Development of a Fast Method to Analyze Patterns in Airport Noise
Traditional airport noise modeling is limited in its ability to analyze large quantities of flight tracks due to high computation time. As a result, yearly noise reports are often limited to modeling flights from a single “representative day,” which lacks detail arising from the natural dispersion o...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2022
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| Online Access: | https://hdl.handle.net/1721.1/140044 |
| _version_ | 1826191887299510272 |
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| author | Jansson, Madeleine |
| author2 | Hansman, R. John Jr. |
| author_facet | Hansman, R. John Jr. Jansson, Madeleine |
| author_sort | Jansson, Madeleine |
| collection | MIT |
| description | Traditional airport noise modeling is limited in its ability to analyze large quantities of flight tracks due to high computation time. As a result, yearly noise reports are often limited to modeling flights from a single “representative day,” which lacks detail arising from the natural dispersion of flight tracks and variety in airport operations occurring throughout an entire year of operations.
A framework for processing actual flight data and applying an existing, fast noise approximation is presented. Tens of thousands of flights can be analyzed in a matter of hours, allowing for a data-comprehensive approach to calculating noise metrics. Method results are cross-validated against the Aviation Environmental Design Tool (AEDT) on a single-event basis and an existing aggregate result on a multi-event basis.
Results for a variety of metrics are presented based on data sourced from Boston Logan International Airport in 2016. Day-Night-Level (DNL) is calculated on a yearly, daily, and hourly basis, highlighting the variability in noise patterns depending on evolving airport runway configuration. N60 is calculated as a supplemental metric on a daily basis. |
| first_indexed | 2024-09-23T09:02:50Z |
| format | Thesis |
| id | mit-1721.1/140044 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T09:02:50Z |
| publishDate | 2022 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1400442022-02-08T03:59:31Z Development of a Fast Method to Analyze Patterns in Airport Noise Jansson, Madeleine Hansman, R. John Jr. Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Traditional airport noise modeling is limited in its ability to analyze large quantities of flight tracks due to high computation time. As a result, yearly noise reports are often limited to modeling flights from a single “representative day,” which lacks detail arising from the natural dispersion of flight tracks and variety in airport operations occurring throughout an entire year of operations. A framework for processing actual flight data and applying an existing, fast noise approximation is presented. Tens of thousands of flights can be analyzed in a matter of hours, allowing for a data-comprehensive approach to calculating noise metrics. Method results are cross-validated against the Aviation Environmental Design Tool (AEDT) on a single-event basis and an existing aggregate result on a multi-event basis. Results for a variety of metrics are presented based on data sourced from Boston Logan International Airport in 2016. Day-Night-Level (DNL) is calculated on a yearly, daily, and hourly basis, highlighting the variability in noise patterns depending on evolving airport runway configuration. N60 is calculated as a supplemental metric on a daily basis. S.M. 2022-02-07T15:20:48Z 2022-02-07T15:20:48Z 2021-09 2021-09-16T17:13:50.243Z Thesis https://hdl.handle.net/1721.1/140044 In Copyright - Educational Use Permitted Copyright MIT http://rightsstatements.org/page/InC-EDU/1.0/ application/pdf Massachusetts Institute of Technology |
| spellingShingle | Jansson, Madeleine Development of a Fast Method to Analyze Patterns in Airport Noise |
| title | Development of a Fast Method to Analyze Patterns in Airport Noise |
| title_full | Development of a Fast Method to Analyze Patterns in Airport Noise |
| title_fullStr | Development of a Fast Method to Analyze Patterns in Airport Noise |
| title_full_unstemmed | Development of a Fast Method to Analyze Patterns in Airport Noise |
| title_short | Development of a Fast Method to Analyze Patterns in Airport Noise |
| title_sort | development of a fast method to analyze patterns in airport noise |
| url | https://hdl.handle.net/1721.1/140044 |
| work_keys_str_mv | AT janssonmadeleine developmentofafastmethodtoanalyzepatternsinairportnoise |