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Suggested Citation:"APPENDICES." National Academies of Sciences, Engineering, and Medicine. 2013. Enhanced Modeling of Aircraft Taxiway Noise, Volume 2: Aircraft Taxi Noise Database and Development Process. Washington, DC: The National Academies Press. doi: 10.17226/22606.
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Page 51

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A-1 APPENDICES Appendix A. Madrid Data Processing Technique Appendix B. Wyle 2010 B777 IAD Taxi Noise Measurements and Data Processing Appendix C. ANOPP Sensitivity, Trade and Taxi Operation Studies C.1. Comparison of ANOPP Taxi Predictions with Measured Data C.2. EDS ANOPP Flight Datasets and Generalized Suppression Tables C.3. Suppression Data Input for ANOPP Flight Noise Computation C.4. ANOPP Individual Aircraft Taxi Noise Regression Coefficients C.5. Empirically Derived Taxi Noise Values and Assumed Thrust Appendix D. Ground Vortex Ingestion D.1. Narrow Band Analysis of Taxiing Aircraft Noise Data to identify Ground Vortex Ingestion D.2. Interpretation of Taxi Condition Inflow Distortion Effects D.3. ANOPP Inflow Distortion Model Appendix E. Taxi Noise versus Thrust Comparison Plots Appendix F. Taxi Noise INM/AEDT Dataset

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Enhanced Modeling of Aircraft Taxiway Noise, Volume 2: Aircraft Taxi Noise Database and Development Process Get This Book
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TRB’s Airport Cooperative Research Program (ACRP) Web-Only Document 9: Enhanced Modeling of Aircraft Taxiway Noise, Volume 2: Aircraft Taxi Noise Database and Development Process documents the procedures developed and employed in the creation of a taxi noise database for the U.S. Federal Aviation Administration’s Integrated Noise Model and Aviation Environmental Design Tool (AEDT). The AEDT is currently under development.

ACRP Web-Only Document 9: Enhanced Modeling of Aircraft Taxiway Noise, Volume 1: Scoping explores ways to model airport noise from aircraft taxi operations and examines a plan for implementation of a taxi noise prediction capability into the U.S. Federal Aviation Administration's integrated noise model in the short term and into its aviation environmental design tool in the long-term.

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