Cumulative annoyance due to multiple aircraft flyovers with differing peak noise levels
Kevin P. Shepherd, United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch, Langley Research Center
National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1981 - Transportation - 27 pages
A laboratory study in which 160 subjects judged the annoyance of 30 minute sessions of aircraft noise is described. Each session contained nine flyovers consisting of various combinations of three takeoff recordings of Boeing 727. The subjects were asked to judge their annoyance in the simulated living room environment of the laboratory and also to assess how annoyed they would be if they heard the noise in their home during the day, evening, and night periods. The standard deviation of the sound level did not improve the predictive ability of L sub eq (equivalent continuous sound level) which performed as well or better than other noise measured. Differences were found between the projected home responses for the day, evening, and nighttime periods. Time of day penalties derived from these results showed reasonable agreement with those currently used in community noise indices.
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30-minute sessions aircraft flyover sounds ANALYSIS OF VARIANCE annoyance scores annoying the noise APPENDIX assess how annoyed assess their annoyance circle a number combinations of three community noise indices continuous sound level Correlation coefficient day penalties derived decay rate Differences were found DIFFERING PEAK NOISE DUE TO MULTIPLE EPNL equation relating mean equivalent continuous sound Extremely Annoying Figure flyovers occurring heard the noise independent variable individual sessions judged the annoyance judgments was examined laboratory study last two flyovers MULTIPLE AIRCRAFT FLYOVERS NASA night periods nighttime periods noise measures Number of Flyovers order of presentation peak dB(A peak levels peak noise levels Performing Organization presentation of sessions projected home annoyance Regression Analysis regression equation relating relating mean annoyance scale Schultz scoring sheet session contained nine sessions of aircraft significant Social Surveys sound pressure level standard deviation statistics was added subjects were asked Table test facility test session testing period total test