual flights. Could be routing, runway-use, individual flight procedures etc. Anticipated future implementations involve drone trajectories and sound-source representations.

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