Development and Analysis of Improved Departure Modeling for Aviation Environmental Impact Assessment

Gao, Zhenyu; Behere, Ameya; Li, Yongchang; Lim, Dongwook; Kirby, Michelle; Mavris, Dimitri N.

doi:10.2514/1.c036105

Cited by 11 publications

(7 citation statements)

References 4 publications

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“…Users may choose from predefined standard or alternate weight (AW) definitions for the aircraft of interest. The alternate weight option accounts for higher load factor assumptions that have been obtained through considerations for real-world operations [17,26]. This enables the user to approximate takeoff weight based on a flight's trip length in the absence of more detailed weight information.…”

Section: A Noise Modeling Within Aviation Environmental Design Tool (...mentioning

confidence: 99%

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Takeoff Ground Roll Analysis of Real-World Operations for Improved Noise Modeling

Bhanpato

Behere

Kirby

et al. 2023

AIAA SCITECH 2023 Forum

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The ability to quantify aviation environmental impacts accurately is one of the key enablers for sustainable aviation growth. The Aviation Environmental Design Tool (AEDT) offers the capability to model aircraft operations and quantify the associated environmental impacts in terms of emissions and noise metrics. In a departure, the takeoff ground roll segment has a large contribution to the overall noise footprint from the operation. Discrepancies between modeling assumptions and real-world operations during takeoff ground roll not only lead to inaccuracies in peak noise levels but also affect noise contours throughout the downstream departure operation. This study investigates the modeling assumptions for B737-800 and B737-900 takeoff ground roll at Hartsfield-Jackson Atlanta International Airport (KATL) using high-fidelity real-world flight and surface weather data. Aircraft trajectory, takeoff weight, thrust, and weather conditions are extracted from real-world operations for modeling. This study quantifies the performance and noise differences arising from real-world variability during takeoff ground roll. Additionally, the sensitivity of noise results to inaccuracies during takeoff ground roll is investigated. The outcome of this study is the identification of sources of noise differences arising from modeling assumptions and their relative importance for accurate representation of real-world operations, thereby enabling more accurate noise modeling.

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Section: A Noise Modeling Within Aviation Environmental Design Tool (...mentioning

confidence: 99%

“…Noise impacts are dependent on performance variations as well as weather conditions [17][18][19]. Noise can either be reduced or redistributed away from the community by varying performance parameters as a proxy for piloting commands [20].…”

Section: Introductionmentioning

confidence: 99%

Takeoff Ground Roll Analysis of Real-World Operations for Improved Noise Modeling

Bhanpato

Behere

Kirby

et al. 2023

AIAA SCITECH 2023 Forum

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“…AEDT provides two weight options for each stage length-standard or alternate weight. The alternate weight option accounts for higher load factor assumptions that have been obtained by considerations for real-world operations [6,7].…”

Section: Aviation Environmental Design Tool (Aedt)mentioning

confidence: 99%

“…The library is subdivided into NADP 1 and NADP 2 based on "Close-in" and "Distant" benefits, respectively [3]. These definitions can be represented in AEDT as procedural profiles for modeling average departure procedures at an airport and expanded based on combinations of AEDT weights and reduced thrust (RT) levels [7]. However, including such a high number of profiles as modeling options in AEDT was undesirable.…”

Section: Noise Abatement Departure Procedures (Nadps)mentioning

confidence: 99%

Data-Driven Analysis of Departure Procedures for Aviation Noise Mitigation

Bhanpato

Puranik

Mavris

2021

The 9th OpenSky Symposium

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The mitigation of aviation environmental effects is one of the key requirements for sustainable aviation growth. Among various mitigation strategies, Noise Abatement Departure Procedures (NADPs) are a popular and effective measure undertaken by several operators. However, a large variation in departure procedures is observed in real operations. This study demonstrates the use of OpenSky ADS-B departure data for comparison and quantification of the differences in trajectories and the resulting community noise impact between real-world operations and NADPs. Trajectory comparison is accomplished in order to gain insights into the similarity between NADPs and real-world procedures. Clustering algorithms are employed to identify representative departure procedures, enabling efficient high-fidelity noise modeling. Finally, noise results are compared in order to quantify the difference in environmental impacts arising from variability in real-world trajectories. The methodology developed enables more efficient and accurate environmental analyses, thereby laying the foundation for future impact assessment and mitigation efforts.

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“…The Aviation Environmental Design Tool (AEDT) has been a cornerstone in aviation environmental impact assessment in the U.S., particularly at airports where The Aviation Environmental Design Tool (AEDT) has been a cornerstone in aviation environmental impact assessment in the U.S., particularly at airports where comprehensive aircraft operation and fleet mix data are readily available [11,12,17]. Researchers have explored strategies for optimizing aircraft departure and arrival procedures to enhance aviation environmental impact assessments, heavily relying on AEDT [18][19][20][21][22][23][24][25][26][27][28][29][30][31]. Notably, Behere et al [30] pioneered a data-driven approach to refining noise assessments using AEDT and openly accessible surveillance data.…”

Section: Introductionmentioning

confidence: 99%

An Experimental and Analytical Approach to Evaluate Transponder-Based Aircraft Noise Monitoring Technology

Yang,

Mott

2024

Aerospace

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Aviation is a vital modern transportation sector connecting millions of passengers globally. Sustainable aviation development holds substantial community benefits, necessitating effective management of its environmental impacts. This paper addresses the need for an accurate and cost-effective aircraft noise monitoring model tailored to non-towered general aviation airports with limited resources for official air traffic data collection. The existing literature highlights a heavy reliance on air traffic data from control facilities in prevailing aircraft noise modeling solutions, revealing a disparity between real-world constraints and optimal practices. Our study presents a validation of a three-stage framework centered on a low-cost transponder unit, employing an innovative experimental and analytical approach to assess the model’s accuracy. An economical Automatic Dependent Surveillance-broadcast (ADS-B) receiver is deployed at Purdue University Airport (ICAO Code: KLAF) to estimate aircraft noise levels using the developed approach. Simultaneously, a physical sound meter is positioned at KLAF to capture actual acoustic noise levels, facilitating a direct comparison with the modeled data. Results demonstrate that the developed noise model accurately identifies aircraft noise events with an average error of 4.50 dBA. This suggests the viability of our low-cost noise monitoring approach as an affordable solution for non-towered general aviation airports. In addition, this paper discusses the limitations and recommendations for future research.

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Development and Analysis of Improved Departure Modeling for Aviation Environmental Impact Assessment

Cited by 11 publications

References 4 publications

Takeoff Ground Roll Analysis of Real-World Operations for Improved Noise Modeling

Takeoff Ground Roll Analysis of Real-World Operations for Improved Noise Modeling

Data-Driven Analysis of Departure Procedures for Aviation Noise Mitigation

An Experimental and Analytical Approach to Evaluate Transponder-Based Aircraft Noise Monitoring Technology

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