Noise environments outdoors and the effects of community noise exposure

1996 ◽  
Vol 44 (3) ◽  
pp. 109 ◽  
Author(s):  
Edgar A. G. Shaw
2020 ◽  
Author(s):  
Jennifer Weuve ◽  
Jennifer D'Souza ◽  
Todd Beck ◽  
Denis A. Evans ◽  
Joel D. Kaufman ◽  
...  

1995 ◽  
Vol 6 (6) ◽  
pp. 333-338 ◽  
Author(s):  
Gary W. Evans ◽  
Staffan Hygge ◽  
Monika Bullinger

This article illustrates the value of incorporating psychological principles into the environmental sciences Psychophysiological, cognitive, motivational, and affective indices of stress were monitored among elementary school children chronically exposed to aircraft noise We demonstrate for the first time that chronic noise exposure is associated with elevated neuroendocrine and cardiovascular measures, muted cardiovascular reactivity to a task presented under acute noise, deficits in a standardized reading test administered under quiet conditions, poorer long-term memory, and diminished quality of life on a standardized index Children in high-noise areas also showed evidence of poor persistence on challenging tasks and habituation to auditory distraction on a signal-to-noise task They reported considerable annoyance with community noise levels, as measured utilizing a calibration procedure that adjusts for individual differences in rating criteria for annoyance judgments


1982 ◽  
Vol 82 (1) ◽  
pp. 29-37 ◽  
Author(s):  
R.B. Bullen ◽  
A.J. Hede

2017 ◽  
Vol 54 (6) ◽  
pp. 2257-2269 ◽  
Author(s):  
Abhishek K. Sahai ◽  
Mirjam Snellen ◽  
Dick G. Simons ◽  
Eike Stumpf

2021 ◽  
Vol 263 (6) ◽  
pp. 787-798
Author(s):  
Juliet Page ◽  
Stephen A. Rizzi ◽  
Rui Cheng

Predictions of community noise exposure from the NASA urban air mobility (UAM) concept vehicles have been conducted for representative operations using the FAA Aviation Environmental Design Tool (AEDT) in order to demonstrate modeling tool interoperability and assess applicability, capabilities and limitations of integrated noise modeling tools. To both quantify limitations and highlight other capabilities, a comparative analysis is performed using a time simulation method, in particular, using the Volpe Advanced Acoustic Model (AAM). Starting with the same source noise model, the 3D directivity of a UAM concept vehicle is predicted in terms of aeroacoustic pressure time histories at a sphere of observers near the vehicle. In addition to distilling those data to a set of noise-power-distance data for input to AEDT, the data are processed preserving directivity, into narrowband, one-twelfth and one-third octave bands for input to AAM. Results from AEDT and AAM modeling are provided for a variety of metrics to demonstrate the effect that source noise and propagation modeling fidelity have on predicted results at receptors over a study area.


Sign in / Sign up

Export Citation Format

Share Document